The Team

The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.

Our Vision                                                                     

• We pursue large scientific challenges that cannot be pursued in conventional environments
• We enable individual investigators to pursue their riskiest and most innovative ideas
• The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.

The Opportunity

The Biohub is seeking an accomplished Scientist  I to lead innovative investigations into spatial architecture of molecular systems and its role in controlling cell state dynamics. In our newly established Synthetic Spatial Omics Laboratory, we advance next-generation spatial multi-omics platforms for understanding how cells process combinatorial signals, designing synthetic biology toolkits, and capturing cellular temporal histories with spatial resolution.

The successful candidate will lead independent research projects integrating spatial multi-omics, synthetic biology, and systems-level analysis to investigate molecular neighborhood reorganization in response to perturbations, engineer programmable cellular functions, and identify the molecular drivers of cell state transitions. This position offers the opportunity to drive both technology development and fundamental discovery in a highly collaborative, interdisciplinary research environment. 

What You'll Do

• Lead the development and application of imaging-based multi-omics technologies (e.g., seqFISH and related approaches) to map subcellular molecular organization and cell state transitions.
• Design and perform perturbation experiments to decode how molecular neighborhoods respond to combinatorial signals.
• Engineer synthetic biology systems and profile their behavior using spatial multi-omics to understand and program cellular functions.
• Lead analysis of high-dimensional imaging and sequencing datasets using computational and machine learning approaches to identify organizational and regulatory principles. 
• Collaborate closely with researchers across genomics, synthetic biology, machine learning, and related disciplines.
• Contribute to and lead preprints, publications, presentations, and open science practices.

What You'll Bring

Essential - 

• PhD in Systems Biology, Molecular Biology, Immunology, Bioengineering or a closely related discipline.
• 3-4+ years of postdoctoral or equivalent research experience, with a strong record of scientific productivity.
• Demonstrated expertise in imaging-based omics and/or sequencing-based single-cell technologies.
• Expertise in molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
• Strong computational skills in Python, R, or comparable languages, with experience analyzing large-scale imaging and sequencing datasets.
• Proven ability to independently conceptualize research directions, design rigorous experiments, troubleshoot complex workflows, and lead projects from conception to publication.
• Collaborative mindset and strong scientific communication skills.

Nice to have - 

• Established track record in developing novel experimental or computational technologies.
• Prior work with imaging-based transcriptomics or genomics technologies.
• Prior work with immune cell types or immune cell engineering.
• Expertise in synthetic biology, CRISPR technologies, or engineered cell systems.
• Experience with temporal genomics, molecular recording, or lineage-tracing approaches.
• Background in regulatory network analysis, signaling dynamics, or models of cellular computation.

Compensation

The New York City, NY base pay range for a new hire in this role is $120,000.00 - $150,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid #LI-Onsite

The Team

The Biohub in New York is an independent nonprofit research institute that brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine. Biohub itself supports some of the brightest, boldest engineers, data scientists, and biomedical researchers to investigate the fundamental mechanisms underlying disease and develop new technologies that will lead to actionable diagnostics and effective therapies. We are guided by our values of scholarly excellence; disruptive innovation; hands-on engineering/hacking/building; partnership and collaboration; open communication and respect; inclusiveness; and opportunity for all.

Our Vision                                                                     

• We pursue large scientific challenges that cannot be pursued in conventional environments
• We enable individual investigators to pursue their riskiest and most innovative ideas
• The technologies developed at Biohub facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.

The Opportunity

The Biohub is seeking a skilled and motivated Research Associate to support innovative investigations into spatial architecture of molecular systems and its role in controlling cell state dynamics. In our newly established Synthetic Spatial Omics Laboratory, we advance next-generation spatial multi-omics platforms for understanding how cells process combinatorial signals, designing synthetic biology toolkits, and capturing cellular temporal histories with spatial resolution.

The successful candidate will contribute to projects integrating spatial multi-omics and synthetic biology to investigate molecular neighborhood reorganization in response to perturbations, engineer programmable cellular functions, and identify the molecular drivers of cell state transitions. This position offers the opportunity to develop expertise at the intersection of technology development and fundamental discovery in a highly collaborative, interdisciplinary research environment. 

What You'll Do

• Perform imaging-based multi-omics experiments (e.g., seqFISH and related approaches) to map subcellular molecular organization and cell state transitions.
• Carry out perturbation experiments to decode how molecular neighborhoods respond to combinatorial signals.
• Assist in engineering and characterizing synthetic biology systems using spatial multi-omics approaches.
• Support data processing and analysis using established computational workflows. 
• Collaborate with team members across experimental and computational disciplines.
• Contribute to preprints, publications, presentations, and open science practices as part of the research team.

What You'll Bring

• Bachelor’s or Master’s degree in Molecular Biology, Cell Biology, Biochemistry, Bioengineering or a closely related discipline.
• 1-2+ years of hands-on research experience in an academic and/or industry laboratory setting.
• Solid foundation in molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
• Working proficiency in Python, R, or comparable languages for the analysis of imaging and sequencing data.
• Strong organizational skills, attention to detail, and commitment to maintaining thorough experimental records.
• Ability to work both independently and collaboratively in a team-oriented research environment.
• Enthusiasm for learning new techniques and contributing to cutting-edge research.

Compensation

The New York City, NY  base pay range for a new hire in this role is $71,000.00 - $89,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid #LI-Onsite

The Team

Our AI research team sits at the heart of our mission to unlock new dimensions of biological understanding. You will leverage state-of-the-art AI to accelerate discovery and drive transformative insights in biology — developing novel AI models purpose-built for biological research, engineering robust systems that enable breakthrough science at unprecedented scale, and translating these advances into practical tools that empower researchers worldwide.

Our approach is comprehensive and integrated, bringing together world-class AI model development, exceptional engineering talent, high-quality biological data, powerful computing infrastructure, and strategic partnerships. Success requires excellence across five interconnected pillars: training frontier AI models specifically for biology; building engineering systems that maximize research velocity and efficiency; executing a sophisticated data strategy that fuels AI development; operating a world-class AI compute platform; and creating impactful products that transform AI capabilities into accessible scientific tools.

The Opportunity

This is an opportunity to shape the future of biological research by pushing the boundaries of what AI can achieve in science. You’ll work alongside leading experts in AI and biology, with the resources and mandate to tackle some of the most important questions in human health — advancing frontier AI research, accelerating engineering velocity, connecting rich biological data to AI systems, enabling reliable compute across environments, and translating models and data into usable, scalable applications that drive scientific impact.

The role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. We're a small team with significant resources and long time horizons. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts) each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.

We’re looking for a data scientist with deep expertise in genomics (e.g., bulk and single-cell sequencing, functional genomics, CRISPR screens), who thinks creatively about data representation and tokenization, and can translate that thinking into novel training architectures. You’ll work across experimental, computational, and AI teams to build scalable, interpretable genomic data systems that power next-generation biological models and accelerate human health discovery. You will operate with broad scope and high autonomy, influencing roadmap decisions across teams, and mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.

What You'll Do

• Set technical vision and strategy for the design of data representations and tokenization strategies for diverse biological data types that enable novel model architectures.
• Define data standards and quality metrics that enable reliable cross-dataset integration and model-ready data products.
• Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects
• Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve
• Partner deeply with ML engineers and AI researchers to co-design datasets and feedback loops that optimize model training, evaluation, and generalization.
• Lead cross-functional initiatives spanning data engineering, infrastructure, science, and product, aligning technical execution with long-term scientific goals.
• Identify and drive new data acquisition and generation opportunities, from external collaborations to internal experimental pipelines.
• Serve as a technical mentor and leader, raising the bar for data science and ML rigor across the organization.

What You'll Bring

• PhD in computational biology, bioinformatics, or a quantitative biological field 
• 8+ years of experience working with large-scale biological datasets (genomics, epigenomics, transcriptomics, proteomics, or multi-omics), including ownership of end-to-end data products.
• Deep understanding of biological measurement types (sequencing, imaging, proteomics, or related), their underlying data characteristics, and how to transform raw data into ai-ready datasets.
• Experience designing data representations or feature engineering for machine learning in biomedical contexts
• Strong computational skills (Python, scientific computing libraries); Demonstrated ability to design robust, extensible data architectures and to evolve standards in fast-moving scientific domains.
• Strong expertise in machine learning and statistical modeling, with experience applying these methods to data quality assessment, automation, or decision-making systems. Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Excellent communication skills, with the ability to translate between biology, ML, and engineering audiences.
• Creativity, Curiosity, scientific judgment, and a willingness to engage deeply with new biological domains and emerging AI paradigms.

Compensation

The Redwood City, CA  base pay range for a new hire in this role is $214,000 - $294,800. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

This position may be eligible to participate in Biohub's discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a hybrid position requiring you to be onsite for at least 60% of the working month, approximately 3 days a week, with specific in-office days determined by the team’s manager. The exact schedule will be at the hiring manager's discretion and communicated during the interview process.

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Hybrid 

Legend Biotech is seeking participants for Legend's Manufacturing Management, Leadership Development Program as part of the Technical Operations team based in Raritan, NJ.

Role Overview

The Early Career Leadership Program at Legend Biotech is a strategic, enterprise-focused development experience designed to accelerate the growth of high-potential professionals early in their careers. Rooted in our commitment to cultivating enterprise-minded, value-driven leaders, this program provides structured rotational exposure, executive mentorship, and real-time business impact across scientific, operational, and corporate functions.

Legend’s U.S. manufacturing network supports clinical trials and commercial CAR-T therapies for patients across the United States, with CARVYKTI® available at more than 140 treatment centers nationwide. Through our collaboration with Johnson & Johnson, we continue to expand manufacturing capabilities across both regions to meet growing patient demand. top

Join us in redefining what’s possible and build a career where your growth and patient impact go hand in hand

Key Responsibilities

• The Manufacturing Hi-Po Leadership Development Program at Legend Biotech is a 2.5–3 year leadership accelerator designed for high-potential Master’s graduates seeking to build careers at the intersection of advanced therapy manufacturing, operational strategy, and global supply.
• Participants will complete multiple-functional rotations (12 months each) within areas of Global Manufacturing; including Manufacturing Science & Technology (MSAT), Quality, Manufacturing, or Supply Chain over the course of the program. Rotations are tailored based on individual development goals, business needs, and participant interests, allowing candidates to gain targeted experience across key operational functions.
• This structured program integrates high-impact operations experiences, executive mentorship, and a Leadership Development Series focused on developing leaders at every level — from leading self and others to influencing senior stakeholders and driving enterprise-wide business outcomes.
• At Legend Biotech, we believe our people are our greatest asset. This program reflects our unwavering commitment to professional development, career mobility, and long-term leadership growth; empowering early-career talent to take on meaningful challenges, expand their impact, and shape the future of our organization.

Requirements

• Recent M.S or M.A Graduate (Class of 2023-2026)
• 2-3 years of professional experience in life sciences, manufacturing, engineering, or supply chain environments
• Strong analytical, problem-solving, and cross-functional collaboration skills.
• Demonstrated leadership potential and aspiration to grow into future operational and enterprise leadership roles.
• Degree in Biomedical Engineering, Supply Chain/Manufacturing, or related discipline.

#Li-CC1

#Li-Onsite

Legend Biotech is seeking a Principal Scientist, Lentivirus Downstream Process Development as part of the Technical Development team based in Somerset, NJ.

Role Overview

The Principal Scientist, Lentivirus Downstream Process Development, will be a key technical leader responsible for designing, optimizing, and scaling purification processes for lentiviral vectors (LVV) within our innovative pipeline. This role focuses on delivering high-quality vector products to support LVV generation and other advanced cell therapy programs. The successful candidate will drive scientific excellence in downstream processing (DSP)—including clarification, chromatography, TFF, sterile filtration and fill/finish—ensuring processes are robust, scalable, and phase-appropriate for GMP manufacturing. This position demands a blend of hands-on technical mastery and strategic thinking to accelerate timelines while maintaining a patient-focused approach.

Key Responsibilities

• Design and execute highly efficient purification strategies for lentiviral vectors, specifically optimized for CAR-T applications.
• Direct the development and optimization of downstream processes including and not limited to: clarification (depth filtration, centrifugation), chromatography (AEX, SEC, HIC), and Tangential Flow Filtration (TFF) for concentration and diafiltration.
• Provide hands-on training as needed.
• Direct the translation of bench-scale processes to GMP manufacturing, ensuring seamless technology transfer and providing troubleshooting support during clinical production runs
• Lead the execution of study protocols to define operating parameters and performance limits; implement state-of-the-art knowledge management for DSP data.
• Communicate the potential for issues and delays along with solutions and mitigation approaches.
• In collaboration with the Senior Leaders, CMC Project Manager, Project Leader, and other technical leads identify project acceleration opportunities.
• Leverage advanced science and technology to maximize vector recovery, purity, and potency, identifying creative solutions to define unknowns in the viral vector field.
• Guide a team of scientists in the execution of project-specific activities, fostering a culture of transparency, scientific rigor, and continuous improvement.
• Author and serve as a primary reviewer for technical documents, including development reports, SOPs, and CMC sections for regulatory submissions (IND/IMPD).
• Work closely with Upstream Process Development and Analytical Development teams to ensure integrated and holistic process outcomes.
• Tech transfer process to/from other Legend sites or CDMOs
• Resolve conflict and proactively identify/address performance issues.
• Ensure compliance with regulatory requirements. 

Requirements

• Advanced degree (PhD preferred, or MS) in Chemical Engineering, Biomedical Engineering, Virology, Molecular Biology, or a related field.
• 8+ years (PhD) or 10+ years (MS) of experience in process development or manufacturing within a biotech or pharmaceutical setting.
• Deep technical hands-on experience in purification, chromatography, and TFF specifically for viral vectors (Lentivirus preferred)
• Strong understanding of GMP manufacturing requirements and CMC strategies for early-phase clinical trials.
• Deep knowledge and hands-on experiences in cell and lentiviral vector technologies within the current emerging field
• Ability to implement closed-system processes and maximize cost effectiveness
• Strong knowledge in engineering modeling and optimization.
• Excellent leadership, emotional intelligence, and communication skills; ability to maintain composure and strategic focus during challenging development timelines.
• Creative, strategic thinking
• Strong troubleshooting skills
• Preferred experience in developing vector processes tailored for CAR-T generation and systemic delivery
• Preferred experience in handling large scale(>50L) purification process.
• Language: English. Mandarin is a plus. 

#Li-JR1

#Li-Hybrid

Lead Validation Engineer Responsibilities:

• Lead second shift CQV execution activities across multiple systems and workstreams
• Coordinate daily execution priorities to recover schedule slippage and maintain timelines
• Interface with QA, Engineering, and Operations to resolve issues in real time
• Oversee execution of IQ/OQ protocols and operational verification activities
• Support and review: 
  • Drawing walkdowns
  • Equipment and component verification
  • Materials of Construction (MOC) and weld verification
• Provide oversight for temperature mapping and validation activities
• Support SIP/CIP and related cycle development activities as needed
• Ensure all documentation meets GMP/GDP and audit-ready standards
• Drive deviation identification, escalation, and resolution

Job Requirements:

• Bachelor’s Degree or equivalent required (STEM degree, Biomedical Engineering, Chemical Engineering preferred)
• 8+ years of CQV/validation experience in pharma or biotech
• Strong hands-on execution background with process equipment (bioreactors, filtration, chromatography, UF)
• Proven experience leading validation teams or shift-based execution efforts
• Strong GMP/GDP knowledge
• Experience with eVal (required), ValGenesis a plus
• Experience with temperature mapping (Ellab a plus)
• This role is for 2nd shift. Must be able to work second shift (2-10 PM EST) and weekends

This role requires the ability to be on-site, full-time in Devens, MA.

Senior Validation Engineer Responsibilities:

• Execute IQ/OQ protocols and support operational verification activities
• Perform Drawing walkdowns (P&IDs, system verification)
• Perform Equipment/component verification
• Perform MOC and weld verification
• Support temperature mapping activities using data loggers and validation tools
• Assist with SIP/CIP execution and cycle development activities
• Identify and document deviations and support investigations
• Ensure accurate and complete documentation in compliance with GMP/GDP standards
• Work collaboratively with engineering, QA, and operations teams

Job Requirements:

• Bachelor’s Degree or equivalent required (STEM degree, Biomedical Engineering, Chemical Engineering preferred)
• 3–8 years of CQV/validation experience
• Hands-on experience executing validation for process equipment
• Strong GMP/GDP fundamentals
• Experience with IQ/OQ execution and field verification activities
• Experience with eVal (required), ValGenesis a plus
• Exposure to temperature mapping (Ellab a plus)
• Experience with bioprocess equipment preferred (bioreactors, filtration, chromatography, UF)
• This role is for 2nd shift. Must be able to work second shift (2-10 PM EST) and weekends

This role requires the ability to be on-site, full-time in Devens, MA.

Job Description:

We are seeking an experienced and highly qualified Biomedical Engineer to join our healthcare organization. As a Biomedical Engineer, you will play a pivotal role in managing our medical equipment program and ensuring the safety, functionality, and compliance of medical technology within our healthcare facility. The ideal candidate will have a minimum of three years of hospital or healthcare experience in medical equipment maintenance or management and possess a deep understanding of computer-based medical systems, networking protocols, information security, and healthcare standards and regulations.

*Travel associated with this role will consist of being away for about a week every 2 months*

Responsibilities:

• Develop and implement a comprehensive medical equipment management program that complies with applicable healthcare standards, regulatory agencies, and industry best practices.
• Create and deliver a curriculum for a continuing education program focused on the safe and effective use of medical technology for healthcare staff.
• Manage a recall and safety alert program for medical devices, including conducting medical device hazard investigations, to ensure compliance with patient safety goals, SMDA (Safe Medical Devices Act), and TJC (The Joint Commission) requirements.
• Lead capital asset and infrastructure planning for medical equipment, covering initial concept, installation, and effective implementation of complex medical technology.
• Serve as the subject matter expert in the field of biomedical engineering, providing direct support for specialized clinical technology, including service, system administration, training, quality assurance, and life-cycle management.
• Advise clinical and administrative staff on medical technology, including existing and emerging technology, to assess viability, long-term suitability, compatibility, and safety.
• Apply project management principles to the deployment of medical equipment and health information technologies, ensuring timely and effective implementation.
• Collaborate with key stakeholders, including technical and professional staff at various levels of the organization, to ensure seamless integration of medical technology.
• Stay updated on regulatory agencies' requirements, industry regulatory standards, and International Standard Organization (ISO) standards to maintain compliance and drive continuous improvement.

Basic Qualifications:

The Contractor key personnel shall meet one of the following basic qualifications, regardless of role in the services provided under this contract:

• Experience within a medical center and Biomedical Engineering department
• OR, Experience working in or with the Veterans Health Administration (VHA)
• OR, Understanding of VISN, VA medical center, and Biomedical Engineering department operations

In addition to the basic qualifications, the Contractor key personnel shall meet the following role-specific qualifications based on the core functions and services each will be providing under this contract.

Role Specific Qualifications: 

• A Bachelor’s degree or higher in Engineering or Certification as a Clinical Engineer (CCE). 
• 5+ years experience as a Hospital-based BME or a Field Service Engineer with extensive laboratory experience. Major laboratory vendor (e.g., Abbott, Roche, Beckman Coulter etc.) experience preferred.
• Strong knowledge and familiarity with laboratory management systems, both General Lab and Point-of-Care. Knowledge of Data Innovations Instrument Manager, Abbott RALS and Siemens UniPOC highly desirable.
• Experience with Oracle Health (formerly Cerner) EHR, strong experience with Oracle Health (CareAware) MDI and PathNet required.
• Demonstrated knowledge of concepts related to computer based medical systems, networking protocols, and information security as it applies to medical technology within VHA.
• Demonstrated competency in the ability to conduct a medical equipment management program that is compliant with applicable healthcare standards and regulatory agencies; ability to develop a curriculum for a continuing education program that address the safe and effective use of medical technology; ability to manage a recall and safety alert program for medical devices, including medical device hazard investigations, to assure compliance with patient safety goals, SMDA, and TJC requirements; ability to conduct capital asset and infrastructure planning for medical equipment spanning initial concept, installation, and effective implementation of complex medical equipment; ability to function as the subject matter expert in the field of biomedical engineering, directly supporting specialized clinical technology, including service, system administration, training, quality assurance, and life-cycle management; ability to effectively advise clinical and administrative staff on medical technology, including existing and emerging technology, which addresses viability, long-term suitability, compatibility, and/or safety; to apply project management principles to deployment of medical equipment and health information technologies.
• Demonstrated skill in in communicating and working collaboratively with key stakeholders, including technical and professional staff at various levels of the organization.
• Understanding of regulatory agencies’ requirements, industry regulatory requirements and International Standard Organization standards.

Eligibility:

Compensation:

Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.

Salary range: $90,000 - $120,000

Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental and vision), paid time off, federal holidays, and matching 401K plan.

Job Summary of the Material Control Technician

The Material Control Technician will help support and execute process controls for human tissue, critical supplies, and support functions throughout the Axogen Processing Center cGMP facility for surgical transplantation while ensuring compliance with applicable federal, state and AATB/FDA regulations. The Material Control Technician will support the Supervisor, Lead Technician and Engineering team as required in the Manufacturing and Processing Operations.

Requirements of the Material Control Technician

• High School Diploma or equivalent
• Valid driver’s license
• Experience in a cGMP environment is preferred, not required
• Forklift Cetification is preferred, not required
• ERP system experience is preferred, not required
• Must be proficient and able to effectively assist in training of current processes.
• Experience in 1 or more additional cross-functional support skills required (e.g. environmental monitoring, inventory recording, etc.).
• Ability to make decisions based on awareness of area operations is necessary.
• Good written/verbal communication skills, interpersonal skills and analytical troubleshooting skills.
• Must be able to deal with people under high pressure and in a constantly changing environment.
• Must be able to travel to and work at other Axogen locations on an as needed basis.
• Requires exerting up to 50 pounds of force occasionally and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to lift, carry, push, pull or otherwise move objects.
• Requires the following physical abilities: mental acuity, visual acuity, walking and standing for longer period of time, repetitive motion, speaking, grasping, manual dexterity, talking, and hearing.

Responsibilities of the Material Control Technician

The specific duties of the Material Control Technician include but are not limited to:

• Receives, stores, picks and ships raw materials, supplies and/or finished products in conjunction with internal and external requirements.
• Handles, moves and stores various non-hazardous and hazardous materials.
• Coordinates timely accurate flow of materials from warehouse inventory to work-in-process/production areas.
• Coordinates timely accurate flow of finished products to support shipments to customers and other destinations.
• Responsible for implementing and maintaining the effectiveness of the quality system, including maintaining proper first in and first out.
• Store, issue, or prepare materials in the warehouse, verifying the lot number, quantity, release status and any other unique identifiers using good documentation practices.
• Check materials against packaging lists, invoices, freight bills or other pertinent documentation to assure conformity and accuracy.
• Deliver materials to processing areas in a timely manner, maintain proper FIFO flow of raw materials and other time sensitive supplies.
• Maintain and sustain organized workspaces for tissue, supplies, and finished goods warehouse areas.
• Maintain accurate records and reconcile inventory errors.
• Accountable for personal safety and adhering to the safety guidelines.
• Must supply materials to functional areas or move to and from dock areas to maintain efficient shipping and receiving operations.
• This position is accountable for complying with applicable FDA (GMP), USDA, OSHA and Axogen regulations, policies, procedures or guidelines, assembly and review, processing, debridement, cleaning, safety, cleanroom behavior and documentation as needed.
• Participate in daily stand-up meetings, continuous improvement projects, adhere to established work practices like Kanban signals, and 5S initiatives.
• Performs other duties as directed by Supervisor.
• May be required to work in other Axogen roles or departments as needed.
• Complies with all company policies, procedures and SOPs.
• Required to cover call schedule, to include, holidays and weekends as assigned.

Working & Environmental Conditions

• Subject to handle potential infectious human tissue, nerves, umbilical cords, blood and bodily fluids. Also, subject to handle chemicals and hazardous / non-hazardous waste. Work involves risks or discomforts which require proper standard and universal precautions in a Biomedical manufacturing environment e.g., use of safe workplace practices with manufacturing equipment, wearing PPE during various tasks/activities including but not limited to, gowns, gloves, masks and safety glasses. Potential exposure to latex from gloves.
• May be required to sit for 2-4 hours or more debriding and evaluating unprocessed and processed human tissue. Required to wear surgical magnification loupes for 2-4 hours or more to evaluate tissue unprocessed and processed tissue.

Location

913 Industrial Drive Place, Vandalia, OH  45377

Benefits/Compensation

Applied Research Engineer II, Human Wellness 

Needham, MA, United States 

Our purpose is to positively impact people’s lives every day in every home around the world! We work very hard to provide our consumers with high-quality, exciting 5-star products that make life easier. We thrive on passion and innovation and are looking for great people, with great ideas, who want to build the next big thing and develop while they do. 

Are you ready to take your skills to the next level and join a company that thrives on Innovation?  If yes, I have the perfect position for you!  

Our mission to positively impact people's lives every day in every home around the world allows our employees to be thinkers and tinkerers, designers and doers, creators and number crunchers, makers of things they love.  As we continue to grow, we are excited to add an Applied Research Engineer II to our global team.  

Overview 

The Research and Development Team at SharkNinja is seeking an experienced, versatile Engineer II to help deliver an exceptional pipeline of new technologies across the beauty and human wellness spaces. In this role, you will work at the intersection of research and engineering—translating scientific insight into real-world solutions that meaningfully improve people’s lives. 

As an Engineer II, you will take ownership of complex, open-ended technical challenges, partner closely with cross-functional teams, and influence technical direction and product definition through technology exploration and applied scientific research. This role is well-suited for someone who thrives in ambiguity, takes initiative, and enjoys shaping problems as much as solving them. 

What You’ll Do 

• Evaluate emerging technologies and help guide research roadmaps and investment decisions 
• Lead applied research initiatives in human health and wellness to test hypotheses and support product claims 
• Develop and refine algorithms, models, and experimental methods across a broad range of biomechanical and physiological data streams 
• Synthesize findings and communicate clearly through presentations and written materials for both technical and non-technical audiences 
• Collaborate closely with engineering, product, marketing, and regulatory partners to translate research into impact 
• Engage with external experts to accelerate innovation and support clinical studies for medical devices 
• Mentor junior researchers and provide hands-on technical leadership across projects 
• Uphold high standards for scientific rigor, reproducibility, and ethical research practices 

Attributes and Skills 

• MS in Bioengineering, Biomedical Engineering, Mechanical Engineering, Physical Therapy, or a related field—or equivalent practical experience  with 2+ years' of experience or a PhD in the same fields with 0+ years' of experience.
• 0 - 2+ years of applied research experience in industry, research labs, or translational academic environments 
• Strong foundation in experimental design, statistical analysis, and data interpretation 
• Hands-on experience working in laboratory settings with diverse test equipment and instrumentation 
• Knowledge in one or more of the following areas: human anatomy and physiology, biomechanics, physics of biological tissues, or human gait and movement 
• Proficiency in computational programming (e.g., Python, MATLAB) 
• Ability to work independently, prioritize effectively, and make progress amid evolving requirements 
• This is an in-person role based in our Needham, MA office 

Preferred Attributes 

• Demonstrated success translating research into shipped products, deployed systems, or validated claims 
• Experience developing wearable sensors or medical devices 
• Hands-on prototyping and experimental protocol development experience 
• Comfort balancing multiple initiatives and adapting to shifting priorities while maintaining focus on long-term goals 

Work Period: July 2026 to December 2026

Location & Schedule: This is a full-time, 40-hour-per-week position with 5 days per week onsite in Needham, MA.  There is no relocation or housing assistance for this position.

Join the SharkNinja Early Edge Experience: Built for early career talent. Geared toward impact. Driven by speed. Whether you're in a co-op or internship, our early talent program is designed to provide valuable exposure to the industry and a fast-paced professional environment. You’ll dive into meaningful projects and tasks that sharpen your skills and deepen your knowledge. Along the way, you’ll benefit from professional development opportunities, community events, and connections that make your experience well-rounded and enriching. Your time with us will culminate in an opportunity to showcase your contributions and learnings to SharkNinja leaders because this is a program for those ready to shape what’s next — fast.

This role: As a Mechanical Engineering Co-op, Wearable and Biomedical Devices at SharkNinja, you will work alongside a world-class group of engineers working on wearable, biosensing, and medical device technologies within our Shark skincare space. This role offers hands-on experience across the full product lifecycle, including prototyping, testing, data analysis, and refinement of devices that integrate sensors, embedded hardware, and user-centered design. You will contribute to the development of systems that measure and interpret physiological signals such as ECG, PPG, EMG, temperature, motion, and impedance, applying core concepts in biomechanics, signal processing, and control systems. This role provides hands-on exposure across the full product lifecycle, from early concept development and prototyping through testing, refinement, and validation. You will support the design and evaluation of sensor-enabled systems, contribute to data-driven engineering decisions, and collaborate across disciplines to deliver solutions that balance performance, usability, and reliability. If you are motivated by applying engineering fundamentals to real-world health and wellness challenges and want to help shape the future of how people interact with technology on and around the body, this could be your next role.

Here are some of the EXCITING things you’ll get to do:

• Support research, ideation, and exploration of wearable and biomedical product opportunities within the Shark skincare space (like Shark CryoGlow)
• Apply knowledge of biomechanics, signal processing, or control systems to real-world engineering challenges
• Support the collection, interpretation, and analysis of physiological and system-level data to inform design and performance decisions
• Work with sensor-enabled systems and data acquisition platforms to help evaluate functionality and user experience
• Use MATLAB and or Python to analyze data, visualize trends, and support the development of analytical tools and models
• Participate in design discussions and technical reviews, considering principles of safety, usability, and reliability throughout development
• Gain exposure to materials and components intended for skin-contact and body-worn applications, with an emphasis on user comfort and performance
• Collaborate cross-functionally with engineers, designers, and product partners to align technical insights with user needs
• Develop an understanding of the user journey and the role of data-driven design in creating intuitive, trustworthy health-focused products

 ATTRIBUTES & SKILLS:

• Education: Current student in a related bachelor's, master’s, or doctorate program, or has graduated from such a program within the past year
• Coursework or project experience in biomechanics, signal processing, or control systems
• Must be able to work a full-time, 40-hour-per-week schedule with 5 days per week onsite in Needham, MA
• Familiarity with physiological signals (e.g., ECG, PPG, EMG, temperature, motion, impedance) and basic signal processing concepts
• Working knowledge of MATLAB and/or Python for data analysis, visualization, and algorithm development
• Strong understanding of mechanical engineering/physics fundamentals including thermodynamics, fluid mechanics, and mechanical design
• Understanding of medical device design principles, including safety, usability, and reliability
• Solid analytical skills, attention to detail, and relentless drive to identify potential problems and take responsibility for their resolution
• Intellectual curiosity and creativity, strong first principles thinking, positive can-do attitude, and proven ability to deliver robust, elegant, and innovative solutions to complex design challenges
• Willingness to roll up sleeves and dive into hands-on development and testing workstreams
• Ability to communicate with both technical and non-technical colleagues  , effectively, and concisely
• Comfortable multitasking and responding quickly to shifting priorities without losing sight of longer-term projects
• Passionate about product design & function
• Can identify, solve, implement and verify technical solutions autonomously and as part of a team
• “Hands-on” experimental testing of some sort, either in the workshop or in a science context
• Experience with Developer kits such as Python, Arduino, Raspberry Pi is desirable
• Experience with biocompatible materials, electrodes, or skin-contact sensors is preferred
• Embodies SharkNinja's success drivers:
  • Rarely Satisfied – Adopt a “no delays” mentality in delivering against market needs/timing
  • Progress over Perfection - Make quick, daily progress and continuously adapts to achieve results rather than requiring perfect planning
  • Details Make the Difference - Can coordinate timelines & deliverables to ensure accuracy and consistency across all consumer-facing materials
  • Winning is a Team Sport - Ability to develop strong cross-functional relationships
  • Communicate for Impact - Strong communication skills - ability to deliver effective presentations to all levels of management

Please note that, due to the high volume of applications for early talent roles, response times may vary depending on the specific role and timeline. Our team appreciates your patience!

Why Join Us?

As a member of the Parabilis Medicines team, you will be a part of an organization dedicated to creating extraordinary medicines for diseases with urgent unmet needs, harnessing our proprietary peptide platform to transform treatment possibilities for patients. Parabilis is a clinical-stage biopharmaceutical company dedicated to unlocking high-impact protein targets long-considered undruggable. The company has developed a new class of stabilized, cell-penetrant alpha-helical peptides – Helicons™ – capable of modulating intracellular proteins that are inaccessible to traditional drug modalities.

Headquartered in Cambridge, Mass., Parabilis is advancing a focused pipeline of multiple first-in-class therapies across both rare and common cancers. Its lead asset, zolucatetide (FOG-001), is a first-in-class, clinically validated direct inhibitor of the interaction between β-catenin and the T-cell factor (TCF) family of transcription factors, implicated in millions of cancer cases annually, including in colorectal cancer, desmoid tumors, hepatocellular carcinoma and a range of other Wnt/β-catenin-driven tumors. In Phase 1 clinical trials, zolucatetide produced the first-ever clinical evidence that it can directly inhibit this interaction, once previously considered “undruggable” despite its role across multiple cancer types. Parabilis is also advancing investigational degraders of ERG and ARON into clinical development for the treatment of prostate cancer, as well as progressing other preclinical programs. Backed by a recent $305 million Series F financing, Parabilis is entering an exciting phase of growth and execution.

What’s the opportunity?

The Vice President, Medical Affairs Oncology is a member of the Development Leadership Team reporting to the Chief Medical Officer. This senior executive leader is accountable for the end-to-end design and execution of the Medical Affairs strategy across Parabilis portfolio, including Scientific Communications, Medical Education, Evidence Generation, Key Opinion Leader (KOL) Engagement, Publication Planning, and Medical Information. This role ensures scientific excellence and cross-functional integration across all development programs and builds a scalable Medical Affairs organization capable of supporting global, multi-indication growth.

Key Responsibilities:

Strategic Leadership

• Define and execute the Medical Affairs Oncology strategy aligned with the clinical development roadmap and portfolio priorities.
• Serve as a core member of the Development Leadership Team and contribute to broader
• Development governance and portfolio decision-making.
• Support portfolio-level medical prioritization, lifecycle planning, and cross-indication strategy.

KOL Engagement & Medical Education

• Build and sustain relationships with leading KOLs, academic medical centers, and cooperative groups relevant to Parabilis’ pipeline.
• Design and oversee Medical Education programs that advance understanding of Parabilis’ science, novel mechanisms, and unmet need across tumor types.

Evidence Generation & Publication Strategy

• Lead the development and execution of a robust evidence generation strategy, including investigator-initiated studies, real-world evidence, and health outcomes research
• Oversee development and execution of a comprehensive publication plan aligned with clinical milestones and regulatory timelines
• Build global medical affairs infrastructure to support multi-program, multi-regional growth
• Drive Medical Affairs KPIs and impact metrics in support of portfolio strategy and commercial readiness

Scientific Communications & Medical Information

• Lead scientific communications strategy to accurately and compellingly convey the differentiated profile of Parabilis’ Helicon™ platform and pipeline assets
• Oversee Medical Information function, ensuring timely, accurate, and compliant responses to healthcare professional inquiries
• Oversee the creation of high-quality medical education materials, slide decks, and scientific exchange resources
• Establish scalable medical affairs infrastructure to support launch readiness across tumor types and geographies

Patient Advocacy and Patient Support

• Building trusted partnerships with advocacy organizations across Parabilis' specific tumor types
• Integrating the patient voice into MA strategy, trial design, and evidence generation
• Collaborating with patient communities on disease awareness and education
• Developing patient support programs to improve access, adherence, and trial participation ensuring all patients’ engagement is conducted with ethical rigor and full compliance

Cross-functional Partnership & Commercial Readiness

• Partner closely with Clinical Development, Regulatory Affairs, and New Product Planning to ensure scientific and medical alignment across the development and pre-commercialization continuum
• Support payer strategies by contributing to value dossiers, HEOR data packages

Compliance & Medical Governance

• Lead development and continuous improvement of Medical Affairs SOPs, governance frameworks, and compliance systems
• Ensure all Medical Affairs activities are executed in accordance with applicable regulations, industry codes, and Parabilis’ internal policies

Organizational Leadership

• Build and mentor a high-performing Medical Affairs Oncology team with deep scientific expertise and strong cross-functional collaboration skills
• Establish clear accountability, performance metrics, and a culture of scientific rigor and integrity
• Foster a culture of collaboration, scientific curiosity, and patient-centricity across the Medical Affairs team

What you’ll need to be successful:

• MD required; PharmD or PhD in a relevant biomedical discipline may be considered with commensurate experience
• 15+ years of progressive biopharmaceutical industry experience, with a minimum of 8 years in Medical Affairs with deep scientific expertise in oncology
• Demonstrated success building and leading Medical Affairs organizations, including KOL engagement, evidence generation, and scientific communications
• Experience standing up Medical Affairs capabilities in high-growth, clinical-stage biotech or pharmaceutical environments
• Strong scientific credibility, executive leadership presence, and ability to engage effectively with both internal and external stakeholders
• High emotional intelligence and track record of cross-functional influence across Development, Commercial, and Regulatory functions

Core Values

Parabilis Medicines is a team of passionate pioneers who are trailblazing the future of precision medicine with the aim of making a meaningful difference in the lives of patients. The company is committed to promoting an inspiring and flourishing working environment for all employees across the business, in all departments, and driving innovation for patient benefit.

• Growth-Minded. We’re inventing a new class of medicines—one applicable to therapeutic targets that have been dreamt about, but always considered impossible to drug. Our work requires us to be curious, humble and adaptable.
• In(ter)dependent. We are fiercely independent as a leader in defying the limitations of current therapeutic modalities, and interdependent as a team as we work collaboratively to shift drug discovery paradigms and provide patients with better treatment options.
• Patient-focused. We are deeply focused on patient outcomes, and all energy in the company is focused on science as it translates to patient impact.
• All-In. We’re All-In on solving some of the hardest scientific challenges and delivering one of the most effective new classes of drugs in history.

The base salary range for this position is $360,000-$410,000 per year, depending on experience, qualifications, and internal practices. Parabilis’s total compensation package also includes an annual target bonus, equity, and a comprehensive suite of competitive benefits designed to support our employees’ overall well-being.

As an equal opportunity employer, Parabilis Medicines values an inclusive workplace and welcomes applicants of all backgrounds and experiences. All qualified applicants will receive consideration for employment without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other factors prohibited by law.

30 Acorn Park Drive    |     Cambridge, MA 02140    |    www.parabilismed.com

VP of Life Sciences Sales - London

GLG is seeking a tenacious, senior commercial leader to join our Healthcare & Life Sciences team, supporting pharmaceutical, biotechnology, medical device, and diagnostics clients.

The VP of Sales – Life Sciences is a senior, hunter-focused, individual contributor role on GLG’s Corporate Sales team and will play a critical part in GLG’s growth across EMEA. The role is responsible for originating and developing strategic partnerships across top 30 global pharmaceutical, biotech, medtech and diagnostics companies, as well as high‑growth innovators, and for materially increasing GLG’s share of wallet within these accounts.

Based in London, this role will initially be a senior individual contributor position with clear potential to evolve into a player‑coach remit (building and leading a small team) as the business scales.

At GLG you will have the opportunity to grow professionally while working in a collaborative, fast‑paced environment with high‑performing colleagues across Europe, the US, and globally.

Key Responsibilities

Commercial Leadership & New Business Generation

• Lead GLG’s life sciences new logo and expansion efforts in EMEA, with a specific focus on top‑tier pharma, biotech, medtech, and diagnostic clients.
• Own and execute a proactive hunting strategy: identify, qualify, and close high‑value opportunities across priority accounts and whitespace prospects.
• Develop and execute strategic account plans for your book of business, including multi‑year growth strategies, revenue targets, and clear action plans by stakeholder, product, and geography.
• Consistently build, manage, and convert a robust pipeline of opportunities, with strong discipline around qualification, forecasting, and deal progression.

Senior Client Engagement & C‑Suite Relationship Building

• Build, deepen, and institutionalise senior‑level relationships (Director, VP, SVP, C‑Suite) across R&D, Medical, Commercial, Market Access, Strategy, Business Development / Licensing, and Insights / Market Research.
• Serve as a trusted advisor to clients, articulating how GLG’s expert network, integrated solutions, and data & insights can address strategic, clinical, commercial, and operational challenges.
• Lead complex, multi‑stakeholder sales cycles, including enterprise‑level, cross‑functional agreements, multi‑year commitments, and global / regional frameworks.
• Prepare and deliver compelling, tailored pitches and proposals that clearly demonstrate ROI and differentiation versus alternative information & research providers.

Territory & Account Strategy

• Define and own a focused territory and account strategy for Life Sciences in the UK & broader EMEA, aligned with GLG’s growth priorities.
• Map key accounts end‑to‑end (functions, decision‑makers, budget owners, influencers), identifying expansion paths across brands, franchises, business units, and geographies.
• Partner closely with regional and global sales leadership to prioritise bets, structure commercial constructs, and align on pricing / negotiation strategy.

Cross‑Functional Collaboration & Execution

• Work closely with GLG project and client solutions teams to ensure flawless delivery against client needs, including expert consultations, surveys, and integrated solutions.
• Collaborate with research teams to identify emerging therapeutic areas, modalities, and technology trends where GLG can build differentiated offerings for life sciences clients.
• Coordinate with marketing to shape campaigns, events, and content tailored to priority accounts and segments; actively participate in industry conferences and GLG‑hosted events.
• Engage with internal stakeholders (legal, compliance, finance, operations, IT) to structure complex deals, manage risk, and enable scalable growth.

Leadership & Future Team Building (Player‑Coach Evolution)

• Act as a senior commercial voice within the EMEA Healthcare & Life Sciences team, sharing best practices and supporting the development of more junior sales colleagues.
• Help define the future operating model for Life Sciences sales in London / EMEA, including input into hiring plans, territory design, and go‑to‑market approach.
• Over time, take on management responsibility for a small team of hunters / BDMs while maintaining direct ownership of key strategic accounts (“player‑coach” model).

Operational Excellence & Governance

• Maintain rigorous CRM hygiene: log activities, opportunities, and account plans; provide accurate, timely pipeline and forecasting updates to senior management.
• Track and report on key sales KPIs (pipeline coverage, win rates, sales cycle length, ACV, expansion, retention), using data to refine strategy and tactics.
• Stay up‑to‑date on pharmaceutical / biotech regulatory developments, market dynamics, and competitive landscape (including other expert networks and insight providers), and translate these into commercial opportunities.
• Travel regularly to client sites and industry events across the UK and EMEA to build and reinforce long‑term client partnerships.

Ideal Candidate Profile

• Bachelor’s degree or above; an advanced degree (e.g. MSc, PhD, MBA) and/or a life sciences‑related field (biology, chemistry, pharmacology, biomedical sciences) is strongly preferred.
• 7–10 years of professional experience, with the majority spent in quota‑carrying B2B sales / business development roles selling into pharmaceutical / biotech / medtech / diagnostics clients.
• Proven track record of hunting and closing new business with enterprise‑scale life sciences organisations, ideally across multiple EMEA markets.
• Experience selling knowledge, data, SaaS, consulting, market research, or analytics solutions to life sciences clients (e.g. expert networks, MR agencies, HEOR, RWE, or clinical / commercial data platforms).
• Demonstrated success managing complex, multi‑stakeholder sales cycles and negotiating significant contracts (six‑figure plus annual contract values; multi‑year agreements a plus).
• Strong understanding of the pharmaceutical and biotech value chain (from discovery and early development through clinical, regulatory, launch and lifecycle management), and how insight / information products support decision‑making at each stage.
• Experience with both new logo acquisition and expansion / cross‑sell / upsell within existing accounts; comfortable building “land & expand” strategies.
• Previous exposure to subscription, SaaS, or recurring revenue models, including experience with renewals and expansion of annual contracts.
• Outstanding written and verbal communication and presentation skills; able to engage credibly with senior scientific, medical, commercial, and strategy stakeholders.
• Demonstrated ability to work autonomously in a high‑performance environment, take ownership of a revenue number, and consistently meet or exceed targets.
• High integrity, professionalism, and sound commercial judgment; comfortable operating in a highly compliant, regulated environment.
• Proficiency with CRM systems (e.g. Salesforce) and common sales enablement tools; strong command of Microsoft Office (PowerPoint/Excel) for building account plans and client‑ready materials.
• Willingness and ability to travel regularly across the UK and EMEA as client and business needs require.

Location & Compensation

• Location: London, UK (travel to client sites and GLG offices as required).
• Compensation: Competitive base salary plus uncapped performance‑based incentive plan, commensurate with experience and market benchmarks for senior life sciences sales talent in London. GLG is committed to fair and equitable compensation practices; actual compensation will be based on factors including skill set, depth of experience, and specific profile.

About GLG

GLG is the world’s insight network. Our clients rely on GLG’s global team to connect with powerful insight from our network of approximately 1 million experts – and the hundreds of new experts we recruit every day.

We serve thousands of the world’s leading businesses, from Fortune 500 corporations and top technology companies to professional services firms and financial institutions. We connect our clients to first‑hand expertise from executives, scientists, academics, former public sector leaders, and specialist practitioners.

GLG’s industry‑leading compliance framework allows clients to learn in a structured, auditable, and transparent way, consistent with their internal compliance obligations and the highest professional ethical standards. Our compliance standards are a major competitive differentiator and a key component of our culture.

To learn more, visit www.glginsights.com.

Research Engineering (Machine Learning), London 

We are looking for Research Engineers with different levels of experience - Mid through to Senior, Staff, Principal or equivalent levels.

Your impact 

This is an exciting opportunity for you to contribute to frontier research at the intersection of AI and drug design.

Working in a highly creative, iterative environment, you will be partnering with scientists and engineers to advance foundational models that will transform the biopharmaceutical world as we know it.  

You will draw upon your existing engineering and Machine Learning experience whilst learning from those around you, to apply novel techniques and ideas to newly encountered computational biology and chemistry problems.

What you will do 

Implementation & Optimisation:

• Translate research concepts into practical implementations by developing and optimising state-of-the-art AI models, and building and maintaining robust codebases, data pipelines, and infrastructure for training and evaluation.

Experimentation & Evaluation:

• Design, implement, and run experiments to evaluate the performance and robustness of ML models, using a full spectrum of state-of-the-art machine learning methods. Evaluating, tuning, and maintaining AI/ML models (which includes collecting and preparing data as needed)

Evaluation & Inference:

• Implement algorithms and software to analyse and evaluate the performance of AI models.
• Optimising performance of AI/ML models such as Diffusion models, Transformers, GNNs, leveraging a deep understanding of the AI/ML hardware+software stack
• Advise on how to bring AI/ML models to production and/or integrating them into product offerings, and monitoring and refining their behavior.
• Developing specialised tools/frameworks/infrastructure to aid in the work above

Collaboration & Knowledge Sharing:

• Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment.

Innovation & Impact:

• Proactively identify and address technical challenges, stay updated on the latest AI advancements, and focus on developing solutions that enable scaling our wider foundation and applied model platforms.
• Ability to execute on independent engineering projects and software development towards research goals.

Skills and Qualifications

Essential

• PhD in technical subject with major engineering component and exposure to AI/ML, or BSc, MSc and 2+ years of specific experience working on ML model development:
• Strong general engineering experience, as evidenced by exposure to one or more of:
• Software design / algorithms, especially for deep learning frameworks
• Modern ML frameworks such as JAX, PyTorch or TensorFlow
• Distributed systems and runtimes
• Compilers (e.g. XLA, Triton, CUDA, Pallas, …)
• Large scale model training and serving infrastructure
• Experience in navigating complex research codebases
• Databases and data processing pipelines
• Numerical methods, simulation, optimisation

• Strong fundamentals in mathematics, statistics, linear algebra
• Experience with the full ML research and development lifecycle.
• Strong understanding of ML theory and applications.
• Strong understanding of data structures and algorithms.

Nice to have

• Interest in chemistry and biology.
• Experience working with biomedical data.
• Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.

Job Summary of the Sr. IT Project Manager, ERP & Process Improvement

We are seeking a highly skilled Sr. IT Project Manager with proven success delivering IT projects ranging from simple enhancements to complex, multi-system initiatives and implementations within the biomedical, life sciences, or healthcare technology sectors.  This hybrid role is based out of Tampa, FL, supporting the IT organization with a blend of project management, business process improvement, and organizational change management. This role will partner with cross-functional operational and corporate teams to improve systems, strengthen processes, deliver projects on time and on budget, and ensure successful adoption of technology solutions in a regulated environment.

Requirements of the Sr. IT Project Manager, ERP & Process Improvement

Required

• • Minimum 5 years of progressive project management experience in IT environments.
  • Minimum 3 end-to-end ERP Implementations.
  • Grasp of broader enterprise systems such as ERP, LIMS, HRIS, QMS, MES, CRM, data platforms, and/or validated systems.
  • Proven business process improvement achievements with quantifiable results.
  • Hands-on experience executing change management strategies and adoption plans.
  • Strong communication and executive presentation skills.

 Preferred

• • Certifications: PMP, Lean Six Sigma Green/Black Belt, and/or Agile.
  • Experience in biomedical, life sciences, pharma, biotech, med device, or healthcare.
  • Familiarity with regulatory frameworks and validated IT environments.
  • Previous work within an IT PMO or Digital Transformation group.

Responsibilities of the Sr. IT Project Manager, ERP & Process Improvement

The specific duties of the Sr. IT Project Manager, ERP & Process Improvement include but are not limited to:

Project Management

• • Lead full-lifecycle projects for IT systems supporting lab operations, research, clinical workflows, QA/RA, and enterprise functions.
  • Build and manage detailed project plans, schedules, budgets, and governance structures.
  • Ensure compliance with GxP, FDA guidance, HIPAA, cybersecurity standards, CSV, and organizational policies.
  • Manage vendors, contracts, and cross-functional resources supporting system implementations and enhancements.
  • Identify and mitigate risks, issues, and interdependencies with data-driven decision-making.

Business Process Improvement (BPI)

• • Analyze current-state processes across biomedical and IT domains; design measurable future-state improvements.
  • Facilitate process mapping, Lean/Six Sigma problem solving, and workflow optimization sessions.
  • Implement process controls and documentation aligned with regulatory and audit expectations.
  • Partner with QA/RA, lab, and business owners to ensure processes remain efficient and compliant.

Organizational Change Management (OCM)

• • Develop and execute OCM strategies for IT-led transformations, system deployments, and process redesigns.
  • Conduct stakeholder analysis, change impact assessments, and readiness evaluations.
  • Create communications, training, and adoption plans tailored to technical and scientific audiences.
  • Track adoption KPIs and adjust strategies to ensure sustained behavior and process change.

Stakeholder & Cross-Functional Collaboration

• • Serve as a strategic liaison across IT, research, lab operations, clinical, regulatory, supply chain, and leadership teams.
  • Facilitate workshops, requirements sessions, demos, and executive updates.
  • Drive alignment and ensure stakeholders understand impacts, timelines, and decisions.
  • Collaborate with cross-functional teams and vendors to deliver projects on time and within budget
  • Ensure system scalability, security, and adherence to best practices for enterprise architecture

Location

111 W. Oak Ave., Tampa, FL 

Benefits/Compensation

What you'll be doing

As our Senior Director for Business Development, you will have ownership over the following strategic domains:

Influence the go-to-market strategy: 

• Analyze & identify the optimal positioning to successfully deploy our science, models and products.

Develop Strategic Partnerships:

• Identify, negotiate, and manage strategic partnerships with key stakeholders in biopharma.

Revenue Growth and Target Achievement:

• Drive revenue growth by meeting or exceeding business development targets. Monitor and analyze sales performance metrics to inform strategic decisions.

Stakeholder Engagement:

• Actively promote Bioptimus at industry events, conferences, and through digital platforms.
• Develop & deliver compelling pitches and presentations to engage potential clients and partners.
• Maintain strong relationships with existing partners and stakeholders while continually expanding the company’s network.

Teamwork and Collaboration:

• Collaborate with cross-functional teams, including R&D, marketing, and product development, to ensure alignment of business strategies and goals.

What you'll bring

The successful candidate is a strategic thinker and a pragmatic builder, with a proven track record of scaling the business development function in a high-growth, technology-driven environment.

• Master Degree in Business or Science (or equivalent experience)
• Expert level in a relevant environment (selling to Pharma & Biotech) with a proven track record in terms of business impact
• Familiarity with AI models to accelerate early research, clinical development, trial optimization, biomarker discovery and diagnostics
• Understanding the biomedical ecosystem and the biomedical data lifecycle
• Understanding of SaaS / software business models
• Proven track record in meeting and exceeding aggressive sales targets
• Flexibility and creativity in solving complex customer problems
• In-depth knowledge and extensive network within large pharmaceutical R&D in the US/EU
• Excellent time management and record keeping skills
• Strong analytical, problem-solving, and decision-making capabilities
• Strong communication and interpersonal skills
• A ‘team-first’ kind of attitude
• Thrive in a dynamic, fast-paced environment
• Be fun to work with

How to stand out:

• You have previous experience in a high growth, VC backed company
• You have international and multicultural work experience
• You have a PhD in related field (e.g., Biology, Machine Learning, Artificial Intelligence)

The candidate journey

To be considered, please submit your CV in English.

We believe in a transparent and collaborative interview process. Here is what you can expect after submitting your application:

• Screening: Once you have applied, the hiring team will review your application. If your experience and skills align with the role, you will be invited to a 30-minute introductory call with the Hiring Manager to discuss your background, motivations, and the position in more detail.
• Interviews: Following a successful technical assessment, you will be invited to a series of interviews. The core stages of our process are outlined below. Please note that the order may be adapted and additional conversations may be included to ensure a comprehensive evaluation.

  • Live Case Study (1 hour): This stage may involve a live case study focused on technology, your sales experience, or a "Sell Bioptimus" exercise.

  • Tech / Product Oriented Interview (1 hour): This stage involves a discussion focused on the technical and product aspects of the role.

  • Tech Interview (30 min): Discuss our current technical setup and infrastructure with members of our Tech team responsible for the areas within this role's scope

  • Exec Interview: Meet with senior leadership to discuss your vision for the role and explore cultural alignment.

• Offer: Following the completion of all interviews, our hiring team will make a final decision and will be in touch to share the outcome. If the team would like to move forward, we will contact you to discuss the details of our proposed offer. Please note that an offer is contingent upon the successful completion of a reference check.

• Onboarding: We are happy to have you joining the team. Once you have accepted and signed your offer, we will be in touch to begin the process of onboarding you.

Why this is a unique opportunity

• A collaborative and mission-driven work environment.
• Competitive salary and equity package.
• Flexible work arrangements, including remote options.
• Opportunities for professional growth and leadership development.
• Shape the future of biology and AI by contributing to groundbreaking work.

In-Person Position

OXOS is searching for a Regulatory Systems Specialist to join our high-growth company. You will join a dynamic team of passionate people who work daily to change how radiographic diagnostics are delivered. The Regulatory Specialist will execute regulatory processes and manage requirements for innovative radiographic medical devices at OXOS with the aim of changing the way healthcare is delivered. They will ensure compliance with FDA and international regulations while supporting the company's growth objectives through effective regulatory strategy and implementation.

Responsibilities

As the Regulatory Systems Specialist, you will own the end-to-end execution of OXOS submissions and continuously expand the regulatory automation surface. Success in this role means upcoming submissions are generated at the rate of product development, regulatory strategy keeps pace with a rapidly changing landscape, and OXOS develops a durable, compounding advantage in the speed and quality of its regulatory work. Your duties will include, but are not limited to:

Drive Regulatory Strategy

• Develop and maintain comprehensive regulatory strategies for OXOS products in the U.S. and select international markets.
• Evaluate country-specific regulations, industry guidance, and testing requirements that impact product clearance and market access.
• Monitor and analyze regulatory changes in standards and FDA guidance, and assess their impact on OXOS products. Where possible, run this monitoring through AI agents that surface relevant changes for human review.
• Maintain a current view of predicate devices and the competitive regulatory landscape relevant to upcoming submissions.
• Review and approve marketing materials to ensure compliance with applicable guidances and cleared indications.

Own Regulatory Submissions

• Prepare and submit 510(k)s, Q-submissions, and Technical Files for the U.S. and select international markets, owning timelines and content quality end-to-end.
• Monitor and report on submission status; manage FDA correspondence and responses to Additional Information requests.
• Collaborate with strategy, project management, engineering, quality, and clinical teams to ensure submission inputs are timely, accurate, and traceable.
• Maintain efficient systems for regulatory records management.
• Establish and maintain effective, cordial, and professional relationships with regulators at the state and federal levels.

Co-Build Regulatory Automation Systems

• Partner with the AI team to identify the highest-leverage manual regulatory processes for automation, prioritizing those tied to upcoming submissions and active strategy work.
• Co-author agent prompts, skills, and structured templates that encode OXOS regulatory know-how (predicate research, section drafting, traceability matrices, change-impact analysis, response drafting, and more).
• Define and run evaluations that determine whether AI-generated regulatory artifacts are submission-grade — including rubrics, gold-standard examples, and defect taxonomies.
• Maintain a tight feedback loop from real submission work back into the automation system: every miss, edit, or correction becomes an improvement to the prompts, skills, or workflows.
• Operate agentic AI tools (e.g., Claude Code) as a daily-driver power user, directing them to draft, review, and refactor regulatory content under regulatory supervision.

Required Skills and Qualifications

• Bachelor’s Degree or higher in Biomedical Engineering, Life Sciences, Regulatory Affairs or related field. 
• Regulatory expertise. Deep working knowledge of 510(k), QMS (ISO 13485), IEC 60601, ISO 14971, and FDA Q-Sub processes, with the ability to recognize regulatory risk and identify bright lines on sight.
• Submission experience. Demonstrated involvement in 510(k), De Novo, or PMA submissions for medical devices, including direct interaction with FDA review teams.
• AI tool fluency. Power-user comfort with agentic AI tools (e.g., Claude Code, Cursor) to direct multi-step regulatory tasks, review generated artifacts and code, and iterate quickly without needing to write code from scratch.
• Systems thinking. Ability to see recurring manual work as a system to improve, decomposing regulatory workflows into discrete, automatable steps with clear inputs, outputs, and quality bars.
• Evaluation and judgment. Ability to assess when an AI-generated regulatory artifact meets the bar for submission, including designing evaluation criteria, building gold-standard examples, and treating defects as system-level signals.
• Attention to detail. Pedantic accuracy across lengthy, technical submission documents to avoid non-compliance, audit deficiencies, and errors inherited by downstream automation.
• Communication. Clear, precise written and verbal communication across regulators, engineering, clinical, quality, and AI teams, with the ability to adjust style without losing precision.
• Organization. Maintains regulatory materials as a single, authoritative source of truth in both human- and machine-readable form to support reliable automated workflows.
• Problem-solving. Solves regulatory problems creatively to unblock engineering rather than impede it.
• Teamwork. Collaborates deeply across all teams, with especially close partnership with the AI team to co-build regulatory automation.

Preferred Qualifications

• Hands-on experience preparing 510(k) submissions for Class II medical devices, particularly radiation-emitting or imaging devices regulated by CDRH.
• Working familiarity with IEC 62304 (medical device software lifecycle) and applicable software-as-a-medical-device guidance.
• Prior experience defining evaluation rubrics, prompt libraries, or structured templates for an AI-augmented workflow.
• Experience with international submissions (EU MDR Technical Files, Health Canada, or similar).

Benefits and Perks

• Health, Dental, and Vision Insurance
• Competitive pay and equity in the company
• 401(k)
• The opportunity to work with an innovative, early-stage company that is changing medical imaging as we know it  
• Endless opportunities for growth and development in a rapidly growing medical company

Salary Range: $100k to $120k

The Opportunity:

We are seeking an experienced drug developer and effective leader to serve as Executive Director of Clinical Development in support of Revolution Medicines’ clinical-stage molecule(s) and/or pre-clinical molecule(s). In this critical role, you will be responsible for developing the strategic plans and ensuring efficient operational execution of the molecule(s)’ clinical development program in one or more disease indications, from early-stage studies to regulatory submissions and potential commercialization. You will play a pivotal role in shaping the future of our pipeline and driving the development of transformative therapies for patients.

• Provide critical insights/contributions and implement comprehensive/execute upon the clinical development plans for Revolution Medicines’ molecules, ensuring alignment with scientific, regulatory, and commercial objectives.

• Lead, mentor, and manage a high-performing cross-functional team of clinical development professionals, fostering a culture of collaboration, innovation, and excellence.

• Oversee all aspects of clinical trial design and execution, including site selection, patient recruitment, data management, and regulatory compliance.

• Establish and maintain strong relationships with clinical investigators, regulatory agencies, and key stakeholders.

• Gather, analyze and interpret clinical data, providing strategic insights to inform critical decisions and guide program development.

• Manage clinical development timelines effectively, ensuring efficient resource allocation and achievement of milestones.

• Stay abreast of the latest scientific advancements and regulatory trends in the field of clinical development.

• Partner with cross-functional teams, including research, regulatory affairs, commercial, and finance, to ensure seamless program execution and achieve shared goals.

• Manage multiple direct reports; potentially be a manager of managers.

Required Skills, Experience and Education:

• MD, PhD or similar advanced biomedical graduate degree with 13+ or more years experience in pharmaceutical/biotech industry or academic background at the level of Associate Professor or higher.

• Extensive experience working with the principles and techniques of data analysis, interpretation, and clinical relevance as related to the pharmaceutical/biotech industry.

• Proven track record of successfully designing and conducting multiple clinical trials as part of a wider clinical development programs from early-stage to late-stage, direct experience with Phase 1 drug development.

• Experience authoring and clinical development strategy(ies) and bringing forward for governance.

• Extensive understanding of medical aspects of GCP (Good Clinical Practice), ICH (International Conference on Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use), FDA, EMA, and other relevant guidelines and regulations.

• Proven experience to steer an IMP during its clinical development plan through major and varied Health Authority interactions (e.g. FDA, EMA, others). Has led Health Authority interaction(s).

• Strong orientation to teamwork. Excellent leadership, communication, and interpersonal skills, with the ability to inspire, motivate and mentor a diverse team.

• Expertise in building and maintaining strong relationships with internal and external stakeholders.

• Superb strategic thinking and analytical skills, with the ability to make data-driven decisions in a fast-paced environment. Able to recognize trade-off decisions and can determine priorities and goals.

• Outstanding written and business presentation skills. Experience publishing results of a clinical trial in a peer-reviewed journal is required.

• Proven ability to manage budgets and timelines effectively.

• Passion for innovation and a commitment to developing therapies that make a meaningful difference in patients' lives.

Preferred skills:

• Experience in ongoing enhancements/development of core and sub-team processes, structures, systems, tools and other resources in the pharmaceutical/biotech industry.

• Experience creating clinical development strategy(ies) that led to label-enabling outcomes and commercialization.

• Experience submitting an NDA/BLA/MAA to global health authorities is a significant plus.

• Has led regulatory and other internal partners/stakeholders in the completion and submission of regulatory documentation. Successfully provided clinical science information and input for regulatory development of label(s) and packaging language, etc.

• Has led or overseen data generation to address unmet medical needs and identify new or extended Clinical Development studies for the assigned program or other programs.

• Direct experience with Phase IV drug development.

• Has proven abilities to present [a] compelling business case and facilitates effective and expeditious decision-making. Has demonstrated the ability to serve as a company spokesperson both internally and externally.

• Has demonstrated collaborate behaviors on enterprise-level strategic initiatives with a variety of internal and external partners and stakeholders - including clinical investigators/clinicians, scientists and key opinion leaders (KOLs), as well as internal groups, including other groups in development, research, business development, commercial, legal, etc. - resulting in demonstrable outcomes (e.g. new study proposals or new disease indications).

• Has demonstrated courage and conviction in past positions and responsibilities. Skilled in conflict resolution.  

  #LI-Hybrid  #LI-GL1

About Graphcore

At Graphcore, we’re building the future of AI compute.We’re a team of semiconductor, software and AI experts, with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale.As part of the SoftBank Group, backed by significant long-term investment, we are delivering key technology into the fast-growing SoftBank AI ecosystem.To meet the vast and exciting AI opportunity, Graphcore is expanding its teams around the world.We are bringing together the brightest minds to solve the toughest problems, in a place where everyone has the opportunity to make an impact on the company, our products and the future of artificial intelligence.

Job Summary

As a researcher at Graphcore, you will contribute to the advancement of AI research, investigating new ideas that push the limits on important AI/ML problems. Specialised hardware has been the key driver of the progress of AI over the last decade, and we believe that hardware-aware AI algorithms and AI-aware hardware developments will continue to be critical to advancing this exciting field. As such, we’re looking for candidates who are keen scientists and engineers, with the theoretical and practical skills needed for impactful AI research.

We are looking for researchers with experience of AI in low-power, edge and embodied scenarios such as robotics, autonomous driving and augmented/virtual reality. We are interested in the training and deployment of multimodal AI models in these contexts, covering areas such as world models, real-time computer vision, generating and reasoning over audio/video streams.

The Team

Graphcore Research participates in both fundamental and applied research, to characterise the computational requirements of machine intelligence and to demonstrate how hardware can drive the next generation of innovative AI models. We publish at leading AI/ML conferences (NeurIPS, ICML, ICLR) as well as specialist workshops, and collaborate with other research teams and organisations across the world.

We pride ourselves on being a supportive and collaborative team, where we organise around our individual research interests to solve problems together in domains such as efficient compute, model scaling and distributed training and inference of AI models for multiple modalities and applications, including for sequence- and graph-based data. We’re based across London, Cambridge and Bristol, with projects and discussions that involve all our locations.

Perhaps the best way to get an idea of what we’re all about is to read one of our papers or an article on our blog. If you’re excited to work at the cutting edge of AI supported by new hardware and want to develop your skills in this area, we’d love to hear from you!

Responsibilities and Duties

• Generate AI/ML ideas, design experiments, implement them & evaluate results.
• Prepare, submit & present your work to AI conferences and workshops.
• Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and test Graphcore’s next generation of AI hardware.

About you:

Essential:

• Master’s, PhD or equivalent experience in a technical discipline (e.g., Maths, Statistics, Computer Science, Physics, Chemistry, Biomedical Engineering).
• Experience in embodied AI, world models or robotics.
• Python programming in a modern deep learning framework, e.g. PyTorch or JAX.
• Familiar with deep learning fundamentals: models, optimisation, evaluation and scaling.
• Capable of designing, executing and reporting from ML experiments.
• Mathematics skills to support the above: calculus, probability theory and linear algebra.
• Experience submitting papers to international scientific conferences or workshops.

Desirable:

• Lower-level programming for hardware efficiency, e.g. C++/CUDA/Triton.
• Practical familiarity with hardware capabilities for deep learning – threads, caches, vector & matrix engines, data dependencies, bus widths and throttling.
• Practical familiarity with software stacks for deep learning – compilation, kernel fusion, XLA/ATen ops, streams, and asynchronous execution.
• Conference or workshop submissions in the fields of embodied AI, world models, or robotics.

Benefits

In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.

Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications

Who We Are

PathAI's mission is to improve patient outcomes with AI-powered pathology. Our platform promises substantial improvements to the accuracy of diagnosis and the efficacy of treatment of diseases like cancer, leveraging modern approaches in machine learning and artificial intelligence. We have a track record of success in deploying AI algorithms for histopathology in translational research, pathology labs and clinical trials.  Rigorous science and careful analysis is critical to the success of everything we do. Our team, composed of diverse employees with a wide range of backgrounds and experiences, is passionate about solving challenging problems and making a huge impact on patient outcomes.

Where You Fit 

Our Intern/Co-op program is designed to give you a real-world view of what it's like to be a Machine Learning Engineer at PathAI. You will be embedded directly into our AI product and ML Core teams, working on active projects that have a direct impact on our technical roadmap and business goals.

You will collaborate with a cross-functional team of scientists, engineers, and product managers to translate clinical needs into scalable ML solutions. This is your chance to contribute to meaningful work that directly relates to patient outcomes.

Timeline: This opportunity is for Fall 2026. We are looking for interns/co-ops who can commit to 3-6 months at PathAI (4-6 months preferred).

Location: We have offices in Boston, MA and New York, NY and would prefer interns/co-ops who can work from one of those locations—however, we will also consider remote candidates (US based only).

What You’ll Do

• Contribute to the design, development, and evaluation of machine learning models for our AI products, AI services and core ML models.
• Work on subprojects derived from our ongoing ML product roadmap, focusing on areas like model improvements with novel techniques.
• Partner with our MLOps and platform teams to help build and improve our ML pipelines.
• Participate in experimental design, analysis, and team knowledge-sharing initiatives like design reviews, technical forums and journal clubs.

What You Bring 

• Currently pursuing a M.S., or Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering with a focus on Computer Vision and Machine Learning.
• Strong programming skills in Python and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow).
• A solid grasp of the fundamentals of machine learning and/or computer vision.
• Excellent communication skills and a desire to work in a highly collaborative, cross-functional environment.
• A passion for our mission to improve patient outcomes.
• [Nice-to-have] Any high impact contributions through any AI/ML publications, open-source projects and any AI based products.

We are looking for team players who are passionate about what they do and are willing to tackle any task to contribute to our goals. You could be exactly who we are looking for!

We Want To Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 
PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.  

BillionToOne is seeking a Senior Scientist, Real-World Evidence, Oncology to help unlock insights from our rapidly growing dataset of genomic profiles and real-world clinical data.

This role sits at the intersection of AI, genomics, oncology research, and clinical data science. The scientist will develop models and analytical approaches that transform genomic and clinical data into actionable insights for research, clinical decision support, and future data-driven products. The role will also build AI tools that support internal scientific operations—such as literature discovery, variant interpretation, and clinical trial or guideline tracking—while helping lay the foundation for future real-world data products leveraging BillionToOne’s unique genomics and clinical dataset for pharmaceutical and research partners.

A unique aspect of this role is the opportunity to work with BillionToOne’s proprietary dataset, combining genomic sequencing results from our Northstar oncology platform with real-world medical records. Leveraging this rich dataset, the scientist will generate clinically meaningful insights and real-world evidence (RWE) to improve treatment decisions and advance precision oncology. This role will report to the Chief Product Officer.

Responsibilities:

• Leverage BillionToOne’s integrated datasets of Northstar genomic sequencing results and real-world clinical data from patients we serve to generate clinically meaningful insights and real-world evidence (RWE).
• Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes, supporting internal research and improving how genomic test results inform clinical decision-making.
• Develop AI-powered tools that enhance the clinical utility of BillionToOne’s diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results to assist oncologists in making more personalized treatment decisions.

Qualifications:

• PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field is required.
• Deep understanding of genomic data, oncology biology, and clinical medical data.
• Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets.
• Strong programming and data science skills (Python and modern ML frameworks).
• Experience working with real-world clinical datasets (EHR, clinical records, registries, or similar).
• Ability to analyze and integrate multimodal biomedical datasets, including genomics, clinical data, and biomedical literature.
• Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups.

Experience:

• Experience working with oncology real-world datasets.
• Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction.
• Experience integrating genomic sequencing data with clinical outcomes data.
• Track record of research publications or applied AI systems in healthcare or life sciences.

Benefits And Perks:

• Working with a team of ‘rockstars’ who bring out the best in everyone
• Open, transparent culture that includes weekly Town Hall meetings
• The ability to indirectly or directly change the lives of hundreds of thousand patients
• Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80%
• Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
• Retirement savings program including a 4% Company match
• Free daily on-site lunches provided from top eateries
• Latest and greatest hardware (laptop, lab equipment, facilities)
• A variety of perks on campus (state of the art gym, restaurant)
• Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of $251,855 per year, including a base pay range of $139,340 - $160,777 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

BillionToOne is seeking a Senior Scientist, Real-World Evidence, Oncology to help unlock insights from our rapidly growing dataset of genomic profiles and real-world clinical data.

This role sits at the intersection of AI, genomics, oncology research, and clinical data science. The scientist will develop models and analytical approaches that transform genomic and clinical data into actionable insights for research, clinical decision support, and future data-driven products. The role will also build AI tools that support internal scientific operations—such as literature discovery, variant interpretation, and clinical trial or guideline tracking—while helping lay the foundation for future real-world data products leveraging BillionToOne’s unique genomics and clinical dataset for pharmaceutical and research partners.

A unique aspect of this role is the opportunity to work with BillionToOne’s proprietary dataset, combining genomic sequencing results from our Northstar oncology platform with real-world medical records. Leveraging this rich dataset, the scientist will generate clinically meaningful insights and real-world evidence (RWE) to improve treatment decisions and advance precision oncology. This role will report to the Chief Product Officer.

Responsibilities:

• Leverage BillionToOne’s integrated datasets of Northstar genomic sequencing results and real-world clinical data from patients we serve to generate clinically meaningful insights and real-world evidence (RWE).
• Develop AI and machine learning approaches that uncover patterns across genomic alterations, treatment histories, and patient outcomes, supporting internal research and improving how genomic test results inform clinical decision-making.
• Develop AI-powered tools that enhance the clinical utility of BillionToOne’s diagnostics, including systems that surface relevant medical records, literature evidence, clinical trials, and guideline information alongside Northstar test results to assist oncologists in making more personalized treatment decisions.

Qualifications:

• PhD in biology, biomedical sciences, medicine, computational biology, biomedical informatics, or a related field is required.
• Deep understanding of genomic data, oncology biology, and clinical medical data.
• Experience applying AI, machine learning, or advanced analytics to biomedical or healthcare datasets.
• Strong programming and data science skills (Python and modern ML frameworks).
• Experience working with real-world clinical datasets (EHR, clinical records, registries, or similar).
• Ability to analyze and integrate multimodal biomedical datasets, including genomics, clinical data, and biomedical literature.
• Strong problem-solving skills and ability to collaborate across interdisciplinary teams, including clinical, bioinformatics, and product groups.

Experience:

• Experience working with oncology real-world datasets.
• Experience applying large language models (LLMs) or retrieval-based AI systems to biomedical knowledge extraction.
• Experience integrating genomic sequencing data with clinical outcomes data.
• Track record of research publications or applied AI systems in healthcare or life sciences.

Benefits And Perks:

• Working with a team of ‘rockstars’ who bring out the best in everyone
• Open, transparent culture that includes weekly Town Hall meetings
• The ability to indirectly or directly change the lives of hundreds of thousand patients
• Multiple medical benefit options; employee premiums paid 100% of select plans, dependents covered at 80%
• Extremely generous Family Bonding Leave for new parents (16 weeks, paid at 100%)
• Retirement savings program including a 4% Company match
• Free daily on-site lunches provided from top eateries
• Latest and greatest hardware (laptop, lab equipment, facilities)
• A variety of perks on campus (state of the art gym, restaurant)
• Free on-site EV charging (compatible with all EVs, including Tesla)

At BillionToOne, we are proud to offer a combination of a (1) base pay range (actual amount offered is based on experience and salary/equity options split that the candidate chooses), (2) generous equity options offering, (3) corporate bonus program, on top of (4) industry leading company benefits (free healthcare options, 401k match, very generous fully paid parental leave, etc.).

For this position, we offer a total compensation package of $251,855 per year, including a base pay range of $139,340 - $160,777 per year.

BillionToOne is an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

AI in Residence

AI in Residence is a highly selective role at the intersection of frontier machine learning and drug discovery. Designed as an industry alternative to a traditional postdoctoral position, the program is for exceptional researchers and engineers who want to apply advanced AI to real biomedical problems end to end, from data to deployed systems.

Residents join a small cohort working on high-impact AI efforts across Xaira. You’ll collaborate closely with AI scientists, research engineers, and drug discovery teams to design, build, and ship machine learning capabilities that directly influence therapeutic programs. This is hands-on, system-level work with real scientific consequence.

We’re looking for candidates with technical depth, intellectual independence, strong research judgment, and evidence of delivering high-quality work—whether through publications, open-source, or production systems.

What You’ll Do

• Develop and advance ML models for biological, preclinical, and translational datasets (e.g., multimodal omics, imaging, text, assay data)
• Design and implement scalable pipelines for data curation, training, evaluation, and inference integrated into discovery workflows
• Own projects end-to-end: problem framing → prototyping → validation → deployment
• Evaluate robustness and reliability (generalization, uncertainty, failure modes), plus interpretability where it supports scientific decision-making
• Contribute technical leadership by proposing new directions, shaping platform capabilities, and raising engineering/research standards through collaboration
  
  

You Might Work On

Examples include (not limited to):

• Foundation / representation models over multimodal biological and translational data
• Methods for small, biased, noisy datasets; distribution shift; and uncertainty estimation
• ML systems for experimental prioritization, assay interpretation, or translational signal discovery
• Evaluation frameworks and benchmarks tailored to discovery decision-making
• Tooling that makes models usable by scientists (interfaces, automation, monitoring)
  
  

What Success Looks Like

• You ship one or more models or pipelines that are used in real discovery workflows
• Your work improves decision quality (e.g., better prioritization, faster iteration, clearer uncertainty)
• You raise the bar on evaluation rigor and reproducibility (strong baselines, error analysis, reliable metrics)
• You leave behind maintainable systems (tests, documentation, monitoring) that others can build on
  
  

We Value

• Strong research judgment: choosing the right problems and knowing what “good evidence” looks like
• Rigor: careful experimental design, ablations, error analysis, and honest reporting
• Systems thinking: reliability, scalability, and maintainability—not just prototypes
  Clear communication: writing, documentation, and sharing decisions/assumptions
• Collaborative execution with scientific and engineering partners
  
  

Program Structure

Duration
6–12 months, with the possibility of extension or conversion to full-time

Start Dates
First hires beginning March 2026, with rolling applications and additional intakes in Summer and Fall 2026

Cohort Size
Small, highly selective cohort to enable meaningful ownership and close collaboration

Mentorship & Support
Dedicated technical mentor, plus structured feedback from senior AI, engineering, and scientific leadership

Publications & Presentations
We value scientific contribution and may support publications and conference presentations when appropriate. Publication scope and timing depend on project needs and are subject to internal review (e.g., IP and confidentiality). Authorship follows standard contribution-based guidelines.

Who Should Apply

We encourage applications from candidates who meet most of the following:

• Recent MS or PhD graduates (or equivalent research experience) in ML/AI, computational biology, biomedical engineering, or related fields
• Evidence of research excellence through high-quality publications or artifacts. Top venues (e.g., NeurIPS, ICML, ICLR, CVPR, ACL; Nature Methods, Cell Systems) are a plus, but strong preprints, open-source contributions, or shipped systems with demonstrated impact are equally compelling
• Demonstrated ability to lead substantial technical work with originality—new modeling ideas, rigorous experiments, or production-grade systems adopted by others
• Motivation to translate rigorous research into reliable, deployable AI systems that support therapeutic discovery
  
  

Please include a brief cover letter describing your interest in this role, why you’re excited about this area, and what you hope to gain from the experience.

Compensation:

The expected monthly compensation range is $10,000–$15,000, depending on experience and qualifications. We are open to higher compensation for candidates with exceptional experience or impact.

About the Role
We are looking for an AI Scientist to join our team at the intersection of machine learning and single-cell biology. This role will focus on developing and applying foundation models to large-scale perturb-seq and single-cell datasets to uncover new biological mechanisms and therapeutic opportunities. You will help design scalable ML architectures that can extract insight from high-dimensional perturbation data and integrate across multi-omic modalities.

Key Responsibilities

• Design, train, and refine foundation models tailored to perturb-seq and other single-cell datasets.
  Build pipelines for preprocessing, normalization, and integration of large-scale single-cell and perturbation data.
• Apply ML/AI approaches to model cellular responses to perturbations and identify causal biological insights.
• Collaborate with experimental biologists to align computational methods with experimental design and discovery goals.
• Develop multimodal integration approaches across transcriptomic, epigenomic, and proteomic single-cell readouts.
• Publish methods and results in top scientific journals and present at conferences.
  
  

Qualifications

• PhD or equivalent in Computational Biology, Computer Science, Bioinformatics, or related discipline.
• Strong expertise in single-cell data analysis, particularly perturb-seq 
• Hands-on experience with foundation models or large-scale self-supervised learning (e.g., transformers, variational autoencoders).
• Strong coding skills in Python, ML frameworks (PyTorch/TensorFlow), and single-cell analysis tools (Scanpy, Seurat).
• Experience in developing scalable ML methods for large biological datasets.
  
  

Preferred

• Background in causal inference, generative models, or representation learning for biological systems.
• Familiarity with multi-omics integration and cross-modal foundation models.
• Track record of impactful publications in computational biology, machine learning, or related fields.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $150,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

• Develop multimodal foundation models spanning image and molecular data
• Design approaches that unify representation learning and generative modeling
• Train large-scale models on structured, high-dimensional datasets
• Explore cross-modal alignment, prediction, and generation
• Build scalable systems for data processing, training, and evaluation
• Work in a research-driven environment with evolving problem definitions

• Experience with representation learning (self-supervised, contrastive, masked modeling, etc.)
• Experience with generative modeling (diffusion, autoregressive models, VAEs, or related approaches)
• Proficiency in Python, ML frameworks, and CI/CD (PyTorch, JAX, etc.)

• Work on multimodal learning or cross-domain representation learning
• Experience with image data, molecular / omics-like data, or both
• Familiarity with large-scale training

• Exposure to biological or scientific datasets
• Experience with paired or partially aligned multimodal data
• Comfortable working in open-ended, evolving problem spaces

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $170,000 - $240,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking a Biomedical AI Engineer to design and deploy agentic AI systems that can reason over biomedical knowledge, plan multi-step analyses, and autonomously integrate diverse scientific data sources to accelerate therapeutic discovery.

This role goes beyond traditional LLM + RAG pipelines. You will build AI agents that can retrieve, synthesize, evaluate, and act on biomedical information across literature, omics datasets, and clinical records operating as intelligent systems embedded within discovery workflows.

Key Responsibilities

• Design and implement agentic AI architectures capable of multi-step reasoning, planning, and tool use in biomedical contexts.
• Develop LLM-based agents that dynamically retrieve, rank, and synthesize knowledge from scientific literature, knowledge graphs, omics datasets, and clinical data.
• Build memory and feedback mechanisms that allow agents to refine hypotheses, update context, and adapt to evolving data.
• Integrate external tools (analysis pipelines, simulation engines, statistical models, databases) into autonomous agent workflows.
• Architect scalable systems that combine structured and unstructured biomedical data within production-grade AI environments.
• Collaborate closely with computational biologists, translational scientists, and software engineers to embed agentic systems into real-world discovery pipelines.
• Evaluate robustness, reliability, and interpretability of autonomous systems in high-stakes biomedical settings.

Qualifications

• Degree in Computer Science, Machine Learning, Computational Biology, Biomedical Informatics, or related field.
• Strong hands-on experience with large language models, including fine-tuning, alignment, and structured prompting.
• Experience building agent-based systems or complex LLM orchestration frameworks (e.g., multi-agent systems, tool-using LLMs, planning modules).
• Proficiency in Python and modern ML frameworks (PyTorch, JAX, TensorFlow).
• Experience working with large-scale biomedical datasets (genomics, transcriptomics, clinical records, or scientific corpora).

Preferred

• Experience designing autonomous research assistants or AI systems that perform multi-step scientific reasoning.
• Familiarity with knowledge graphs, hybrid symbolic-neural systems, or multimodal foundation models.
• Understanding of privacy, security, and regulatory considerations in healthcare AI.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $190,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role
We are seeking a scientific leader to serve as our Director of Biomarkers and Experimental Medicine. This role will create and execute biomarker strategies across discovery and early development, grounded in human biology and designed to scale from target-agnostic disease understanding through program-specific development. You will work closely with Biomedical AI to use multi-modal human data to identify biomarker signals, define patient hypotheses, and establish biomarkers that guide indication choices, patient selection, and proof-of-biology.

A core part of the role is building biomarker capability before programs fully crystallize. This includes defining disease-state and patient stratification frameworks, developing assay and data standards, and creating a biomarker toolkit that can be applied as targets emerge.

Key Responsibilities

• Help create and execute strategies and incorporate human patient data to build AI models for patient stratification, target validation and biomarker discovery, in conjunction with a cross-functional team of experts including Biomedical AI
• Establish a target-agnostic biomarker strategy that defines disease biology, patient subgroups, and measurable signals of disease state, progression, and response potential, even before a specific therapeutic target is selected.
• Define biomarker hypotheses and evidence plans that connect human biology to program direction, including how biomarkers will influence indication strategy, cohort definitions, and clinical readiness.
• Work closely with Biomedical AI/ML to translate biomarker questions into ML-ready problem definitions, including cohort definitions, endpoints, labels, success criteria, and validation expectations.
• Identify and prioritize AI/ML model outputs needed for biomarker work, including patient segmentation, biomarker signal models, multi-modal integration, and response or outcome prediction where appropriate.
• Lead assay strategy and readiness planning, including platform choices, fit-for-purpose validation, sample strategy, and decision points that allow teams to act on biomarker results.
• Create standards for biomarker and model quality, reproducibility, and documentation so outputs are decision-grade and usable across programs.
• Build biomarker data assets and workflows that scale, including reference cohorts, baseline datasets, and repeatable analyses that can be reused as targets and indications evolve.
• Drive cross-functional alignment so biomarker insights consistently inform discovery priorities, program selection, and early development planning.
• Establish and manage an external network of biomarker experts, clinical and translational advisors, and key opinion leaders to pressure-test strategy and strengthen clinical relevance.

Qualifications

• PhD, MD, or MD/PhD with 8+ years of experience in biomarkers, translational science, or human biology within biotech or pharma.
• Deep expertise in biomarker discovery and development, including experience defining biomarker strategies that support program decisions and differentiation.
• Strong experience with human data and multi-modal biology, including genetics and omics, and comfort operating when targets and programs are still being defined.
• Demonstrated ability to work closely with AI/ML teams and translate biomarker questions into ML-ready problem definitions and model development plans.
• Track record of building biomarker capabilities and standards in early-stage environments, including assay readiness, evidence planning, and cross-functional execution.
• Excellent communication and scientific judgment, with the ability to drive clear decisions from complex data, and work collaborative in multidisciplinary teams.

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $196,000 - $245,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

About the Role

The Senior Director, Project Management, will lead cross-functional execution of the company’s most complex scientific and platform initiatives, ensuring work across biology, computational science, protein design, and engineering teams progresses with clarity, alignment, and momentum.Working closely with scientific and technical leadership, this individual translates strategic priorities into well-structured projects with clear scope, milestones, ownership, and dependencies. The role requires strong project management discipline combined with a product lens, helping teams prioritize work based on impact, define clear outcomes, and focus effort on the highest-value initiatives.Operating at the center of scientific, technical, and organizational execution, this leader brings structure to complex work while enabling teams to move quickly in a discovery-driven environment.

Key Responsibilities
Project Leadership

• Lead planning and execution of complex, cross-functional projects spanning research, computational science, protein design, and engineering teams
• Translate strategic priorities into clearly structured projects with defined scope, timelines, ownership, and success criteria
• Apply a product lens to project leadership, ensuring initiatives are prioritized based on impact, feasibility, and organizational goals
• Partner with scientific and technical leaders to define clear outcomes and success criteria rather than activity-based workstreams
• Manage scope intentionally, balancing scientific exploration with disciplined execution
• Identify risks early and implement mitigation strategies to maintain project momentum

Strategic Execution Partnership

• Partner with scientific and technical leadership to translate organizational priorities into executable project plans
• Help shape the sequencing of major initiatives to ensure resources are focused on the highest-impact work
• Provide leadership with clear visibility into progress, dependencies, and emerging execution risks across projects
• Frame execution progress, tradeoffs, and emerging risks in ways that enable leadership to make timely and informed decisions

Cross-Functional Alignment

• Align stakeholders across biology, computational science, protein design, and engineering teams around shared priorities and sequencing of work
• Coordinate interdependent projects across research and platform teams, ensuring work is sequenced appropriately and dependencies are clearly understood
• Identify points where progress in one initiative enables or constrains work in another, helping teams adjust plans accordingly
• Resolve cross-team bottlenecks and maintain forward momentum across projects

Project Operating Model

• Establish consistent project planning, tracking, and reporting practices across teams
• Introduce planning frameworks and decision rhythms that improve transparency and coordination
• Evaluate, select, and harmonize project management tools and platforms across the organization, ensuring teams operate with a consistent and scalable PM infrastructure
• Strengthen the organization’s ability to execute complex scientific and technical initiatives predictably

AI-Enabled Project Management

• Champion the integration of AI tools and workflows into project management practices, identifying opportunities to improve planning, tracking, risk identification, and reporting through intelligent automation
• Stay current on emerging AI capabilities relevant to PM operations and serve as an internal advocate for thoughtful, effective adoption across teams
• Partner with computational and engineering teams to ensure AI-driven initiatives are managed with appropriate rigor while leveraging AI to enhance the PM function itself

Team Leadership

• Build and develop a high-performing project management team as the organization grows
• Establish expectations for rigor, clarity, and accountability in project execution
• Mentor project managers to operate as strategic partners to scientific and technical leaders
• Define team structure, hiring priorities, and development pathways that scale with organizational growth
• Foster a culture of continuous improvement within the PM team, regularly evaluating and refining how the team operates

Core Capabilities

• Complex Project Execution - Demonstrated ability to lead large, cross-functional projects involving multiple stakeholders, dependencies, and evolving scientific priorities.
• Product-Oriented Thinking - Ability to approach project leadership with a product mindset—prioritizing work based on impact, defining clear outcomes, managing scope intentionally, and ensuring initiatives deliver meaningful value.
• Cross-Functional Leadership - Proven ability to align scientific, technical, and operational teams around shared priorities and drive execution through influence.
• Structured Planning and Risk Management - Strong capability in dependency mapping, risk identification, mitigation planning, and maintaining forward progress in complex environments.
• Executive Communication and Decision Framing - Ability to synthesize complex scientific and technical work into clear updates, priorities, and tradeoffs that support effective leadership decision-making.

Qualifications

• Bachelor’s degree required; advanced degree preferred (MBA, MS, PhD, or equivalent)
• 10+ years of experience leading complex cross-functional projects in biotech, TechBio, or similarly interdisciplinary environments where computational and experimental research intersect.
• Strong understanding of AI/ML-enabled biological research, with experience partnering closely with computational biology, protein design, biomedical AI, or research engineering teams.
• Experience working closely with scientific and engineering teams in research or platform settings
• Deep understanding of drug development processes, including preclinical through early clinical stages, with the ability to connect research and platform initiatives to the broader development continuum
• Demonstrated ability to bring structure and clarity to complex initiatives in fast-moving organizations
• Strong organizational, communication, and stakeholder alignment skills
• Proven ability to influence highly skilled teams without relying on formal authority
• Experience managing and developing high-performing teams

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity.  The base pay range for this position is expected to be $225,000 - $285,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Role Overview
The Senior Director, Supply Chain and Strategic Sourcing will lead and integrate Xaira’s supply chain, procurement, and contract governance functions, ensuring reliable access to the external partners, platforms, and services that support Research, Biomedical AI, Platform Engineering, and Corporate teams.

This role is responsible for establishing disciplined sourcing strategy, strengthening vendor management, building contract governance infrastructure, and ensuring operational continuity across critical suppliers and service providers. The individual will provide strategic oversight while elevating two existing functions, procurement and contracts, into a cohesive, scalable supply chain capability.

Operating at the intersection of research, technology infrastructure, and external partnerships, This role is responsible for bringing strategic focus to how Xaira engages its external partners, ensuring that sourcing, vendor, and contract decisions serve the company's mission, growth, and long-term goals

Key Responsibilities

Supply Chain Leadership

• Develop and lead overall supply chain strategy
• Ensure continuity, reliability, and risk mitigation across critical vendors and external partners
• Oversee vendor selection, onboarding, performance monitoring, and renewal planning
• Provide leadership with visibility into external dependencies and operational risk exposure
• Map and monitor critical vendor dependencies across research services, cloud infrastructure, data providers, and platform suppliers

Strategic Sourcing

• Guide category strategy development across cloud infrastructure, AI/ML platforms, research services, data providers, lab suppliers, and corporate systems
• Oversee competitive sourcing processes and major vendor negotiations
• Ensure cost discipline and long-term value across supplier relationships
• Partner with Finance to strengthen forecasting, budget alignment, and spend transparency

Contracts and Governance

• Oversee contract negotiation and execution standards across MSAs, SOWs, SaaS agreements, data licenses, and research vendor agreements.
• Ensure structured intake, review, and lifecycle management processes are followed
• Establish clear governance for renewals, amendments, and contractual obligations
• Strengthen coordination between Legal, Finance, and operational stakeholders
• Build contract architecture that gives Legal and leadership a strategic view of risk

Leadership

• Lead and develop procurement and contracts team members
• Establish performance expectations, KPIs, and operating cadence
• Build scalable systems and processes appropriate for company growth
• Elevate supply chain operations from reactive processing to a strategic operational partner

Core Capabilities

• Supply Chain Integration and Operational Continuity
  Ability to ensure reliable supply and vendor performance across research services, cloud infrastructure, laboratory suppliers, and external partners while identifying and mitigating operational risks before they impact the organization.
• Advanced Strategic Sourcing and Negotiation
  Demonstrated ability to structure and lead complex negotiations across cloud infrastructure, software platforms, research services, and vendor agreements while balancing cost, flexibility, speed, and long-term value.
• Contract Architecture and Governance Design
  Ability to design and implement structured contract frameworks, approval workflows, and lifecycle management processes that create visibility, enforce standards, and reduce legal and financial exposure.
• Financial Stewardship and Vendor Risk Management
  Strong analytical capability to model vendor spend, forecast commitments, evaluate total cost of ownership, and proactively surface financial and operational risk.
• Cross-Functional Partnership and Organizational Influence
  Ability to align Legal, Finance, Research, and Engineering stakeholders around sourcing strategy, vendor commitments, and contractual decisions while balancing operational needs and risk management.

Qualifications

• 10+ years of experience in supply chain, procurement, or strategic sourcing leadership
• Experience operating in biotech, life sciences, or technology-driven R&D environments
• Demonstrated experience managing vendor ecosystems spanning cloud infrastructure, SaaS platforms, research services, or technical R&D environments
• Prior responsibility for leading both sourcing and contract management functions
• Proven ability to build structure and operational discipline in growth-stage organizations
• Strong financial acumen, vendor risk management capability, and negotiation experience

Compensation

We offer a competitive compensation and benefits package, seeking to provide an open, flexible, and friendly work environment to empower employees and provide them with a platform to develop their long-term careers. A Summary of Benefits is available for all applicants. We offer a competitive package that includes base salary, bonus, and equity. The base pay range for this position is expected to be $215,000 - $280,000 annually; however, the base pay offered may vary depending on the market, job-related knowledge, skills and capabilities, and experience.

Xaira Therapeutics an equal-opportunity employer. We believe that our strength is in our differences. Our goal to build a diverse and inclusive team began on day one, and it will never end.

TO ALL RECRUITMENT AGENCIES: Xaira Therapeutics does not accept agency resumes. Please do not forward resumes to our jobs alias or employees. Xaira Therapeutics is not responsible for any fees related to unsolicited resumes.

Position Overview

The Project Manager, Medical Affairs at Adaptive Biotechnologies plays a central role to support product development and commercialization through Medical Affairs-led initiatives, reporting to the Director of Medical Affairs. We are looking for a strategic and results-driven individual who thrives in a fast-paced, collaborative environment. The successful candidate will work cross-functionally to lead and support key projects and initiatives. Projects, including Adaptive-sponsored and Investigator-sponsored research studies, are expected to be scoped comprehensively, completed on time, on budget, to meet the desired goals of the business, with an emphasis on data generation. The role will work independently to plan, direct, track, and coordinate research activities from inception to operationalization.

Key Responsibilities and Essential Functions

• Project Lifecycle Management
  • Lead internal research projects from initiation through completion, including scope definition, planning, execution, and documentation.
  • Track external collaborative research projects to develop and maintain study workflows, assess progress, proactively manage risks, and support timely data availability for analysis, publication and presentation at key congresses.
  • Ensure alignment on project goals, rationale, and roles & responsibilities with stakeholders and leadership.
  • Develop and maintain project charters, timelines and work plans, driving accountability across the team.
  • Facilitate clear communication across project teams, internal partners, functional leaders, and external collaborators.
  • Identify and manage risks and issues, proactively communicating and adjusting plans as needed.
  • Partner with other Program and Project Managers across Adaptive to support infrastructure for project management, prioritization, communication, and institutional knowledge sharing.
  • Participate in cross-functional initiatives as a contributing team member.
• Analysis, Metrics & Reporting
  • Perform / support analysis to inform business case and resource allocation
  • Define metrics for project success and determine how to measure
  • Provide regular reporting on project status to manager and project team, highlighting key risks, issues, and milestones.
• Strategic Planning for Clinical Study Data Generation
  • Contribute to the development and execution of research studies that support MRD product and commercial strategy
  • Clinical study execution support: Track protocol development, contracting, study start-up, and coordinate cross-functional operational workflows (Regulatory/IRB, Clinical Trials, lab teams).
  • IRB protocol coordination: Facilitate IRB protocol submissions and related materials; track IRB protocol progress, approvals, and renewal dates; and coordinate record updates and amendments as required to ensure protocols do not lapse and study activities remain appropriately covered.
  • Visibility + stakeholder communication: Provide clear status reporting, surface critical-path risks, and align on mitigation/alternative plans with Medical Affairs leadership and key stakeholders.
  • Scientific output enablement: Track data generation and publication/congress timelines, maintain data-readiness visibility, and build/maintain tracking tools and outreach tracking for study opportunities/sites.
• All other duties as assigned

Position Requirements (Education, Experience, Other)

Required

• Bachelor’s Degree and 5+ years (or Master’s Degree and 3+ years) of Project Management experience with 2+ years' experience in a biomedical research, biotech, or healthcare setting
• Project Management Professional (PMP) or equivalent certification
• Demonstrated understanding of Project Management processes, strategies and methods
• Familiarity with clinical trial operations
• Proven track record of successful project and/or operational delivery in a biomedical research, biotech or healthcare setting.
• Demonstrated ability to succeed in a deadline-driven environment, solve problems, and prioritize tasks.
• Expertise with the project management life cycle (initiating, planning, executing, monitoring, closing) and change management.
• Expertise with tools that facilitate project management, such as Smartsheet, LucidChart, MS Office suite (Teams, Word, Excel, PowerPoint) and SharePoint.
• Excellent communication skills (oral, written, presenting) with the ability to build relationships across all levels of the organization.
• Self-motivated and works independently, with minimal supervision.
• Strong experience facilitating project team meetings, cross-functional communication and decision-making ensuring alignment with internal and potentially external stakeholders in a highly matrixed organization

Preferred

• Familiarity with regulatory and reimbursement pathways for diagnostic products (e.g., FDA, CLIA, CE-IVD).
• Familiarity with the real-world data/evidence lifecycle, data governance, processes, and operating models.
• Experience from at least two successful commercial product launches in diagnostics.
• Experience working with R&D, clinical, regulatory, marketing, and commercial teams to bring products from concept to market.
• Experience performing business opportunity assessments.

#LI-Remote

Compensation

Salary Range: $101,600 - $152,400

Possible “other compensation” elements to include:

• equity grant
• bonus eligible

Job Summary of the Material Control Technician

The Material Control Technician will help support and execute process controls for human tissue, critical supplies, and support functions throughout the Axogen Processing Center cGMP facility for surgical transplantation while ensuring compliance with applicable federal, state and AATB/FDA regulations. The Material Control Technician will support the Supervisor, Lead Technician and Engineering team as required in the Manufacturing and Processing Operations.

Requirements of the Material Control Technician

• High School Diploma or equivalent
• Valid driver’s license
• Experience in a cGMP environment is preferred, not required
• Forklift Cetification is preferred, not required
• ERP system experience is preferred, not required
• Must be proficient and able to effectively assist in training of current processes.
• Experience in 1 or more additional cross-functional support skills required (e.g. environmental monitoring, inventory recording, etc.).
• Ability to make decisions based on awareness of area operations is necessary.
• Good written/verbal communication skills, interpersonal skills and analytical troubleshooting skills.
• Must be able to deal with people under high pressure and in a constantly changing environment.
• Must be able to travel to and work at other Axogen locations on an as needed basis.
• Requires exerting up to 50 pounds of force occasionally and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to lift, carry, push, pull or otherwise move objects.
• Requires the following physical abilities: mental acuity, visual acuity, walking and standing for longer period of time, repetitive motion, speaking, grasping, manual dexterity, talking, and hearing.

Responsibilities of the Material Control Technician

The specific duties of the Material Control Technician include but are not limited to:

• Receives, stores, picks and ships raw materials, supplies and/or finished products in conjunction with internal and external requirements.
• Handles, moves and stores various non-hazardous and hazardous materials.
• Coordinates timely accurate flow of materials from warehouse inventory to work-in-process/production areas.
• Coordinates timely accurate flow of finished products to support shipments to customers and other destinations.
• Responsible for implementing and maintaining the effectiveness of the quality system, including maintaining proper first in and first out.
• Store, issue, or prepare materials in the warehouse, verifying the lot number, quantity, release status and any other unique identifiers using good documentation practices.
• Check materials against packaging lists, invoices, freight bills or other pertinent documentation to assure conformity and accuracy.
• Deliver materials to processing areas in a timely manner, maintain proper FIFO flow of raw materials and other time sensitive supplies.
• Maintain and sustain organized workspaces for tissue, supplies, and finished goods warehouse areas.
• Maintain accurate records and reconcile inventory errors.
• Accountable for personal safety and adhering to the safety guidelines.
• Must supply materials to functional areas or move to and from dock areas to maintain efficient shipping and receiving operations.
• This position is accountable for complying with applicable FDA (GMP), USDA, OSHA and Axogen regulations, policies, procedures or guidelines, assembly and review, processing, debridement, cleaning, safety, cleanroom behavior and documentation as needed.
• Participate in daily stand-up meetings, continuous improvement projects, adhere to established work practices like Kanban signals, and 5S initiatives.
• Performs other duties as directed by Supervisor.
• May be required to work in other Axogen roles or departments as needed.
• Complies with all company policies, procedures and SOPs.
• Required to cover call schedule, to include, holidays and weekends as assigned.

Working & Environmental Conditions

• Subject to handle potential infectious human tissue, nerves, umbilical cords, blood and bodily fluids. Also, subject to handle chemicals and hazardous / non-hazardous waste. Work involves risks or discomforts which require proper standard and universal precautions in a Biomedical manufacturing environment e.g., use of safe workplace practices with manufacturing equipment, wearing PPE during various tasks/activities including but not limited to, gowns, gloves, masks and safety glasses. Potential exposure to latex from gloves.
• May be required to sit for 2-4 hours or more debriding and evaluating unprocessed and processed human tissue. Required to wear surgical magnification loupes for 2-4 hours or more to evaluate tissue unprocessed and processed tissue.

Location

913 Industrial Drive Place, Vandalia, OH  45377

Benefits/Compensation

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is critical  in translating Neuralink’s BCI technology for clinical use!

Job Description and Responsibilities:

As a Clinical Program Manager, you will be the primary architect of Neuralink’s human clinical trial operations, transforming high-level strategy into rigorous, executable clinical programs. We are seeking a high-autonomy leader who thrives on ambiguity and drives projects to completion with surgical precision. In our hyper-dynamic environment, you aren't just managing timelines—you are building the infrastructure for the future of neurotechnology. You will be expected to:

Strategic Oversight & Relationship Management

• Act as the Principal Lead for complex clinical programs, owning end-to-end delivery and ensuring all milestones align with broader organizational objectives.
• Cultivate High-Stakes Partnerships across internal engineering and regulatory teams, as well as external vendors, strategic partners, and world-class clinical research sites.
• Champion Stakeholder Readiness by overseeing the training and credentialing of cross-functional teams, ensuring every contributor is equipped to operate within the trial’s rigorous requirements.

Operational Excellence & Scalability

• Engineer Scalable Frameworks to expand clinical operations across diverse global geographies, prioritizing safety, quality, and regulatory compliance at every inflection point.
• Lead Commercial & Financial Negotiations with trial sites, driving contract execution, budget optimization, and long-term financial planning to maximize trial efficiency without compromising site engagement.
• Drive Data Intelligence by leading the synthesis and analysis of clinical data to provide actionable insights for program refinement.

Compliance & Regulatory Stewardship

• Navigate Global Regulatory Landscapes to secure study approvals and maintain impeccable standing with Institutional Review Boards (IRB), Research Ethics Committees (REC), and relevant governing bodies.
• Enforce Rigorous Quality Standards, maintaining an expert-level command of Good Clinical Practices (GCP), international regulatory requirements, and site-specific Standard Operating Procedures (SOPs).
• Foster a Culture of Accountability, proactively identifying operational risks and implementing mitigation strategies to ensure the integrity of the clinical program.

Required Qualifications: 

Strategic Leadership & Clinical Expertise

• Extensive Industry Tenure: 7+ years of progressive leadership experience in clinical research, specifically within Class III medical devices, neurology, or high-complexity life sciences.
• Clinical Architecture: Advanced proficiency in clinical study design, endpoint selection, and the development of robust data analysis plans for first-in-human or pivotal trials.
• Regulatory Mastery: Deep technical knowledge of Global Good Clinical Practice (GCP) and international regulatory standards (e.g., ISO 14155, MDR, FDA 21 CFR Part 812).

Data Intelligence & Analytical Rigor

• Quantitative Fluency: Professional experience leveraging statistical methods or programming languages (Python, R) to drive data-led decision-making and trial optimization.
• Complex Problem Solving: Proven track record of interpreting multi-dimensional datasets and translating complex scientific findings into executive-level strategy.
• Meticulous Precision: A high-level of organizational rigor with the ability to manage competing high-priority workstreams in a fast-paced, high-stakes environment.

Communication & Interdisciplinary Integration

• Cross-Functional Catalyst: Demonstrated success leading integration between neural engineering, clinical neurosurgery, and regulatory affairs to achieve unified program goals.
• Scientific Diplomacy: Exceptional written and verbal communication skills, with the ability to distill complex technical and clinical concepts for diverse audiences, from internal engineers to external ethics committees.
• Operational Autonomy: A self-starting leader who initiates critical workstreams independently and maintains a relentless focus on deadline accuracy and operational efficiency.

Mission-Critical Mindset

• High-Stakes Resilience: A documented history of thriving in high-pressure, rapidly evolving environments where pivots are frequent and the margin for error is razor-thin.
• Advocacy & Influence: Strong presence and "scientific diplomacy" skills, with the ability to represent Neuralink’s clinical vision to world-class neurosurgeons, key opinion leaders (KOLs), and global health authorities

Preferred Qualifications: 

Advanced Academic & Technical Background

• Advanced Degree: PhD, MD, or Master’s degree in a relevant field (e.g., Neuroscience, Biomedical Engineering, Clinical Research, or Biological Sciences).
• Neurotech Specialization: Direct experience managing clinical trials for Class III active implantable medical devices (AIMDs), specifically Brain-Computer Interfaces (BCI) or Neuromodulation systems.
• Computational Fluency: Advanced proficiency in Python or R for automated data visualization, clinical dashboarding, or sophisticated statistical modeling.

Strategic Clinical Leadership

• First-in-Human (FIH) Mastery: Proven success in leading Early Feasibility Studies (EFS) and navigating the unique safety and ethical rigors of pioneering human trials.
• Global Expansion Experience: Experience scaling clinical operations across international jurisdictions, including familiarity with O-US regulatory bodies and localized clinical trial infrastructure.
• Financial Stewardship: Demonstrated expertise in multi-million dollar budget management, including sophisticated resource allocation and vendor contract optimization.

Innovation & Process Design

• Clinical Systems Architecture: Experience implementing and optimizing Clinical Trial Management Systems (CTMS), Electronic Data Capture (EDC), and eTMF platforms for high-growth environments.
• Agile Clinical Operations: Ability to apply "lean" or "agile" methodologies to clinical trial workflows, reducing cycle times while maintaining absolute compliance.
• Interdisciplinary Synthesis: A rare ability to translate high-level engineering specifications into clinical protocols that are both scientifically rigorous and operationally feasible for surgical teams.

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Clinical Scientist I, you will support the development, design, and execution of Neuralink’s clinical evidence strategy. This role focuses on translating product and research objectives into clinical study designs, supporting data analysis, and ensuring scientific rigor across clinical programs.

This individual is  a self-driven and analytically strong individual who can contribute to clinical strategy while executing with precision. The ideal contributor is detail-oriented, collaborative, and comfortable working in a fast-paced, multidisciplinary environment.

In this role, you will:

• Support the design and development of clinical study protocols, including endpoints, inclusion/exclusion criteria, and statistical considerations
• Contribute to clinical strategy by translating research and product goals into evidence-generating study plans
• Partner with other team members to support execution of clinical studies and ensure alignment between scientific intent and operational delivery
• Build and maintain strong working relationships with internal teams, investigators, and external partners
• Support preparation of study-related documents, including protocols, investigator brochures, clinical study reports, and regulatory submissions
• Contribute to EDC and CRF design by ensuring alignment between protocol objectives, endpoints, and data collection strategy
• Translate clinical and scientific requirements into structured, high-quality data capture and validation approaches
• Assist in data review, analysis, and interpretation to evaluate safety and performance outcomes
• Contribute to development of abstracts, presentations, and publications
• Support interactions with ethics committees (e.g., IRB, RECs) and regulatory bodies as needed
• Ensure scientific and clinical activities are conducted in compliance with Good Clinical Practice (GCP), applicable regulations, and internal SOPs
• Identify data trends, inconsistencies, or risks and proactively communicate findings to the broader team

Required Qualifications:

• Familiarity with statistical methods or programming (e.g., Python, R)
• 5+ years of experience in clinical research or scientific roles within medical devices or related fields
• Strong analytical and problem-solving skills with the ability to interpret complex data
• Familiarity with clinical study design, endpoints, and data analysis concepts
• Working knowledge of Good Clinical Practice (GCP) and basic regulatory requirements (e.g., ISO 14155)
• Ability to work cross-functionally with clinicians, engineers, and operational teams
• Strong written and verbal communication skills, particularly in scientific and technical contexts
• High attention to detail and ability to manage multiple priorities

Preferred Qualifications:

• Experience with neurological, neurosurgical, or implantable medical device studies
• Experience supporting protocol development, data analysis, or clinical reporting
• Publications or scientific presentations in biomedical engineering or neuroscience
• PhD  in neuroscience, biomedical engineering, or a related field
  

Additional Requirements and Competencies: 

• Willingness to travel (up to ~20–30%) to support site visits, investigator meetings, and study activities
• Strong organizational and documentation skills
• Ability to work independently while collaborating closely with cross-functional teams
• Adaptability and comfort in a fast-paced, high-growth environment
• Commitment to scientific rigor, patient safety, and high-quality evidence generation

Team Description:

The Neuralink Clinical team is at the heart of an ecosystem that merges neuroscience, engineering, and medicine. We work to shape the future of brain-computer interface (BCI) technology through the planning, launch, and execution of groundbreaking human clinical trials. Our team is built on a foundation of excellence, aiming to uphold the highest standards of Good Clinical Practice (GCP) while redefining what’s possible and revolutionizing the way people interact with technology. Through strict compliance with ethical and regulatory protocols, we focus on ensuring the well-being of our trial participants while advancing the frontiers of neuroscience! Every day will bring fresh challenges and unprecedented opportunities to pioneer new approaches in the pursuit of our mission. From navigating regulatory pathways, designing trial protocols and documentation, and executing clinical trials, our team is instrumental in translating Neuralink’s BCI technology for use in people!

Job Description and Responsibilities:

As a Field Clinical  Engineer, you will be on the front lines of Neuralink’s clinical programs, working directly with participants, clinicians, and internal teams to translate cutting-edge neurotechnology into meaningful functional outcomes. This role is ideal for individuals with a background in PM&R, occupational therapy, or physical therapy who also have experience in medical devices and thrive in dynamic clinical environments.

You will play a critical role in bridging clinical care, engineering, and research by supporting device use, optimizing participant performance, and ensuring high-quality data collection in both clinical and home settings.

This role requires someone who is hands-on, clinically grounded, technically curious, and able to adapt quickly. You should be comfortable working with participants with significant neurological impairments and motivated by improving independence and quality of life.

In this role, you will:

• Work directly with study participants to support device use, training, and optimization during clinical sessions and at home
• Apply principles of rehabilitation (PM&R, OT, PT) to maximize participant outcomes and functional performance with the system
• Collaborate closely with surgeons, investigators, and site staff to ensure seamless clinical execution across all phases of the study
• Serve as the primary interface between participants and the technology, troubleshooting issues in real time and escalating when needed
• Support surgical and post-operative workflows, including intraoperative and early post-implant sessions where applicable
• Ensure high-quality, protocol-compliant data collection by aligning participant activities with study endpoints and data capture requirements
• Partner with clinical, engineering, and data teams to translate real-world use into actionable insights for product and algorithm development
• Identify trends in participant performance, usability challenges, and safety signals, and communicate clearly to cross-functional teams
• Contribute to development and refinement of training protocols, user workflows, and clinical best practices
• Support site onboarding, training, and ongoing engagement to ensure consistency and scalability across clinical sites
• Assist in preparation for regulatory inspections and ensure activities are conducted in compliance with GCP, protocol requirements, and internal procedures
• Travel to clinical sites as needed to support study execution and participant care

The ideal candidate:

• Has a clinical background in PM&R, occupational therapy, or physical therapy, with hands-on experience working with neurological populations (e.g., SCI, ALS, stroke)
• Has experience working with medical devices in a clinical or field-based role
• Is highly adaptable, proactive, and comfortable operating in a fast-paced, evolving environment
• Is technically curious and able to engage with engineers to troubleshoot and improve system performance
• Communicates clearly and builds trust with participants, clinicians, and cross-functional teams
• Is detail-oriented and understands the importance of protocol adherence and data integrity in clinical research

Required Qualifications: 

• Clinical training and hands-on experience in PM&R, occupational therapy, or physical therapy, with a focus on neurological populations (e.g., SCI, ALS, stroke)
• 3+ years of experience in a clinical, field-based, or medical device–adjacent role (rehab, neuromodulation, assistive technology, or similar)
• Demonstrated experience working directly with patients and clinicians in dynamic care environments
• Strong problem-solving skills with the ability to troubleshoot clinical and technical issues in real time
• Ability to interpret participant performance, functional outcomes, and device behavior to inform next steps
• Comfort working with technology, including basic data review and interaction with software-driven systems (no need to be a coder, but not afraid of one either)
• Working knowledge of clinical research principles, including protocol adherence, endpoint-driven activities, and data quality expectations
• Familiarity with Good Clinical Practice (GCP) and general clinical study conduct
• Ability to collaborate effectively across clinical, engineering, and operations teams
• Strong communication skills, with the ability to engage both participants and highly technical teams
• High attention to detail, with the ability to manage multiple participants, sites, and priorities simultaneously
• Willingness to travel frequently to support clinical sites and participants

Preferred Qualifications:

• Degree or formal training in bioengineering, biomedical engineering, or a related field, with exposure to neurotechnology or implantable systems
• Experience working with neuromodulation, brain-computer interfaces, or other neurorehabilitation technologies
• Prior experience in a clinical field engineer, clinical specialist, or applications role within a medical device company
• Experience supporting surgical procedures, intraoperative environments, or early post-implant programming and troubleshooting
• Familiarity with signal-based systems (e.g., neural data, EMG, EEG) and comfort interpreting system performance in real time
• Exposure to rehabilitation technology integration, including assistive devices, digital interfaces, or adaptive control systems
• Experience supporting multi-site clinical studies or working directly with investigators and study coordinators
• Comfort working with data systems (e.g., EDC platforms, basic data visualization tools) to review participant performance and study metrics
• Understanding of usability, human factors, and patient-centered design principles
• Prior involvement in training clinicians or participants on device use and workflows
• Experience working in early-stage or rapidly evolving clinical programs where processes are still being defined

Team Description:

As part of the Surgery & Robot Hardware Department, the Surgical Consumables Team is responsible for producing a wide range of critical mechanical devices that enable our life-changing surgical procedures. Balancing immediate needs with long-term scalability, we drive innovation with precisely engineered tools that ensure safety, reliability, and high-quality surgical execution.

Job Description and Responsibilities:

We’re looking for a Manufacturing Engineer to help scale the manufacturing of consumables used in our robotic surgeries. These consumables include the Needle Cartridge (the end effector that inserts electrodes into the cortex) as well as other complex mechanical assemblies and surgical proxies, like the one being assembled here.

In this role, you will help expand our team’s capabilities by supporting the build-out of a new manufacturing site in Texas while sustaining production at existing sites. You’ll work hands-on to troubleshoot manufacturing issues, analyze data, improve processes, and design fixtures. You will collaborate closely with hardware designers, machinists, quality engineers, and the surgery team to ensure parts are built correctly, released on time, and delivered where they’re needed. 

You will contribute to technical solutions for complex manufacturing problems and help design processes that scale as production ramps. This role is well suited to someone who enjoys working closely with hardware, learning how products move from development to production, and operating in a fast-paced environment. The Manufacturing Engineer will:

• Support day-to-day production to meet consumables demand across the company
• Provide manufacturability input as products move into more mature lifecycle stages
• Design, test, and implement production fixtures, tooling, workstations, and assembly aids
• Troubleshoot manufacturing issues, perform root cause analysis, and implement corrective actions
• Support quality control activities in compliance with Design Control requirements, cGMP, FDA regulations, and internal policies
• Generate and maintain manufacturing documentation, including work instructions, Device Master Records (DMRs), and Design History Files (DHFs)
• Conduct risk assessments and support mitigation efforts to ensure product safety and reliability
• Drive continuous improvement efforts focused on yield, throughput, and process robustness

Required Qualifications:

• Strong interest in manufacturing small, safety-critical assemblies where precision and quality are paramount
• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Biomedical Engineering, or a related field, or equivalent experience
• 1+ year of experience in manufacturing engineering or engineering design
• Experience in Solidworks (preferred), OnShape, Creo, or an equivalent CAD program
• Demonstrated ability to execute on hardware-focused projects
• Hands-on experience physically building hardware (machining, fabrication, soldering, assembly, prototyping, etc.); personal projects are a plus
• A genuine interest in manufacturing and passion for learning

Preferred Qualifications:

• Experience working in a manufacturing environment
• Familiarity with ISO 13485, FDA 21 CFR Part 820, or other regulated manufacturing standards
  
  

Additional Requirements and Competencies:

• This role will initially require frequent travel to Fremont, CA, which is expected to decrease over time

Team Description:

As part of the Surgery & Robot Hardware, the Robot Manufacturing Team is responsible for producing and scaling the precisely engineered robotic systems and custom hardware that enable our life-changing surgical procedures. Balancing immediate production needs with long-term scalability, we drive manufacturing innovation to ensure the safety, reliability, and high-quality execution of every surgical implant.

Job Description and Responsibilities:

The Robot Manufacturing Intern will contribute directly to the production and scaling of Neuralink's advanced surgical robotic systems. This role provides hands-on experience in a fast-paced, high-precision manufacturing environment, focusing on developing processes, improving efficiency, and ensuring the quality and reliability of critical hardware used in our surgical procedures

• Manufacturing Process Support: Assist the team in the assembly, testing, and documentation of robotic components and systems.
• Process Improvement: Identify and implement improvements to existing manufacturing workflows to increase throughput, reduce errors, and enhance product quality.
• Documentation and Control: Help create and maintain detailed manufacturing work instructions, process flow diagrams, and standard operating procedures (SOPs) to ensure compliance with quality systems.
• Tooling and Fixture Design: Work on the design and fabrication of jigs, fixtures, and production aids to streamline assembly and inspection tasks.
• Quality Assurance: Perform in-process quality checks and contribute to failure analysis and root cause investigations for non-conforming materials or devices.
• Data Analysis: Collect, analyze, and report on manufacturing data to track key performance indicators (KPIs) and support data-driven decisions.

Required Qualifications:

• Currently pursuing a Bachelor's degree in Manufacturing Engineering, Mechanical Engineering, Biomedical Engineering, or a closely-related engineering field.
• Demonstrated passion and aptitude for hands-on technical work, manufacturing, or robotics, evidenced by relevant coursework, technical clubs, or personal projects.
• Strong foundational understanding of physics and mathematics relevant to engineering principles.
• Proven ability to be highly detail-oriented and organized in a high-precision environment.
• Excellent written and verbal communication skills for creating clear documentation and collaborating with a technical team.
• Must be able to commit to a full-time intern schedule.

Preferred Qualifications:

• Prior hands-on experience in a manufacturing or lab environment related to robotics or high-precision assembly
• Proficiency with SolidWorks or similar CAD software for designing production aids and tooling
• Familiarity with regulated environments (e.g., medical device, ISO 13485) and Quality Management Systems (QMS) documentation

Pay Transparency:

Based on California law, the following details are for California individuals only:

California Hourly Range: 

$25.00/hr USD

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Mechanical engineering Intern on this team you will contribute across a wide range of projects, from designing novel benchtop experiment setups to test the next generation of implants. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Job Description and Responsibilities:

As a Mechanical Engineering Intern, you will design and build versatile benchtop test setups for evaluating next-generation brain-computer interface (BCI) implants. These setups will enable rapid algorithm iteration and system level validation. You will collaborate closely with the Next-Gen team to define requirements and implement best practices for scalable, reusable test hardware. Specifically, you will:

• Design and build custom benchtop fixtures and electrical/mechanical assemblies to test implant prototypes and related hardware
• Develop setups that mimic neural environments, including spiking-activity emulators, saline or tissue-like baths, and controlled noise sources to replicate in-vivo signal conditions
• Establish and document SOPs for assembly, calibration, and routine testing to ensure repeatability and reliability
• Integrate electrical and mechanical components to support algorithm development, automated data collection, and noise characterization
• Collaborate across disciplines to translate experimental needs into robust solutions
• Iterate and generalize test platforms for future implant designs and evolving experimental requirements

Required Qualifications:

• Currently pursuing a Bachelor’s, Master’s, or PhD degree in Mechanical Engineering, Biomedical Engineering, Materials Science, or a related field 6+ months of relevant academic coursework or project experience
• 9+ months of experience applying technical skills outside the classroom (e.g., personal projects, prior internships, or work experience)
• 1+ years of mechanical design experience
• Strong understanding of engineering first principles
• Effective written and verbal communication skills

Preferred Qualifications: 

• 1+ years of mechanical engineering industry experience, including owning products from concept to production
• Familiarity with machining and rapid prototyping technologies
• Experience with electrical engineering, data acquisition modules

Team Description:

The Next Gen team at Neuralink is developing the next generation of brain-computer interfaces. We are laying the groundwork for intuitive, high-dimensional, and bidirectional interfaces between brains and machines, with the goal of helping people challenged by a variety of neurological disorders and conditions. Our team consists of scientists and engineers, working closely together to define the engineering requirements for these future products. As a Neuroengineer on this team, you will contribute across a wide range of projects, from designing novel experimental preparations, to interpreting neural signals and behavioral data, to developing novel BCI paradigms. Successful candidates will be highly adaptable, able to deploy their core technical and creative skills to tackle a wide range of problems, and have a keen sense of urgency.

Job Description and Responsibilities:

• Develop computational models of, and design encoding strategies for, electrical stimulation
• Design, execute, interpret, and communicate the results of neural recording and stimulation experiments
• Implement end-to-end hardware and software solutions for prosthetic vision, including machine vision algorithms, smart glasses, and eye tracking technology
• Run and support research sessions in coordination with software engineers, field engineers, and animal specialists
• Present results in a collaborative setting

Required Qualifications: 

• Evidence of exceptional ability in neuroscience, biomedical engineering, electrical engineering, machine learning, or a related field
• 4+ years of academic or industry experience
• A strong understanding of the scientific method and engineering first principles
• Fluency with Python for data analysis

Preferred Qualifications: 

• Experience with modern statistical inference and machine learning, including for machine vision applications
• Experience with neural stimulation
• Experience modeling the influence of electrical stimulation on neural activity, for example using the NEURON modeling environment
• Experience modeling electric fields using finite element modeling (FEM)
• Experience building and programming experimental instrumentation 
• Experience with in-vivo electrophysiology, awake behaving recordings, and in particular, closed-loop brain-computer interface

Team Description:

The Preclinical Team is responsible for designing, conducting, documenting, analyzing, and reporting preclinical studies. Our team provides a means for ensuring the safe, effective, and robust implantation of Neuralink devices into animals and, ultimately, humans.

Job Description and Responsibilities:

The Study Coordinator provides critical operational and project management support to the Study Director in GLP-regulated preclinical studies for Neuralink devices. This role handles the majority of day-to-day coordination, scheduling, data compilation, and administrative tasks, enabling the Study Director to focus on scientific oversight, data interpretation, and regulatory compliance. The Study Coordinator acts as a key liaison across the preclinical team, technical staff, and cross-functional groups to ensure studies progress smoothly, on time, and in compliance with protocols and SOPs. The Study Coordinator will:

• Support the Study Director in developing study protocols, amendments, and related documentation.
• Facilitate cross-functional communication, establish and track study timelines, and prepare/lead study milestone meetings.
• Identify and help eliminate roadblocks that could delay study progress.
• Assist with implementation of test methods and practices described in the study protocol and SOPs.
• Help ensure all experimental data, including observations of unanticipated responses of the test system, are accurately recorded and verified.
• Manage the study schedule, alerting the Study Director and team to critical data collection points or deadlines.
• Support the documentation and addressing of self-reported or QAU-generated deviations that may affect study quality.
• Compile data, organize contributing scientist reports, and assist in preparing the final study report so it accurately reflects study results.
• Maintain organized study files, track communications, and support archiving of data, documentation, protocols, specimens, and reports per GLP.
• Coordinate day-to-day study activities with technical staff, veterinary teams, and external partners (e.g., CROs if applicable).
• Contribute to internal tracking systems, meeting minutes, and status updates for the Preclinical Team.

Required Qualifications:

• Bachelor’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Minimum 1 year of experience in preclinical research support, study coordination, or project management (academic experience applies).
• Solid understanding of GLP regulations (21 CFR Part 58), basic knowledge of ISO 10993, and familiarity with in vivo animal studies.
• Strong organizational and project management skills with proven ability to manage timelines and multiple priorities.
• Excellent attention to detail and proficiency in data compilation, documentation, and Microsoft Office (or equivalent) tools.
• Experience working in or supporting animal research facilities with IACUC protocols.

Preferred Qualifications:

• Master’s degree  in biology, neuroscience, biomedical engineering, animal science, or a related field.
• Direct experience with neural device implantation studies or neurosurgical models.
• Background in a CRO or medical device preclinical setting.
• Familiarity with electronic data capture systems or GLP-compliant documentation platforms.

Additional Requirements and Competencies:

• Willingness to work in an animal research facility environment (with required training and PPE).
• Flexibility in schedule to support critical study timepoints.

Team Description:

Join our innovative Equipment Quality Team, a dynamic collective of experts dedicated to maintaining the precision and efficacy of high-tech equipment in preclinical and manufacturing domains. Engage with the latest in biomedical devices, industrial instrumentation, and high-end technologies like lasers and RF systems. As pioneers who've crafted a robust equipment program from scratch, we champion creative problem-solving and strive to set industry benchmarks. Immerse yourself in a mission-critical role that propels safety and regulatory compliance to new heights, and become part of a collaborative force driving the future of biomedical quality.

Job Description and Responsibilities:

Neuralink is seeking an Equipment Quality Technician with a strong knowledge of applied metrology. This technician will calibrate, repair, and perform preventative maintenance on equipment in the quality program. In addition, they will troubleshoot and repair instruments and systems. This role requires participation in cross-functional teams and some travel. Additionally, you will be expected to:

• Calibrate and perform preventive maintenance on any instrument or device in the equipment quality program with little to no supervision
• Provide the technical expertise for assisting management in developing work procedures and protocols
• Assist in the design, fabrication, check-out, start-up, and acceptance of new or modified equipment
• Determine and requisition parts required for maintenance repairs
• Adhere to cGxP guidelines, SOPs, and safety rules/regulations
• Assist management with determining work schedules and project costs
• Work closely with cross-functional team members  in regards to continuous improvement activities, solving problems, and improving overall product quality
• Explain calibration issues and processes to equipment custodians and management

Required Qualifications:

• Ability to comprehend and apply manuals and schematics for maintenance and troubleshooting
• Proficiency in using hand tools, physical/dimensional test instruments, and electronic test instruments
• Able to work in a dynamic, fast-paced environment
• Strong interpersonal skills: ability to work with colleagues and cross-functional teams in a professional and organized manner
• Competence in operating computing hardware and standard software
• Minimum of 1 year of experience related industrial instrumentation/calibration experience and/or training; or equivalent combination of education and experience
• Willingness to assist with other Quality Engineering activities such as facilities, equipment, and facilities validation

Preferred Qualifications:

• Experience in PMEL, TMDE, Metrology, Calibration, Instrumentation, Validation, or Biomedical Equipment
• Associates or Bachelors Degree in Science, Technology, Engineering, Mathematics or military training in calibration
• Relevant experience working in a highly regulated (e.g., GMP, GCP, GLP) environments

ABOUT THE ROLE

The Analytical Development team is seeking a motivated and detail-oriented Research Associate to support advancement of the company’s LNP platform and ongoing clinical programs. The successful candidate will work closely with senior team members to support LNP process development, execute analytical testing for in vivo studies, and contribute to the characterization of LNPs as well as mRNA and gRNA payloads.

RESPONSIBILITIES

• Contribute to development of suitable biochemical and biophysical tools for characterizing LNPs containing RNA payloads used in epigenetic editing applications 

• Optimize and troubleshoot existing analytical methods to improve accuracy, reliability, and sensitivity

• Collaborate with research and process development groups to routinely characterize products and process intermediates 

• Contribute to design of experiments, analyze data, and document laboratory work in electronic lab notebooks 

• Contribute ideas and present scientific findings at team meetings 

• Assist with troubleshooting and regular maintenance of critical laboratory equipment and ordering of reagents and consumables

SKILLS & COMPETENCIES:

• Hands-on experience with biophysical characterization of lipid nanoparticle formulations (e.g., SEC-MALS, AF4-MALS, DSC, cIEF, NTA, DLS, SAXS) and/or analysis and characterization of therapeutic nucleic acids (mRNA, oligonucleotides, plasmids) by chromatography (e.g., IPRP/IEX HPLC) and electrophoresis (e.g., CGE) required
• Experience with molecular and immunoassays (e.g., PCR, ELISA) is a plus
• Experience troubleshooting and optimizing routine analytical methods and experimental workflows, including instrumentation
• Working knowledge of data analysis and basic statistical approaches (e.g., quantification, trending)
• Strong organizational skills and attention to detail, with ability to manage multiple priorities in a fast-paced environment
• Strong communication skills and ability to work collaboratively within cross-functional teams
• Demonstrated curiosity and willingness to learn new techniques and support evolving project needs

QUALIFICATIONS:

• Bachelor’s or Master’s degree in Chemistry, Biochemistry, Pharmaceutical Sciences, Chemical or Biomedical Engineering, or a related field, with 4–6 years (BS) or 2–4 years (MS) of relevant industry experience in the biopharmaceutical industry
• Demonstrated experience executing experiments independently in a fast-paced industry setting
• Familiarity with electronic lab notebooks (e.g., Benchling) highly desired

The Team

The Diagnostics team develops next-generation sensing technologies for real-time molecular monitoring in living systems. We bring together engineers, chemists, biologists, and translational scientists to create wearable and implantable platforms that enable high-impact applications in healthcare, therapeutics, and disease monitoring.

The Opportunity

We are seeking a Senior Mechanical Engineer to lead the design and development of miniaturized sensing systems for wearable and implantable medical devices. This person will play a critical role in translating early-stage prototypes into robust, manufacturable products by driving the mechanical design of housings, connectors, enclosures, microdevice assemblies, and packaging solutions.

This is a highly cross-functional role that sits at the intersection of engineering, biology, materials science, and product development. The engineer will work closely with scientists and external manufacturing partners to develop compact, high-performance sensing systems that can operate reliably in demanding biological environments.

What You'll Do

• Lead the mechanical design and development of wearable, implantable, and miniaturized sensing platforms for biomedical applications
• Design and prototype components, connectors, enclosures, fixtures, and packaging solutions for sensor systems and associated electronics
• Work closely with multidisciplinary teams to integrate mechanical, electrical, biological, and materials requirements into a manufacturable product
• Collaborate with external vendors and manufacturing partners to source, fabricate, and refine high-precision components and assemblies
• Conduct prototyping, testing, failure analysis, and design optimization to improve reliability, manufacturability, and long-term device performance

What You'll Bring

• PhD in Mechanical Engineering, Biomedical Engineering, Materials Engineering, or a related discipline
• At minimum 2+ years of professional experience 
• Strong industrial experience in medical device development, preferably involving wearable devices, implantable systems, or miniaturized sensing technologies
• Expertise in CAD tools such as SolidWorks, Creo, or Fusion 360 and experience designing precision mechanical systems
• Experience with medical-grade materials, hydrogels, soft materials, connectors, packaging, and biocompatible assemblies
• Strong communication skills and experience working with external vendors, contract manufacturers, and multidisciplinary technical teams

Compensation

The Chicago, IL base pay range for a new hire in this role is $130,000 - $137,700. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a onsite position requiring you to be in office approximately 5 days a week. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Onsite

The Team

The Biohub is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The Biohub focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies.

Our Vision

• We pursue large scientific challenges that cannot be pursued in conventional environments
• We enable individual investigators to pursue their riskiest and most innovative ideas
• The technologies developed at the Biohub facilitate research by scientists and clinicians at our home institutions and beyond

Diversity of thought, ideas, and perspectives are at the heart of Biohub and enable disruptive innovation and scholarly excellence. We are committed to cultivating an organization where all colleagues feel inspired and know their work makes an important contribution.

The Opportunity

Biohub Chicago seeks outstanding early-career experimental scientists with expertise in high-throughput profiling and quantitative biology to join as a Postdoctoral Research Scholar working on single-cell genomics problems in the inflammation space. We welcome candidates from diverse experimental backgrounds—whether rooted in sequencing, imaging, bioengineering, or other modalities—who bring rigorous quantitative thinking and a drive to tackle complex biological questions. This role offers a unique opportunity to work hands-on in a generously funded, highly collaborative environment at the intersection of technology development, bioengineering, and disease-focused discovery.

Postdoctoral Research Scholars will be embedded in interdisciplinary teams applying and developing high-throughput single-cell genomics approaches to understand inflammatory disease mechanisms. The successful candidate will design and execute quantitative experiments—using sequencing, imaging, bioengineering, or complementary profiling technologies—to dissect cellular heterogeneity, immune cell states, and tissue-level responses in complex biological systems. This role emphasizes both experimental rigor and computational fluency in the analysis of large-scale, high-dimensional datasets.

This position provides strong mentorship alongside meaningful scientific independence within a team-science model that emphasizes collaboration across experimental, computational, and engineering domains. Projects align with the Biohub's mission to uncover fundamental disease mechanisms and to develop transformative measurement technologies that accelerate biomedical research. Biohub Chicago is deeply committed to training scientists for impactful careers in academia, industry, and beyond.

What You'll Do

• Design and execute quantitative, high-throughput experiments linking perturbations to the function of immune and inflammatory systems.
• Develop, optimize, and apply perturbation readout workflows—including sequencing-based, imaging-based, or multimodal approaches—with rigorous method development, benchmarking, and quality control.
• Collaborate closely with interdisciplinary teams spanning immunology, genomics, computation, and bioengineering to address open questions in inflammation biology.
• Analyze and interpret large-scale, high-dimensional datasets using computational and statistical approaches, and communicate results clearly through figures, presentations, and internal discussions.
• Disseminate research outputs through high-impact publications, preprints, and open scientific resources, contributing to a culture of open and collaborative science.
  

What You'll Bring

• PhD in genomics, bioengineering, quantitative biology, systems immunology, computational biology, or a related quantitative life-science field.
• Hands-on experience with core wet-lab molecular and cellular biology techniques, as well as high-throughput profiling methods.
• Demonstrated experience in quantitative molecular and cellular biology techniques and high-throughput profiling approaches.
• Demonstrated expertise in quantitative interpretation of complex, high-dimensional datasets.
• Strong record of scientific productivity, creativity, and collaborative problem-solving in interdisciplinary research environments.
• Motivation to pursue innovative, independent research aligned with the Biohub’s mission and to thrive in a hands-on, team-science culture.
• [Nice to have] Experience with high-throughput profiling platforms (e.g., single-cell RNA-seq, spatial transcriptomics, multiplexed imaging, flow/mass cytometry, or proteomics
• [Nice to have] Experience working with primary human cells.
• [Nice to have] Experience with technology or assay development, molecular barcoding, novel nucleic acid technologies, or quantitative imaging methods.
• [Nice to have] Background in immunology, inflammation biology, or related disease areas.

Compensation

The Chicago, IL base pay range for a new hire in this role is $71,000-$84,150. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

This position may be eligible to participate in our discretionary annual performance bonus program. Bonus eligibility and targets are determined in accordance with our total rewards philosophy and may vary by role.

Better Together

As we grow, we’re excited to strengthen in-person connections and cultivate a collaborative, team-oriented environment. This role is a onsite position requiring you to be in office for 100% of the working month, approximately 5 days a week. 

Benefits for the Whole You 

We’re thankful to have an incredible team behind our work. To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible. 

• Provides a generous employer match on employee 401(k) contributions to support planning for the future.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving

If you’re interested in a role but your previous experience doesn’t perfectly align with each qualification in the job description, we still encourage you to apply as you may be the perfect fit for this or another role.

#LI-Onsite

Job Summary of the Material Control Technician

The Material Control Technician will help support and execute process controls for human tissue, critical supplies, and support functions throughout the Axogen Processing Center cGMP facility for surgical transplantation while ensuring compliance with applicable federal, state and AATB/FDA regulations. The Material Control Technician will support the Supervisor, Lead Technician and Engineering team as required in the Manufacturing and Processing Operations.

Requirements of the Material Control Technician

• High School Diploma or equivalent
• Valid driver’s license
• Experience in a cGMP environment is preferred, not required
• Forklift Cetification is preferred, not required
• ERP system experience is preferred, not required
• Must be proficient and able to effectively assist in training of current processes.
• Experience in 1 or more additional cross-functional support skills required (e.g. environmental monitoring, inventory recording, etc.).
• Ability to make decisions based on awareness of area operations is necessary.
• Good written/verbal communication skills, interpersonal skills and analytical troubleshooting skills.
• Must be able to deal with people under high pressure and in a constantly changing environment.
• Must be able to travel to and work at other Axogen locations on an as needed basis.
• Requires exerting up to 50 pounds of force occasionally and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to lift, carry, push, pull or otherwise move objects.
• Requires the following physical abilities: mental acuity, visual acuity, walking and standing for longer period of time, repetitive motion, speaking, grasping, manual dexterity, talking, and hearing.

Responsibilities of the Material Control Technician

The specific duties of the Material Control Technician include but are not limited to:

• Receives, stores, picks and ships raw materials, supplies and/or finished products in conjunction with internal and external requirements.
• Handles, moves and stores various non-hazardous and hazardous materials.
• Coordinates timely accurate flow of materials from warehouse inventory to work-in-process/production areas.
• Coordinates timely accurate flow of finished products to support shipments to customers and other destinations.
• Responsible for implementing and maintaining the effectiveness of the quality system, including maintaining proper first in and first out.
• Store, issue, or prepare materials in the warehouse, verifying the lot number, quantity, release status and any other unique identifiers using good documentation practices.
• Check materials against packaging lists, invoices, freight bills or other pertinent documentation to assure conformity and accuracy.
• Deliver materials to processing areas in a timely manner, maintain proper FIFO flow of raw materials and other time sensitive supplies.
• Maintain and sustain organized workspaces for tissue, supplies, and finished goods warehouse areas.
• Maintain accurate records and reconcile inventory errors.
• Accountable for personal safety and adhering to the safety guidelines.
• Must supply materials to functional areas or move to and from dock areas to maintain efficient shipping and receiving operations.
• This position is accountable for complying with applicable FDA (GMP), USDA, OSHA and Axogen regulations, policies, procedures or guidelines, assembly and review, processing, debridement, cleaning, safety, cleanroom behavior and documentation as needed.
• Participate in daily stand-up meetings, continuous improvement projects, adhere to established work practices like Kanban signals, and 5S initiatives.
• Performs other duties as directed by Supervisor.
• May be required to work in other Axogen roles or departments as needed.
• Complies with all company policies, procedures and SOPs.
• Required to cover call schedule, to include, holidays and weekends as assigned.

Working & Environmental Conditions

• Subject to handle potential infectious human tissue, nerves, umbilical cords, blood and bodily fluids. Also, subject to handle chemicals and hazardous / non-hazardous waste. Work involves risks or discomforts which require proper standard and universal precautions in a Biomedical manufacturing environment e.g., use of safe workplace practices with manufacturing equipment, wearing PPE during various tasks/activities including but not limited to, gowns, gloves, masks and safety glasses. Potential exposure to latex from gloves.
• May be required to sit for 2-4 hours or more debriding and evaluating unprocessed and processed human tissue. Required to wear surgical magnification loupes for 2-4 hours or more to evaluate tissue unprocessed and processed tissue.

Location

913 Industrial Drive Place, Vandalia, OH  45377

Benefits/Compensation

Job Summary of the Processing Technician

The Processing Technician will perform debridement and processing, packaging and labeling of human tissue products for surgical transplantation while ensuring compliance with applicable federal, state and AATB regulations. 

Requirements of the Processing Technician

• High School Diploma or equivalent.
• Universal precautions and sterile technique (i.e. surgical technician, medical assistant, lab technician) preferred. 

Responsibilities of the Processing Technician

• The specific duties of the Processing Technician include but are not limited to:
• Performs processing, debridement, packaging, labeling and shipment of finished product.
• Participates in the receiving and inspection of incoming unprocessed tissue.
• Utilizes special techniques, instrumentation, and equipment to clean and size tissue to specifications and protocols.
• Assists team lead with efforts in maintaining inventory levels on the core and dock for receiving supplies.
• Performs lab cleaning activities as required by policies, protocols, procedures, and SOPs.
• Work with Quality and Regulatory staff to ensure compliance with all federal, state, and AATB regulations and requirements, particularly those pertaining to manufacturing.
• Complete documentation as required in processing in accordance with standard operating procedures and quality standards.
• Assists with production records as needed.
• Complies with all company policies, procedures, and SOPs.
• Performs all other duties assigned by the supervisor. 

Physical Requirements

The work is medium work which requires exerting up to 60 pounds of force occasionally and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to lift, carry, push, pull or otherwise move objects. Additionally, the work requires the following physical abilities: mental acuity, visual acuity, walking, repetitive motion, speaking, grasping, manual dexterity, talking, and hearing.

Working & Environmental Conditions

Work involves risks or discomforts which require proper safety precautions in a Biomedical manufacturing environment e.g., use of safe workplace practices with manufacturing equipment, wearing gloves for PPE during various tasks/activities including but not limited to, gloves, masks and safety glasses avoidance of trips and falls, and observance of fire and building safety regulations. Occasional potential exposure to hazards such as chemicals, blood or bodily fluids, communicable diseases, saw blades, needles, or other sharp objects, moving mechanical parts, and latex exposure. 

Location

913 Industrial Drive Place, Vandalia, OH  45377

Benefits/Compensation

Job Summary of the Material Control Technician

The Material Control Technician will help support and execute process controls for human tissue, critical supplies, and support functions throughout the Axogen Processing Center cGMP facility for surgical transplantation while ensuring compliance with applicable federal, state and AATB/FDA regulations. The Material Control Technician will support the Supervisor, Lead Technician and Engineering team as required in the Manufacturing and Processing Operations.

Requirements of the Material Control Technician

• High School Diploma or equivalent
• Valid driver’s license
• Experience in a cGMP environment is preferred, not required
• Forklift Cetification is preferred, not required
• ERP system experience is preferred, not required
• Must be proficient and able to effectively assist in training of current processes.
• Experience in 1 or more additional cross-functional support skills required (e.g. environmental monitoring, inventory recording, etc.).
• Ability to make decisions based on awareness of area operations is necessary.
• Good written/verbal communication skills, interpersonal skills and analytical troubleshooting skills.
• Must be able to deal with people under high pressure and in a constantly changing environment.
• Must be able to travel to and work at other Axogen locations on an as needed basis.
• Requires exerting up to 50 pounds of force occasionally and/or up to 30 pounds of force frequently, and/or up to 10 pounds of force constantly to lift, carry, push, pull or otherwise move objects.
• Requires the following physical abilities: mental acuity, visual acuity, walking and standing for longer period of time, repetitive motion, speaking, grasping, manual dexterity, talking, and hearing.

Responsibilities of the Material Control Technician

The specific duties of the Material Control Technician include but are not limited to:

• Receives, stores, picks and ships raw materials, supplies and/or finished products in conjunction with internal and external requirements.
• Handles, moves and stores various non-hazardous and hazardous materials.
• Coordinates timely accurate flow of materials from warehouse inventory to work-in-process/production areas.
• Coordinates timely accurate flow of finished products to support shipments to customers and other destinations.
• Responsible for implementing and maintaining the effectiveness of the quality system, including maintaining proper first in and first out.
• Store, issue, or prepare materials in the warehouse, verifying the lot number, quantity, release status and any other unique identifiers using good documentation practices.
• Check materials against packaging lists, invoices, freight bills or other pertinent documentation to assure conformity and accuracy.
• Deliver materials to processing areas in a timely manner, maintain proper FIFO flow of raw materials and other time sensitive supplies.
• Maintain and sustain organized workspaces for tissue, supplies, and finished goods warehouse areas.
• Maintain accurate records and reconcile inventory errors.
• Accountable for personal safety and adhering to the safety guidelines.
• Must supply materials to functional areas or move to and from dock areas to maintain efficient shipping and receiving operations.
• This position is accountable for complying with applicable FDA (GMP), USDA, OSHA and Axogen regulations, policies, procedures or guidelines, assembly and review, processing, debridement, cleaning, safety, cleanroom behavior and documentation as needed.
• Participate in daily stand-up meetings, continuous improvement projects, adhere to established work practices like Kanban signals, and 5S initiatives.
• Performs other duties as directed by Supervisor.
• May be required to work in other Axogen roles or departments as needed.
• Complies with all company policies, procedures and SOPs.
• Required to cover call schedule, to include, holidays and weekends as assigned.

Working & Environmental Conditions

• Subject to handle potential infectious human tissue, nerves, umbilical cords, blood and bodily fluids. Also, subject to handle chemicals and hazardous / non-hazardous waste. Work involves risks or discomforts which require proper standard and universal precautions in a Biomedical manufacturing environment e.g., use of safe workplace practices with manufacturing equipment, wearing PPE during various tasks/activities including but not limited to, gowns, gloves, masks and safety glasses. Potential exposure to latex from gloves.
• May be required to sit for 2-4 hours or more debriding and evaluating unprocessed and processed human tissue. Required to wear surgical magnification loupes for 2-4 hours or more to evaluate tissue unprocessed and processed tissue.

Location

913 Industrial Drive Place, Vandalia, OH  45377

Benefits/Compensation

Job Description:

We are seeking a skilled and motivated Biomedical Equipment Technician to join our company’s dynamic team. As a Biomedical Equipment Technician, you will play a crucial role in ensuring the reliability, functionality, and safety of medical equipment at the VA. Your responsibilities will encompass a wide range of tasks including preventive and corrective maintenance, incoming inspections, medical device security, equipment installations, electrical safety inspections, addressing hazard recalls, software repairs, and working with Cerner integration. The ideal candidate should possess a strong technical background, excellent problem-solving skills, and a commitment to maintaining high standards of patient care through the proper functioning of medical equipment.

Responsibilities:

• Perform routine preventive maintenance on a diverse range of medical equipment to ensure optimal functionality and extend equipment lifespan.
• Conduct corrective maintenance by diagnosing and repairing malfunctions in medical devices, adhering to manufacturer's guidelines and technical specifications.
• Carry out incoming inspections of new medical equipment to verify its compliance with safety standards, functionality, and accuracy.
• Collaborate with the IT and cybersecurity teams to implement and maintain medical device security protocols, ensuring patient data confidentiality and protection against cyber threats.
• Install, calibrate, and configure medical equipment, following manufacturer instructions and safety guidelines.
• Conduct electrical safety inspections to identify and address potential hazards associated with medical equipment operation, cords, and plugs.
• Monitor and address hazard and safety recalls related to medical equipment, coordinating with manufacturers and relevant departments for swift resolution.
• Perform software repairs and updates on medical devices to address software glitches, improve functionality, and ensure compatibility with other systems.
• Maintain accurate records of maintenance activities, repairs, and inspections using computerized maintenance management systems (CMMS).
• Provide technical support and training to medical staff on the proper operation and handling of medical equipment.
• Keep abreast of industry trends, advancements, and regulations related to biomedical equipment technology and integrate this knowledge into daily tasks.
• Collaborate with other healthcare professionals and departments to ensure seamless equipment operations and contribute to the enhancement of patient care.
• Experience with Cerner electronic health record (EHR) systems and integration is preferred.

Location: Danville VA Medical Center

Basic Qualifications

The Contractor key personnel shall meet one of the following basic qualifications, regardless of role in the services provided under this contract:

• Experience within a medical center and Biomedical Engineering department
• OR, Experience working in or with the Veterans Health Administration (VHA)
• OR, Understanding of VISN, VA medical center, and Biomedical Engineering department operations

In addition to the basic qualifications, the Contractor key personnel shall meet the following role-specific qualifications based on the core functions and services each will be providing under this contract.

Role Specific Qualifications: 

• A two-year associate degree or higher in an applied science or equivalent military training.
• Demonstrated competency to perform operational verification procedures, planned maintenance, and repair service on various medical equipment.
• Understanding of regulatory agencies’ requirements, industry regulatory requirements and International Standard Organization standards.
• Familiarity with the setup and application of test equipment.
• Ability to read, analyze, and interpret technical literature, schematics, and drawings.
• Level III Experience - A minimum of five years of hospital or healthcare experience performing medical equipment maintenance.

Eligibility:

Compensation:

Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.

Salary range: 70,000 - $85,000

We are offering a $5,000 signing bonus for those that are local to the facility OR for those that are willing to relocate, $5,000 relocation assistance

Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental and vision), paid time off, federal holidays, and matching 401K plan.

Job Description:

We are seeking an experienced and highly qualified Biomedical Engineer to join our healthcare organization. As a Biomedical Engineer, you will play a pivotal role in managing our medical equipment program and ensuring the safety, functionality, and compliance of medical technology within our healthcare facility. The ideal candidate will have a minimum of three years of hospital or healthcare experience in medical equipment maintenance or management and possess a deep understanding of computer-based medical systems, networking protocols, information security, and healthcare standards and regulations.

Responsibilities:

• Develop and implement a comprehensive medical equipment management program that complies with applicable healthcare standards, regulatory agencies, and industry best practices.
• Create and deliver a curriculum for a continuing education program focused on the safe and effective use of medical technology for healthcare staff.
• Manage a recall and safety alert program for medical devices, including conducting medical device hazard investigations, to ensure compliance with patient safety goals, SMDA (Safe Medical Devices Act), and TJC (The Joint Commission) requirements.
• Lead capital asset and infrastructure planning for medical equipment, covering initial concept, installation, and effective implementation of complex medical technology.
• Serve as the subject matter expert in the field of biomedical engineering, providing direct support for specialized clinical technology, including service, system administration, training, quality assurance, and life-cycle management.
• Advise clinical and administrative staff on medical technology, including existing and emerging technology, to assess viability, long-term suitability, compatibility, and safety.
• Apply project management principles to the deployment of medical equipment and health information technologies, ensuring timely and effective implementation.
• Collaborate with key stakeholders, including technical and professional staff at various levels of the organization, to ensure seamless integration of medical technology.
• Stay updated on regulatory agencies' requirements, industry regulatory standards, and International Standard Organization (ISO) standards to maintain compliance and drive continuous improvement.

Location: Danville VA Medical Center 

Basic Qualifications:

The Contractor key personnel shall meet one of the following basic qualifications, regardless of role in the services provided under this contract:

• Experience within a medical center and Biomedical Engineering department
• OR, Experience working in or with the Veterans Health Administration (VHA)
• OR, Understanding of VISN, VA medical center, and Biomedical Engineering department operations

In addition to the basic qualifications, the Contractor key personnel shall meet the following role-specific qualifications based on the core functions and services each will be providing under this contract.

Role Specific Qualifications: 

• A Bachelor’s degree or higher in Engineering or Certification as a Clinical Engineer (CCE).
• A minimum of three years of hospital or healthcare experience maintaining medical equipment or managing a hospital medical equipment program.
• Demonstrated knowledge of concepts related to computer based medical systems, networking protocols, and information security as it applies to medical technology within VHA.
• Demonstrated competency in the ability to conduct a medical equipment management program that is compliant with applicable healthcare standards and regulatory agencies; ability to develop a curriculum for a continuing education program that address the safe and effective use of medical technology; ability to manage a recall and safety alert program for medical devices, including medical device hazard investigations, to assure compliance with patient safety goals, SMDA, and TJC requirements; ability to conduct capital asset and infrastructure planning for medical equipment spanning initial concept, installation, and effective implementation of complex medical equipment; ability to function as the subject matter expert in the field of biomedical engineering, directly supporting specialized clinical technology, including service, system administration, training, quality assurance, and life-cycle management; ability to effectively advise clinical and administrative staff on medical technology, including existing and emerging technology, which addresses viability, long-term suitability, compatibility, and/or safety; to apply project management principles to deployment of medical equipment and health information technologies.
• Demonstrated skill in in communicating and working collaboratively with key stakeholders, including technical and professional staff at various levels of the organization.
• Understanding of regulatory agencies’ requirements, industry regulatory requirements and International Standard Organization standards.

Eligibility:

Compensation:

Salary for this position is determined by various factors, including but not limited to, location, the candidate’s particular combination of knowledge, skills, competencies and experience, as well as contract specific affordability and organizational requirements. The proposed salary range for this position is outlined below.

Salary range: $115,000 - $130,000

We are offering a $5,000 signing bonus for those that are local to the facility OR for those that are willing to relocate, $5,000 relocation assistance

Blue Water Thinking offers a comprehensive benefits package including health insurance (medical, dental and vision), paid time off, federal holidays, and matching 401K plan.