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

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.

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.

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.

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.

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 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 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:

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

The Opportunity:

This role represents a unique opportunity to serve as a senior scientific and strategic leader within Cancer Immunology, with primary responsibility for driving the discovery and advancement of novel immuno-oncology targets and therapeutic modalities. We are seeking an accomplished leader who combines deep scientific expertise with strong people leadership to shape strategy, guide portfolio decisions, and advance high-impact discovery programs.

The successful candidate will lead a multidisciplinary team to progress innovative immuno-oncology programs from early discovery through Development Candidate nomination, while providing senior oversight of scientific integration across Discovery and Translational Cancer Immunology. This role reports to the Vice President and Head of Cancer Immunology and partners closely with Research and Development leadership to support portfolio prioritization and governance. Key aspects of the role include:

• Discovery Program Leadership & Protfolio Oversight: Provide executive-level leadership of Cancer Immunology discovery programs from project qualification through Development Candidate nomination. Drive the identification and validation of novel immuno-oncology targets, ensuring seamless progression of programs into Translational Cancer Immunology.

• Scientific Strategy & Platform Leadership: Define and evolve the scientific vision and long-term strategy for Cancer Immunology discovery. Provide senior oversight of the development and optimization of experimental platforms, including in vitro and in vivo models, phenotypic screening, and advanced assay toolkits. Champion the exploration and implementation of new therapeutic modalities, such as TCEs, ADCs, and bispecifics.

• Scientific Integration & Operational Excellence: Provide senior oversight of scientific integration across Discovery and Translational Cancer Immunology, ensuring operational rigor, platform support, and alignment of resources. Leverage enabling functions and data-driven insights to enhance experimental design, reproducibility, and program execution. Promote the development and deployment of modern data systems and analytics to advance scientific and operational excellence, enabling the establishment of a digitally empowered Cancer Immunology team within the broader organization.

• Cross-functional Collaboration: Act as a key partner to Research Leadership to support advancement of programs from early discovery into the clinical development portfolio. Foster collaboration across multidisciplinary teams to ensure that discovery efforts, platform capabilities including data platforms, and translational priorities are coordinated and integrated.

• Team Leadership & Mentorship: Lead, mentor, and inspire a multidisciplinary team of PhD and non-PhD scientists. Cultivate a culture of scientific excellence, innovation, and collaboration.

• External Engagement: Spearhead collaborations with academic partners and external organizations. Partner with key stakeholders to define publication strategies and support advancement of the company’s scientific reputation in the field.

Required Skills, Experience, and Education:

• Education & Scientific Expertise: Ph.D. in immunology, cancer biology, or a related discipline, with deep expertise in tumor immunology, immune-evasive oncogenic signaling pathways, and/or immunotherapy. Demonstrated track record of excellence in research, evidenced by high-impact publications.

• Industry Experience: 20+ years of post-PhD experience in biomedical research and oncology drug discovery, including substantial experience in biotech or pharmaceutical settings. Demonstrated leadership in oncology drug discovery and development, including experience with antibody-directed therapies such as T cell engagers, ADCs, or bispecific antibodies, is required. Experience setting early discovery strategy is highly desirable.

• Senior Leadership & Organizational Impact: Proven ability to lead complex, multidisciplinary organizations and influence across functions and levels. Demonstrated experience in portfolio decision-making, program governance, and developing scientific leaders.

• Strategic & Analytical Thinking: Enterprise-level strategic thinker capable of prioritizing initiatives, anticipating challenges, and executing effectively in a dynamic, high-energy environment. Rigorous, quantitative, and detail-oriented experimentalist.

• Collaboration & Communication: Thrives in a collaborative, interdisciplinary team setting. Excellent written and verbal communication skills, with the ability to influence and align diverse stakeholders.

Preferred Skills:

• Experience with chemistry-based therapies, including small molecules or ADC payloads.

• Familiarity with bioinformatics-driven discovery and integrating computational insights into experimental design.

• Demonstrated proficiency with modern data platforms, machine learning approaches, and advanced analytics to support Cancer Immunology research and decision-making.

• Prior experience as a Program Team Leader, with a track record of driving cross-functional strategy and execution across discovery and development stages.

 #LI-Hybrid  #LI-LN1

We’re looking for a Hardware R&D Research Intern to join our Research Operations team in San Francisco, with a dedicated focus on hardware research programs. Our Research Operations team designs and executes the human research studies that power Oura’s next-generation sensor development and scientific innovation and bolster our scientific credibility. The focus of the hardware research program is to develop and validate new features and continue to enhance the accuracy of our algorithms.

As a Hardware R&D Research Intern, you’ll support internal and external human research studies that help develop and validate new Oura hardware and sensing capabilities. You’ll get hands-on experience across the study lifecycle — from equipment prep and lab setup to data collection and data quality checks.

This is a full‑time summer internship based in San Francisco, CA, with on‑site work required 5 days/week for data collection and lab activities. The internship duration is 3–4 months, with flexible start and end dates between May and September 2026.

What you will do

• Support hardware‑focused human studies: Assist with 1-2 hardware and sensing research studies under the guidance of Research Coordinators and Research Project Managers.
• Prepare and maintain research equipment
• Assist with setting up research equipment for both internal and external hardware research studies.
• Perform equipment checks before sessions (battery status, firmware/app versions, connectivity, storage).
• Help track and organize research equipment inventory, including labeling, storage, and basic troubleshooting.
• Support study documentation and data quality checks
• Contribute to protocols, standard operating procedures (SOPs), and checklists for study visits and equipment handling
• Assess and flag quality concerns related to device signals (e.g., missing data, motion artifacts, device non‑wear, connectivity issues)
• Contribute to simple data review summaries (e.g., dashboards, spreadsheets) to monitor study progress
• Collaborate with cross‑functional partners (e.g., Research Operations, Hardware, Data Science) to keep documentation organized and up to date

Requirements:

We’d love to hear from you if you are a current undergraduate student who:

• Is studying biomedical engineering, electrical engineering, human biology, neuroscience, physiology, computer science, or a related field
• Has experience or coursework related to human subjects research, lab work, or experimental design
• Is excited about a future career in wearable technology, sensors, and hardware R&D
• Is comfortable working hands‑on with electronic devices and lab or test equipment
• Demonstrates strong attention to detail and a commitment to high‑quality documentation
• Is proficient with Google Workspace tools and comfortable using iOS and/or Android devices
• Is based in or able to be in San Francisco, CA for the summer and available for regular on‑site work for data collections

This is a paid opportunity to work with a dynamic team and gain valuable experience in the health tech industry. You will also receive an Oura Ring of your own to keep. Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Compensation range: Region 1: $33-$36/hr 

If you're interested in this opportunity, please submit your resume and cover letter for consideration.

The Opportunity:

As a Scientist II in the Cancer Pharmacology team within the Translational Research group, in the Biomedical Discovery Research Department, you will:

• Contribute to advancing RAS(ON) inhibitor programs by applying cancer pharmacology and tumor biology expertise, with a focus on mechanistic understanding of RAS biology.

• Design, execute, and interpret in vivo efficacy and PK/PD studies (internally and via CROs) to support forward and reverse translation of RAS(ON) inhibitors

• Collaborate with the cross-functional quantitative modeling group, providing data, biological context, and critical evaluation to support translational PK/PD modeling (no requirement for hands-on mathematical model experience).

• Analyze, interpret, and communicate data clearly to internal teams and external scientific audiences.

• Maintain high-quality documentation, protocols, and data integrity.

Required Skills, Experience and Education:

• Ph.D. in pharmacology or cancer biology, or a related discipline with direct relevance to oncology drug development.

• 2+ years of relevant postdoc or industry experience in cancer drug discovery and development.

• Solid knowledge of tumor biology and RAS signaling pathways

• Demonstrated experience in designing, executing and analyzing in vivo experiments with oncology disease models.

• Working knowledge of PK and PK/PD relationships, with the ability to analyze and interpret data.

• Rigorous and detail-oriented with proven excellence in experimental design, data analysis, data management, and presentation.

• Excellent written and verbal communication skills. Able to effectively communicate results to non-specialist and specialist audiences.

• Thrives in a collaborative team setting and is driven by a desire to be innovative in a dynamic and fast-paced environment.

Preferred Skills:

• Familiarity with RAS biology and RAS-targeted therapies

• Experience with designing and executing PKPD studies in tumor models.

• An understanding of preclinical to clinical translational concepts desired.

• Strong track record of research productivity as evidenced by high-quality, impactful publications.

• A strong theoretical understanding of the core concepts, assumptions, and limitations associated with PK/PD mathematical modeling.

#LI-Hybrid   #LI-NE1

About The Role

10x Genomics is establishing a diagnostics effort, translating our leading single-cell and spatial assay technologies into impactful clinical applications. We are seeking a Scientist II to join the clinical bioinformatics team. The ideal candidate excels at distilling complex biological questions into actionable computational strategies, implementing computational/statistical methods and applying them to large-scale single-cell or spatial transcriptomics datasets to derive clinically meaningful insights.

The role requires a biology-first mindset, proficiency with large-scale bioinformatics analyses, strong scientific acumen and statistical rigor. The successful candidate will have an opportunity to work with some of the largest biomedical datasets assayed using cutting-edge 10x Genomics technologies, deriving clinical insights that power the next generation of clinical diagnostics.

What You Will Be Doing:

• Implement rigorous computational/statistical methods for single-cell and spatial transcriptomics data analysis.
• Derive actionable insights from clinical/translational single-cell or in-situ spatial datasets.
• Design, implement and validate biomarkers for diagnostic applications.
• Implement and maintain bioinformatics pipelines for reproducible, large-scale data processing.
• Process and analyze single-cell or in-situ spatial transcriptomics datasets spanning hundreds to thousands of samples.

To Be Successful, You Will Need:

• Ph.D. in bioinformatics, computational biology, genomics or a related discipline with extensive hands-on experience in single-cell NGS data analysis.
• A minimum of 2 years of industry experience post Ph.D.
• Experience analyzing large-scale single-cell or spatial transcriptomics datasets to derive biologically meaningful insights and/or diagnostic biomarkers.
• In-depth understanding of the assumptions, limitations and caveats of statistical methods.
• Experience developing and optimizing high-performance, scalable code.
• Proficiency working in a Linux environment.
• Goal-oriented, self-motivated and an independent problem solver.
• Meticulous attention to detail and a conscientious work ethic.

Preferred Skills

• Hands-on experience with 10x Genomics single-cell and in-situ transcriptomics technologies is a strong preference
• Hands-on research experience in cancer or autoimmune diseases is a strong preference
• Knowledge of clinical genomics, biomarker discovery and diagnostics
• Development of statistical models and algorithms for single-cell or spatial transcriptomics data
• Application of machine learning, particularly in the context of genomics
• Proficiency with workflow orchestration frameworks such as Snakemake, Nextflow or Martian
• Programming best practices including data analysis reproducibility, version control, design patterns, testing, debugging and profiling
• Track record of writing production-level code or maintaining published software packages
• High-throughput computing infrastructure such as HPCs or cloud computing

The Opportunity:

We are seeking a highly motivated and scientifically rigorous Director of Biostatistics to our Medical Analytics and Exploratory Data Science Biostatistics group. This role will provide strategic and hands-on statistical leadership for exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) initiatives. The successful candidate will serve as a key statistical leader and individual contributor, partnering closely with cross-functional teams to generate high-quality evidence that advances our oncology pipeline and supports medical and scientific strategy.

• Provide statistical leadership for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

• Serve as a primary statistical contact for assigned projects, working collaboratively with clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial.

• Lead the design, analysis, and interpretation of complex statistical models, including survival analysis, machine learning, and casual inference methodologies.

• Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

• Manage relationships with external partners, such as contract research organizations (CROs), ensuring adherence to timelines, budgets, and quality standards.

• Mentor and provide technical guidance to junior statisticians, fostering scientific rigor, innovation, and professional growth.

• Contribute to regulatory and payers/HTA agencies interactions, scientific publications, abstracts, and internal decision-making through clear and effective communication of statistical results.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 8 years (for Ph.D.) and 12 years (for M.S.) of experience in biotech/pharma industry as a statistician.

• Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

• Hands-on experience in exploratory analysis of oncology trials.

• Proven ability to independently lead statistical aspects of complex, cross-functional projects.

• Strong understanding of regulatory requirements related to biostatistical activities and clinical trials.

• Excellent verbal and written communication skills are required.

• Excellent interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

• Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

  #LI-Hybrid  #LI-SH1

The Opportunity:

We are seeking a highly capable Associate Director of Biostatistics to join our Medical Analytics and Exploratory Data Science Biostatistics group within our Biostatistics organization. This role will play a critical part in the design, analysis, and interpretation of exploratory data analyses, scientific publications, real-world evidence (RWE), post-marketing research, and health economics and outcomes research (HEOR) studies. The successful candidate will serve as a key statistical contributor and emerging leader, partnering closely with cross-functional teams to deliver high-quality, data-driven insights that support scientific understanding and evidence generation.

• Lead statistical design, analysis, and interpretation for exploratory data analyses using existing clinical trial data, real world data studies, post-marketing research, and HEOR projects.

• Partner closely with other subfunctions within quantitative sciences and with cross-functional teams, including clinical development, medical affairs, safety, statistical programming, regulatory affairs and commercial, to execute evidence generation plans.

• Apply appropriate statistical methodologies, including survival analysis, machine learning, and casual inference approaches, to address complex scientific and medical questions in oncology.

• Contribute to the development of analysis plans, technical specifications, and interpretation of results under general direction from senior statistical leadership.

• Support cross-functional evidence generation planning by providing statistical input into study design, feasibility, and analysis strategies.

• Review and oversee statistical deliverables produced by internal programmers or external vendors/contractors to ensure scientific quality and consistency with standards.

• Contribute to and implement policies, standards, and procedures to ensure consistency and quality in statistical practices.

• Assist with the preparation of scientific communications, including abstracts, manuscripts, posters, and internal presentations.

Required Skills, Experience and Education:

• Ph.D. or M.S. in Statistics/Biostatistics, a minimum of 5 years (for Ph.D.) and 8 years (for M.S.) of experience in biotech/pharma industry as a statistician.

• Solid knowledge of statistical methodologies for oncology, including survival analysis and causal inference.

• Hands-on experience in exploratory analysis of oncology trials.

• Ability to work independently and within a team.

• Ability to independently execute statistical analyses for moderately complex projects with guidance from senior statisticians.

• Familiar with regulatory requirements related to biostatistical activities and clinical trials.

• Strong verbal and written communication skills are required.

• Strong interpersonal and project management skills are essential.

• Proficiency in SAS and/or R.

Preferred Skills:

• Knowledge of RWD and health economics and outcomes research (HEOR) in oncology is a plus.

• Familiarity with machine learning or advanced modeling approaches applied to biomedical or observational data. 

  #LI-Hybrid  #LI-SH1

The Opportunity:

As an Executive Director and Head of Research Computational Biology within our Biology Function, the individual will oversee the scientific and strategic direction of systems biology research and preclinical computational biology initiatives. The individual will lead a team of computational biologists and bioinformaticians focused on acquisition, organization, and analysis of large multi-omics data sets, using both public and proprietary data sources, that will help inform treatment strategies and guide patient stratification for a growing pipeline of RAS(ON) and targeted oncology therapeutics. We are looking for an experienced leader with strong interpersonal skills and an ability to lead a strong and diverse computational biology team. Key aspects of the role include:

• Strategic vision and leadership: Develop and implement a long-term strategy for research systems biology and bioinformatic activities to support a growing pipeline of RAS(ON) and novel targeted inhibitors. Lead and supervise a team of experienced computational biologists and bioinformaticians to generate, organize, and interpret large data sets to inform therapeutic and combination strategies for patients with cancer.

• Cross-functional collaboration across research, translational, development and medical affairs groups: Work across functions to support advancement of programs from early discovery into clinical development using biological insights derived from computational approaches. Additionally, leverage clinical data from RVMD investigational agents to generate proprietary insights into RAS mutant tumor biology and RVMD RAS(ON) inhibitor mechanisms of action.

• Technical leadership and innovation: Lead a team analyzing large, high-dimensional datasets. Work with colleagues in Information Sciences and Information Systems to oversee data integration, analysis and visualization using cloud-based platforms (AWS, Azure, GCP). Direct the development and application of cutting-edge statistical analysis, AI/ML methods, generative AI models, and MLOps principles to elucidate findings and generate new insights related to biomarker discovery, drug target identification, and predictive modeling. Establish and implement modern workflow management systems (Snakemake, Nextflow) and reproducible research practices.

• External collaboration: Cultivate and manage academic and industry collaborations, including CRO partnerships. Represent the company at scientific conferences through presentations and thought leadership. Maintain an active publication record in high-impact, peer reviewed journals. Drive intellectual property strategy and patent filings related to computational discoveries.

Required Skills, Experience and Education:

• Education: A Ph.D. in systems biology, computational biology, bioinformatics, or a related biological or biomedical discipline.

• Experience: Minimum of 15+ years total experience with significant pharmaceutical/biotechnology industry and management experience.

• Scientific knowledge: Deep expertise in systems biology, computational biology, and bioinformatics, including proficiency with multi-omics data integration, modeling, and analysis. Experience with single-cell technologies, spatial transcriptomics, proteomics, and epigenomics. Oncology research experience preferred but not required.

• Technical: Advanced programming skills in R, Python, and at least one additional language (Perl, C/C++, Java). Proficiency with high-performance computing (HPC) and cloud platforms (AWS, Azure, or GCP). Knowledge of workflow management tools and version control systems. Understanding of MLOps principles, model deployment, and generative AI applications in drug discovery.

• Leadership and management: Demonstrated ability to lead, mentor, and inspire interdisciplinary teams while fostering a collaborative culture. Experience managing budgets and strategic planning at the department level. Proven track record of advancing research programs from discovery through development.

• Strategic thinking: Proven strategic thinker who can align research and drug development objectives and leverage innovative technologies effectively.

• Communication: Excellent communication and presentation skills for interacting with technical teams, senior leadership, and external partners. #LI-Hybrid  #LI-GL1

The Opportunity:

The Translational Sciences Intern will support the Translational Sciences team in advancing programs that connect preclinical discovery with clinical development. This role provides exposure to how Translational Research integrates molecular biology, pharmacology, biomarker discovery, and clinical data to inform therapeutic development in precision oncology. The intern will gain insight into how translational strategies are developed to understand drug mechanisms, identify biomarkers of response and resistance, and guide clinical trial design. This position is ideal for a student interested in translational cancer research and the interface between laboratory science and clinical application. The role focuses on learning, analysis, and cross-functional collaboration within a multidisciplinary drug development environment.

This role provides the opportunity to learn some or all the following, depending on project assignments and team needs.

• How translational research supports the development of targeted therapies in oncology.

• How biomarker strategies are developed to support clinical trials and precision medicine approaches. • How preclinical data are integrated with clinical observations to understand mechanisms of response and resistance.

• How cross-functional teams across discovery biology, pharmacology, clinical development, and bioinformatics collaborate in drug development.

• How experimental and clinical datasets are analyzed and interpreted to generate translational insights.

• How translational scientists communicate complex scientific findings to multidisciplinary teams.

Required Skills, Experience and Education:

• Strong analytical, critical-thinking, and problem-solving skills.

• Ability to interpret scientific literature and synthesize complex scientific information.

• Strong written and verbal communication skills.

• Interest in oncology, molecular biology, or translational research.

• Organized, detail-oriented, and able to work independently with guidance.

• Professional curiosity and willingness to learn new concepts.

• Pursuing a bachelor’s or master’s degree in a STEM field (e.g., biology, biochemistry, molecular biology, biomedical engineering, or related discipline).

Preferred Skills:

• Coursework or research experience in cancer biology, molecular biology, or pharmacology.

• Familiarity with biomarker concepts or translational research approaches.

• Experience with basic laboratory techniques or biological data analysis.

• Experience preparing scientific presentations or summarizing research findings.

• Interest in precision medicine and targeted cancer therapies. 

  #LI-Hybrid  #LI-AP1

About the Role

Reporting to the Sr. Director, Pharmaceutical Sciences, the Associate Director, Pharmaceutical Sciences (Drug Delivery) will lead and execute innovative drug delivery and formulation strategies to support pre-IND product development, candidate selection, and novel delivery platform advancement. The incumbent will drive scientific and technical direction for formulation & delivery approaches across modalities, strengthen the company’s IP portfolio, and collaborate with cross-functional teams (Innovation Lab, Translational Sciences, Pharmaceutical Development, Analytical Development) to enable successful transition from concept to candidate selection.

Let’s talk about some of the key responsibilities of the role:

• Develop and lead delivery sciences strategy for new and emerging modalities (small molecules, biologics, peptides)
• Identify white space opportunities and contribute to invention disclosures and patent strategy in partnership with IP counsel.
• Evaluate competitive landscape and emerging delivery technologies to inform internal innovation strategy.
• Design, execute, interpret laboratory results to develop and optimize novel drug delivery systems, and define data-driven next steps to drive platform development.
• Generate formulation and delivery approaches to enable pre-clinical animal models.
• With the Translational Sciences team interpret in vitro and in vivo data (PK/PD, bio-distribution, tolerability) to refine and prioritize delivery strategies.
• Represent delivery sciences in program governance and external partnerships.
• Serve as scientific lead for external CRO partnerships.
• R&D project budget planning and budget management.
• May perform other related duties as required and/or assigned.

Factors for Success:

• Ph.D. in Pharmaceutical Sciences, Chemical Engineering, Biomedical Engineering, or related field.
• Minimum of 8 years of relevant experience in drug delivery and developing novel drug delivery platforms from concept through preclinical validation.
• Experience managing CROs and external research collaborations.
• Strong experimental design, data interpretation, and problem-solving skills.
• Track record of platform innovation and contribution to patents in drug delivery.
• Excellent communication skills with ability to present complex technical concepts clearly to diverse stakeholders.
• Strong leadership skills and experience in cross-functional project leadership.
• Tarsus Competencies:
  • Decision Making - Demonstrates strong decision-making by applying structured analysis to complex challenges, balancing competing priorities and long-term impacts while engaging stakeholders and driving solutions aligned with organizational goals.
  • Collaboration and Team Building - Promotes collaboration by aligning diverse teams around shared goals, fostering healthy debate to advance outcomes, and building strong networks that strengthen organizational effectiveness and cross-team learning.
  • Outcome Driven - Demonstrates strong outcomes focus by aligning teams around shared priorities, proactively addressing risks and dependencies, and driving cross-functional accountability to sustain progress and deliver results.

 A Few Other Details Worth Mentioning:

• The position will be based in our beautiful Irvine office, complete with onsite gym, pool, snacks, drinks, and occasional catered meals. We provide a hybrid work environment.
• We are passionate about our culture! Our Tarsans live our values of commitment to patients, empowerment to champion innovation, and teamwork to amplify impact!
• This position reports directly to our Sr. Director, Pharmaceutical Sciences.
• Some travel may be required – up to 20%.

At Tarsus, we understand the importance of attracting and retaining top talent. The expected base pay range for this position is $150,000 - $210,000 plus bonus, stock equity, and comprehensive benefits. The base pay range reflects the target range for this position, but individual pay will be determined by additional factors such as job-related skills, experience and relevant education or training. Our benefits include health, dental and vision insurance benefits to ensure your well-being. We believe in work-life balance and offer generous paid time off, including vacation, holidays, and personal days. For more details regarding Tarsus benefits, please visit: https://eb.alliant.com/26tarsusbenefitssnapshot.

#LI-Hybrid

What you’ll do:

• Design and build reliable automated test equipment to conduct functional tests on PCBAs or modules.
• Work together with Design Engineers, System Engineers, and Reliability Engineers to Identify design critical operating modes and create design validation test plans.
• Work with test technicians to build validation test setups and execute test plans and teardowns.
• Investigate device failures to determine root cause and drive product improvements.
• Identify and plan critical tests to validate new technologies.  

What you’ll need:

• Bachelor or MS degree in Electrical Engineering or equivalent experience.
• 2+ years of experience with physical testing and analysis of mechanical or electronic systems against detailed requirements. 
• 2+ years of direct automation design and build experience (automated testing, manufacturing, robotics, industrial etc.)
• Experience leading and driving technical projects to completion.
• Good understanding of electrical circuit design and  power electronics.
• Experience with Python and NI(LabVIEW, TestStand, or VeriStand).
• Experience with electrical test equipment, hand tools, power tools. 

Bonus Qualifications:

• 2+ years of experience with component, system, or vehicle validation testing (FAA DO160, Biomedical FDA testing, or equivalent.) 
• Good Electrical Engineering Background (active circuit design, power electronics, digital circuits, motor drives, signal measurement and conditioning)
• Experience working with interdisciplinary teams across an organization.
• Strong communicator and presenter of technical content.
• Experience using CAD software to create basic fixtures.
• Experience with HV systems and safety.
• Experience with integrated system communication protocols (CAN, Ethernet, RS485 etc.)

About this Role

As Director, Mechanisms Engineering - Pharmaceutical Payloads at Varda, you will build and lead the team responsible for Varda's in-orbit pharmaceutical manufacturing payloads—the core of Varda's commercial business. This role combines deep technical authority with team leadership, product definition, and development execution responsibility. You will own the successful development and flight of precision electromechanical fluid-handling systems that process and crystallize pharmaceutical compounds in microgravity—then survive hypersonic reentry and return to Earth for product recovery and hardware iteration. The payloads your team designs, builds, and flies will directly determine whether in-space pharmaceutical manufacturing becomes a commercial reality.

You will build and grow a team of payload engineers responsible for individual pharmaceutical payload missions while also owning the technical definition and evolution of Varda's pharma payload product line. This includes defining the system architecture, fluid system design philosophy, and development approach, and establishing the engineering standards and processes that enable reliable execution as Varda scales in both cadence and scope.

You'll expand Varda's pharmaceutical payload capability to a scaled, repeatable product line—building the team, technical standards, and development processes to get there.

This role is ideal for a technically exceptional leader who wants to build an elite team and own the first ever industrial manufacturing capability in space from strategy through execution.

Responsibilities

• Build and lead a team of payload engineers, each responsible for executing individual pharmaceutical payload missions
• Mentor engineers and develop future technical and people leaders
• Own the pharmaceutical payload development roadmap—expanding Varda's pharmaceutical product portfolio, driving design iteration from flight data, and scaling mission cadence
• Own pharmaceutical payload engineering execution against company goals and customer contracts, including schedule, cost, and technical performance
• Manage a portfolio of concurrent payload development efforts and recurring mission executions, ensuring schedule, technical performance, and engineering quality across the portfolio
• Define and maintain standards for payload design, analysis, integration, testing, mission execution, documentation, and project management
• Work closely with avionics, software, thermal, systems, integration, and vehicle teams to define payload interfaces and constraints
• Standardize processes for environmental test campaigns, mission operations, post-flight hardware inspection, and anomaly resolution
• Drive continuous improvement through lessons learned and feedback from flight programs

Basic Qualifications

• BS/BEng in Mechanical, Aerospace, Biomedical, Mechatronics, or a related engineering discipline
• 10+ years of experience designing, integrating, testing, and delivering complex electromechanical hardware involving precision fluid handling
• 3+ years of experience leading teams through full-cycle hardware development
• Experience with electromechanical fluid systems in high-reliability or extreme environments (space, life support, medical devices, semiconductor process equipment, bioprocess systems)
• Breadth across at least two adjacent hardware disciplines (e.g., avionics, mechanisms, software, structures, thermal, optics, test, etc.)
• Demonstrated ability to set technical direction and deliver results through other engineers
• Track record managing multiple concurrent engineering development efforts
• Experience establishing and enforcing technical and programmatic standards across teams
• Exceptional communication ability with diverse technical and executive audiences

Preferred Skills and Experience

• Professional or academic exposure to chemical engineering, biomedical engineering, or a related process engineering discipline
• Experience building, scaling, or managing hardware engineering teams
• Experience owning technical roadmaps or standardized hardware product offerings
• Experience developing or operating hardware for pharmaceutical, bioprocess, or sterile/cleanroom manufacturing applications
• Familiarity with microgravity fluid behavior, capillary-driven flows, or two-phase fluid management
• Familiarity with cGMP principles or regulated hardware environments
• Significant experience planning and executing environmental testing (vibration, TVAC, EMI/EMC)

Pay Range

• Salary range: $200,000 - $250,000/per year
• This role is on-site in El Segundo, CA
• Leveling and base salary is determined by job-related skills, education level, experience level, and job performance
• You will be eligible for incentives in the form of stock options and/or long-term cash awards

We are looking for a highly motivated Senior Field Application Scientist to join our team! 

This is a full time onsite position at our Fremont, CA location.

How You’ll Contribute

• Empower customers by guiding application development efforts that unlock the full potential of our technology platform
• Deliver expert training to customers on the latest processes, kits, and instrumentation, empowering them for success
• Lead troubleshooting efforts and collaborate with internal experts to ensure fast, effective resolution of customer issues
• Take ownership of customer issues by documenting, resolving, and escalating cases promptly and professionally to ensure customer satisfaction
• Partner with sales to deliver technical and market guidance across the customer journey, including the design and execution of pilot experiments that enable successful technology adoption
• Collaborate cross-functionally with sales and marketing to develop and present engaging, high-impact product demonstrations and technical content
• Represent the company at customer sites and scientific conferences, serving as a technical ambassador for our solutions
• Other duties as assigned

Qualifications, Skills, Knowledge & Abilities

• Degree in Molecular Biology, Biochemistry, Biology, Biotechnology, Biomedical Engineering, or a closely related field, with extensive laboratory experience across multiple life science platforms, particularly in next-generation sequencing (NGS)
• BS with 8+ years of relevant experience, MS with 5+ years, or PhD with 3+ years of related experience
• Hands-on experience and a strong working knowledge of next-generation sequencing (NGS) library preparation workflows, including sample handling, quality control, and optimization across diverse input types
• Experience in the development of biomedical or scientific instruments and in the generation and/or analysis of genomic data
• Demonstrated ability to balance long-term strategic goals with short-term deliverables
• Self-driven and highly motivated, with the ability to operate with urgency, ownership and accountability in a fast-paced, collaborative, multidisciplinary startup environment
• Meticulous attention to detail and the ability to follow complex operating procedures accurately
• Excellent organizational and problem-solving skills, with a commitment to high-quality results
• Strong communication, presentation, and relationship-building skills
• Experience teaching, training, or mentoring peers or customers
• Willingness to travel up to 50% of the time and reside within one to two hours of a major airport. Travel includes field support with sales, customer meetings, and participation in trade shows and conferences

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $120,000 and $150,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.  This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

#LI-Onsite

POSITION OVERVIEW:
We are seeking a Sr. Fill–Finish Process Engineer with strong experience in aseptic pharmaceutical or biologics manufacturing to support the capital project buildout of a new fill–finish suite within a commercial manufacturing facility. The ideal candidate has hands-on expertise in formulation, sterile filtration, aseptic filling, lyophilization, capping, inspection processes, and associated equipment technologies, along with a strong understanding of GMP operations and regulatory expectations. This position partners closely with operations, QA, validation, MS\&T, engineering, and supply chain to ensure robust, compliant, and continuously improving manufacturing performance.

We are actively seeking qualified candidates to join our talent pipeline for future client engagements.  

WORK LOCATION:
Travel to client sites may be required up to 100% based on project phase and client needs.

KEY RESPONSIBILITIES:
(This list is not exhaustive and may be adjusted as needed.)

• Support design, construction, installation, and qualification of a new commercial fill–finish suite, including cleanrooms, process utilities, and supporting infrastructure.
• Contribute to user requirement development, equipment specifications, vendor evaluations, and design reviews.
• Support FAT/SAT, commissioning, and qualification activities for fillers, isolators or RABS, lyophilizers, depyrogenation tunnels, autoclaves, CIP/SIP systems, formulation vessels, sterile filtration skids, and inspection machines.
• Conduct field walkdowns, verify installation details, and ensure alignment with drawings, P\&IDs, and GMP requirements.
• Serve as subject matter expert for fill–finish operations including formulation, filtration, filling, lyophilization, capping, and visual inspection.
• Partner with Operations and MS\&T to troubleshoot and resolve technical issues.
• Collaborate with Maintenance and Reliability teams to address equipment performance gaps.
• Support continuous improvement and process optimization initiatives.
• Partner with QA, Validation, and MS\&T to maintain validated state of aseptic manufacturing processes.
• Ensure alignment with regulatory requirements including FDA, EMA, ICH, and Annex 1.
• Support continued process verification (CPV), annual product review (APR/PQR), and ongoing process monitoring.
• Author, review, and approve GMP documentation, including batch records, SOPs, change controls, CAPAs, deviations, and technical reports.
• Generate and maintain engineering lifecycle documentation including impact assessments, URS/FRS documents, FAT/SAT packages, and turnover packages.
• Develop and execute commissioning and qualification protocols.
• Utilize systems such as building management systems, process control systems, and computerized maintenance management systems. Experience with digital validation platforms such as KNEAT is a plus.
• Ensure all work complies with GMP standards, safety expectations, and regulatory guidelines
• Coordinate across engineering, operations, facilities, quality, and validation to ensure successful project execution.
• Participate in project planning, scheduling, risk assessments, and milestone tracking.
• Provide effective communication to stakeholders at all levels.

QUALIFICATIONS AND REQUIREMENTS:

Education

• Bachelor’s or Master’s degree in Chemical, Mechanical, Biomedical, Pharmaceutical Engineering or a related technical field.

Experience

• Typically 7 or more years of experience in GMP pharmaceutical or biotech manufacturing.
• Strong preference for sterile, aseptic, biologics, or vaccine fill–finish experience.
• Experience supporting commercial manufacturing operations in a regulated environment.
• Experience with commissioning, qualification, and engineering documentation.

Knowledge, Skills, and Abilities

• Strong understanding of aseptic operations, cleanroom environments, and fill–finish equipment.
• Strong documentation and technical writing skills.
• Ability to manage multiple priorities in a fast-paced environment.
• Strong communication, analytical, and problem-solving skills.
• Ability to work independently and collaboratively.

ESSENTIAL FUNCTIONS:

Physical Demands: 

The physical demands described here are representative of the requirements that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee is regularly required to use a computer keyboard and mouse; reach with hands and arms; talk and listen. The employee is frequently required to walk and sit, as well as to lift and carry objects such as books and files weighing up to 25 pounds. The employee is occasionally required to stand, stoop, or kneel. Specific vision abilities required by this position include close vision and the ability to adjust focus. 

Work Environment: 

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job, including moderate noise level, an indoor temperate environment, and light levels that are bright and conducive to minimal eye strain, typical for an office environment. 

TOTAL REWARDS PROGRAM:

We define total rewards as compensation, benefits, remote work/flexibility, development, recognition, and our culture with programs that support each of our reward pillars. This includes a market competitive base salary and annual incentive plan, robust benefit offerings, and ongoing recognition and career development opportunities. Employees also enjoy our generous flexible paid time off program, company-paid holidays, flexible working hours, and fully remote work options for most positions and the ability to work “almost anywhere.” However, if a physical work location is more for you, we have office locations in Greater Boston; San Diego, CA; Boulder, CO; and India.

Currently, Syner-G is unable to sponsor or take over sponsorship of an employment Visa at this time. 

LEGAL STATEMENT:
 
Syner-G is proud to be an Equal Employment Opportunity and Affirmative Action employers. All employment decisions, including the recruiting, hiring, placement, training availability, promotion, compensation, evaluation, disciplinary actions, and termination of employment (if necessary) are made without regard to the employee’s race, color, creed, religion, sex, pregnancy or childbirth, personal appearance, family responsibilities, sexual orientation or preference, gender identity, political affiliation, source of income, place of residence, national or ethnic origin, ancestry, age, marital status, military veteran status, unfavorable discharge from military service, physical or mental disability, or on any other basis prohibited by applicable law. Syner-G is an E-Verify employer. 

As the Senior Device Quality Engineer, you will serve as a key technical lead for software quality and design excellence. You will bridge the gap between rapid Agile development and rigorous medical device regulations, ensuring that our digital health solutions—including Software as a Medical Device (SaMD) and AI/ML-enabled technologies—are safe, secure, and compliant.

Your core responsibility will be the hands-on management of the end-to-end design control process within Heartflow’s Software Development Lifecycle (SDLC). You will ensure that software architecture, security, and global regulatory requirements are integrated into every release.

Key Responsibilities

Technical Leadership

• Standards Execution: Apply global regulatory standards, including IEC 62304, IEC 82304, ISO 14971, ISO 13485, and AAMI TIR45, to daily development activities.
• SDLC Support: Implement validation frameworks for AI/ML, Cloud Infrastructure (SaaS), and Cybersecurity (ISO 81001-5-1) within the Quality Management System (QMS).
• Agile Integration: Partner with engineering teams to execute "Compliance at Speed," ensuring Agile sprints meet all regulatory rigor and result in high-quality, predictable releases.

Design Quality & Risk Management

• Design Reviews: Participate in software architecture reviews to ensure the implementation of safety-by-design and privacy-by-design principles.
• Risk Analysis: Facilitate and document comprehensive risk management activities, including Hazard Analysis, Fault Tree Analysis (FTA), and Software FMEAs.
• V&V Execution: Act as the lead for Software Verification and Validation (V&V); develop and execute test strategies, protocols, and reports to ensure product performance.

Execution & Compliance

• DHF Ownership: Manage the Design History File (DHF) from concept to commercialization, ensuring all documentation is audit-ready and design transfer is seamless.
• Audit Support: Support the organization during internal and external audits (e.g., FDA, Notified Body, MDSAP) as a subject matter expert for software processes.

Cross-Functional Collaboration

• Technical Documentation: Support Regulatory Affairs in authoring technical files for global submissions, including FDA (510k/De Novo), PMDA, and EU-MDR.
• Team Guidance: Provide technical coaching and quality training to R&D and Product teams to foster a culture of compliance.

Skills Needed

• Strong critical thinking skills and great attention to detail.
• Ability to work as a self-starter in a fast-paced, adaptive environment.
• Excellent communication, documentation, and time management skills.

Educational Requirements & Work Experience

• Bachelor’s degree in Software Engineering, Computer Science, Biomedical Engineering, or a related technical field is required.
• 5–8 years of experience in quality engineering or product development within the medical device industry.
• Certifications (Preferred): ASQ Certified Quality Engineer (CQE), Certified Software Quality Engineer (CSQE), or Green Belt.

This position has an estimated base salary of $160,000 - $180,000, bonus. #LI-IB1; LI-Hybrid

As the Senior Manager, Device Quality Engineering, you will lead the global strategy for software quality and design excellence. You will be responsible for building and managing a high-performing team that bridges the gap between rapid Agile development and rigorous medical device regulations. Your leadership ensures that our digital health solutions—including Software as a Medical Device (SaMD) and AI/ML-enabled technologies—are safe, secure, compliant, and scalable.

Your core responsibility will be the strategic oversight of the end-to-end design control process within the Software Development Lifecycle (SDLC). You will define the roadmap for compliance, security-by-design, and global regulatory readiness while mentoring the next generation of quality engineering leaders.

Key Responsibilities

Strategic Leadership & Team Management

• Departmental Authority: Serve as the primary leader and organizational authority on global regulatory standards, including IEC 62304, IEC 82304, ISO 14971, ISO 13485, and AAMI TIR45.
• QMS Roadmap: Drive the evolution of the Quality Management System (QMS), establishing the vision for validation frameworks involving AI/ML, Cloud Infrastructure (SaaS), and Cybersecurity (ISO 81001-5-1).
• People Leadership: Recruit, mentor, and develop a team of quality engineers, fostering a culture of "Compliance at Speed" through Agile best practices.
• Release Accountability: Ensure predictable, complete, and high-quality releases by managing resource allocation and departmental throughput.

Design Quality & Risk Governance

• Architectural Oversight: Direct the review of software architecture to ensure the implementation of safety, security-by-design, and privacy-by-design across all product lines.
• Risk Management Governance: Oversee comprehensive risk management activities, ensuring consistency across Hazard Analysis, Fault Tree Analysis (FTA), and FMEAs for software-driven failure modes.
• V&V Strategy: Act as the final authority for Software Verification and Validation (V&V) strategies; ensure protocols and reports meet the highest standards of robust product performance.

Execution & Compliance

• DHF Lifecycle Management: Ensure organizational compliance from concept to commercialization by governing the Design History File (DHF) and design transfer processes.
• Audit Leadership: Lead the organization’s representation during internal and external audits and inspections (e.g., FDA, Notified Body, MDSAP).

Cross-Functional Collaboration

• Regulatory Partnership: Partner with Regulatory Affairs leadership to strategize and approve technical documentation for global submissions, including FDA, PMDA, and EU-MDR.
• Executive Influence: Provide technical guidance and status updates to R&D, Product, and Program Management executives.

Skills Needed

• Leadership Excellence: Proven ability to manage teams, develop talent, and influence cross-functional stakeholders.
• Strategic Thinking: Strong critical thinking skills with the ability to balance long-term quality goals with immediate business needs.
• Adaptability: Ability to lead a department in a fast-paced, adaptive environment.
• Communication: Exceptional communication and documentation skills, with the ability to translate complex technical risks into business impact.

Educational Requirements & Work Experience 

• Education: Bachelor’s degree in Software Engineering, Computer Science, Biomedical Engineering, or a related technical field is required; a Master’s degree or MBA is strongly preferred.
• Experience: 12+ years of experience in quality engineering or product development within the medical device industry, including 3-5 years in a formal management or leadership role.
• Certifications (Preferred): ASQ Certified Manager of Quality/Organizational Excellence (CMQ/OE), Certified Software Quality Engineer (CSQE), or Six Sigma Black Belt.

This position has an estimated base salary of $195,000 - $250,000, bonus, and equity. #LI-IB1; LI-Hybrid

As the Principal Risk Quality Engineer, you will own the product Risk Management process and will serve as the global subject expert (SME) for Product Safety and Risk Management. You will be the architect of the risk lifecycle, ensuring that our digital health solutions—including SaMD and AI/ML-enabled technologies—are designed with a "Safety-First" mindset.

Your core responsibility will be leading the end-to-end Risk Management process (ISO 14971), from initial Hazard Analysis through Post-Market Risk surveillance, ensuring that clinical risks are identified, mitigated, and verified before reaching a patient.  As a global SME of Risk Management, you will train and coach teams on Risk Management and work collaboratively with cross functional engineers and Quality team members.  

Key Responsibilities

Strategic Leadership

• Risk Governance: Act as the primary authority on global risk standards, including ISO 14971, IEC 62304 (Risk focus), and ISO/TR 24971.
• Safety Architecture: Define the framework for evaluating risk in AI/ML (algorithmic bias/drift), Cloud Infrastructure, and Cybersecurity (AAMI SW96/TIR57).
• Cybersecurity:  Partner with Cybersecurity team to evaluate and address cybersecurity related risks and ensure processes adhere to U.S. and international standards and guidance documents.  
• Risk Culture: Lead cross-functional "Safety-by-Design" workshops, ensuring engineering and product teams understand the clinical impact of technical failures.

Design Quality & Risk Management

• Advanced Risk Modeling: Lead and facilitate comprehensive risk activities, including Hazard Analysis, Fault Tree Analysis (FTA), and FMEAs (System, Design, and Software).
• Benefit-Risk Analysis: Partner with Clinical Affairs to author Benefit-Risk Assessments (BRA) for global regulatory submissions.
• V&V Alignment: Ensure that the Software Verification & Validation (V&V) strategy is directly driven by the Risk Management File (RMF), ensuring all mitigations are rigorously tested.

Execution & Compliance

• Risk Management File (RMF) Ownership: Drive the creation and maintenance of the RMF from concept through commercialization, ensuring a "living document" approach.
• Post-Market Risk Surveillance: Lead the review of field performance data and complaints to update risk assessments and trigger Corrective and Preventive Actions (CAPA) when necessary.
• Health Hazard Evaluations (HHEs): Lead necessary HHE activities related to quality and safety issues.    
• Audit Representation: Serve as the global SME, defending the technical integrity of the Risk Management process and files and technical safety justifications during FDA, Notified Body, and MDSAP inspections.

Cross-Functional Collaboration

• Clinical Collaboration: Bridge the gap between technical software failures and clinical harms by working closely with Medical Affairs.
• Regulatory Submissions: Provide critical risk-based evidence for FDA 510(k)/PMA and EU-MDR technical files.

Skills Needed

• Mastery of Risk Estimation, Evaluation, and Control methodologies.
• Strong critical thinking skills with the ability to visualize complex system-level failure modes.
• Ability to translate technical software bugs into potential clinical patient harms.

Educational Requirements & Work Experience 

• Bachelor’s degree in Biomedical Engineering, Systems Engineering, or a related technical field; Master’s degree strongly preferred.
• 10+ years of experience in Risk Management or Quality Engineering within the medical device industry.
• Certifications (Preferred): ASQ Certified Risk Management Professional, Six Sigma Black Belt, or ISO 14971 Lead Auditor.

This position has an estimated base salary of $185,000 - $240,000, bonus, and equity. #LI-IB1; LI-Hybrid

We are seeking a hands-on, detail-oriented Hardware Engineer / Life Cycle Engineer to support automated bioassay platforms and maintain production processes, systems and machinery to ensure efficient, quality product manufacturing. Candidate should have a strong focus on Hamilton liquid handling systems used in complex bioconjugation workflows. This role is critical to ensuring instrument reliability, minimizing downtime, and supporting manufacturing through effective troubleshooting, maintenance, and lifecycle management. The ideal candidate combines technical depth with strong problem-solving skills and thrives in a fast-paced, dynamic environment.

Core Responsibilities

• Perform advanced troubleshooting on Hamilton liquid handling systems supporting complex bioconjugation assays, including root cause analysis and issue resolution.
• Execute and document routine maintenance, calibration, and repair of Hamilton instruments to ensure optimal performance and compliance.
• Lead and support root cause investigations for process deviations, equipment failures, and manufacturing issues; implement corrective and preventive actions (CAPA).
• Develop, maintain, and track preventive maintenance (PM) schedules across automation platforms and manufacturing equipment.
• Able to safely perform minor interventions on liquid handling systems with simple tools.
• Provide feedback to Engineering Team on equipment and automation design improvements to enhance manufacturability, reliability, and serviceability.
• Serve as technical liaison with automation vendors and service providers, supporting FAT/SAT, service coordination, and spare parts strategy.
• Author, review, and maintain equipment qualification documentation including Installation Qualification (IQ), Operational Qualification (OQ), and Performance Qualification (PQ).
• Provide real-time support to manufacturing by triaging issues, coordinating cross-functional responses, and ensuring minimal disruption to operations.
• Collaborate with process development, quality, and manufacturing teams to improve system robustness and assay performance.
• May author new standard operating procedures (SOPs) and provide training to operations team.
• Support lifecycle engineering activities, including equipment onboarding, validation, upgrades, decommissioning, and continuous improvement initiatives.
• Maintain organized lab environments, including basic lab operations, inventory tracking, calibration schedule and equipment readiness.
• Communicate effectively across teams, providing clear documentation, status updates, and technical insights.

Required Qualifications

• Bachelor’s degree in Engineering (Mechanical, Biomedical, Electrical, or related field) or equivalent experience.
• 2–5+ years of experience in life cycle engineering, hardware engineering, or automation support in a laboratory or manufacturing setting.
• Hands-on experience with Hamilton liquid handling systems (e.g., STAR, VANTAGE) strongly preferred.

Preferred Skills and Attributes

• Strong troubleshooting and diagnostic skills in automated systems and lab instrumentation.
• Experience with bioconjugation assays or similar complex bioanalytical workflows is highly desirable.
• Familiarity with equipment lifecycle management and GMP environments.
• Experience drafting and managing IQ/OQ/PQ documentation.
• Knowledge of preventive maintenance systems and scheduling tools.
• Strong critical thinking and structured problem-solving abilities.
• Ability to work under pressure and manage multiple priorities in a fast-paced environment.
• Excellent communication and documentation skills.
• Collaborative mindset with a strong sense of ownership and accountability.
• Experience in regulated environments (GMP, GLP, or ISO).
• Exposure to CAPA, deviation management systems, and change control processes.
• Basic programming or scripting experience for automation platforms is a plus.

Work Environment & Physical Requirements

• Hands-on laboratory and manufacturing floor environment.
• Ability to lift and handle laboratory equipment and consumables as needed.
• May require occasional off-hours or weekend support for critical troubleshooting.
• Physical capability to move within office and lab environments and occasionally lift up to 25 lbs.

The base salary range for this full-time position is $125,000 - $145,000 + bonus + equity + benefits. Our salary ranges are determined by work location, job-related skills, experience, and relevant education or training. The ranges displayed on each job posting reflect the minimum and maximum target for new hire salaries but are subject to change if the leveling of the role is adjusted. Your recruiter can share more about the specific salary range during the hiring process. 

We are looking for a highly motivated Product Engineer I to join our team! 

Our Product Engineer plays a strategically important role in ensuring the company’s business success. The primary responsibilities include, but are not limited to, supporting Field Service Engineers (FSEs) and Field Application Scientists (FASs) groups with technical support, authoring and reviewing Best Known Practices (BKPs) for field deployment, and coordinating the rollout and implementation of Engineering Change Orders (ECOs) in the field.

As a Product Engineer (PE), you will train FSE’s on best practices and be the point of contact for field escalations. PEs are system experts and sometimes work side by side with R&D to gain a deep understanding of the system. PEs will help define problem statements, develop mitigations, and are a key contributor to Corrective Action Preventative Action (CAPA) plans.

How You’ll Contribute 

• Test and validate software upgrades, process flows, and service procedures prior to release. Present to customer-facing groups to ensure proper field implementation
• Plan and execute full software releases for customer tools to ensure minimal expected downtime
• Partner closely with software engineering and data operations team to build up knowledge and documentation on troubleshooting, integration efforts, and software/GUI rollout for pipeline management
• Monitor field issues and escalate trends to R&D and Upper Management in the form of dashboards and other high-level communications
• Transfer knowledge from R&D to customer sites by working side by side with engineering, chemistry, and operations groups in system Operational and Performance Qualification stage
• Provide cross fleet data analysis including but not limited to system reliability, performance, and health through Jira reports
• Collaborate with Operations and R&D on product improvement plans. Represent the ‘Design for Serviceability’ and ‘Design for Usability’ perspectives in engineering design reviews
• Other job duties as assigned

Qualifications, Skills, Knowledge & Abilities 

• BS or MS in Computer Science, Engineering, Biomedical, Electrical, Mechanical, Systems Engineering disciplines or core scientific degree
• 1 + year of experience troubleshooting complex systems dealing with electrical, mechanical, and software designs is preferred
• Experience scripting in Bash and/or Python
• Previous experience working in Linux systems
• Background in teaching or transferring knowledge to others to help grow in their technical and troubleshooting skills
• Proficient working on hardware, software and chemistry integration is highly desired
• Some experience in a technical support or customer service role
• Highly curious with a self-starting attitude
• Excellent verbal and written communication skills
• Ability to travel up to 20% of the time to support customer sites

At Ultima Genomics, your base pay is one part of your total compensation package. This role pays between $85,000 and $92,000, if performed in California, and your actual base pay will depend on your skills, qualifications, experience, and location.  Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.  This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; paid holidays; paid time off; employee assistance program; and other company benefits.

#LI-Onsite

About The Role

We are looking for an outstanding individual to join our Program Management group as part of the 10X R&D team in Pleasanton. You will work on Program teams with biologists, chemists, engineers, computational biologists, and software engineers who are developing truly new products. Our products have allowed researchers to study biology at unprecedented resolution and scale; yielding insights in diverse fields such as cancer biology, immunology, neuroscience, and developmental biology.

As a 10X Program manager, you will be on high-energy, cross-functional teams that are developing important new products, both instruments and consumables, for our customers. You will partner closely with the technical lead of each program to make sure that the priorities, risks, resources, and schedule are established, managed, and adjusted when necessary. You will use your solid technical background and prioritization skills to guide team conversations about the scope of the work being done and potential paths. Your strong communication skills will keep everyone on the same page and make sure everyone is heard. Of course, as a Program manager by nature, your excellent organizational skills will assure that nothing falls through the cracks or is missed.

What You Will Be Doing

• Serve as Program Manager on 10x R&D teams across new product development and introduction programs, leading cross-functional teams to define and commit to the right scope, schedule, and budget to deliver scientific and business results.
• Partner closely with technical leads to establish and actively manage program priorities, risks, resources, and schedules — adjusting as the science and development landscape evolves.
• Drive and track day-to-day program work, ensuring problems are rapidly identified and resolved using modern program management tools and techniques.
• Lead program communications and phase approval reviews, providing clear and concise updates to all levels of the team and stakeholders, tailoring style to a broad range of audiences.
• Actively leverage advanced AI tools (e.g., Claude, Gemini, Asana AI) to accelerate program planning, synthesize complex information, and establish best practices for AI-assisted program management across the group.
• Assess and improve Program Management workflows and communication processes.
• Note: this is not an IT or SW project management position

To Be Successful In This Role, You Will Need

• Bachelor's degree or higher in engineering, chemistry, biology, or a related life science or biomedical engineering field.
• 5+ years proven experience in new product or technology development at a Life Sciences company, with a successful track record (2+ years) as the lead program manager.
• Demonstrated ability to manage programs spanning both early exploratory research and late-stage development; comfortable with ambiguity early and rigor late.
• Concrete cases of working with diverse stakeholders — biologists, engineers, chemists, computational scientists — to build shared plans and drive alignment.
• Demonstrated adoption of advanced AI tools (such as Claude or AI-integrated platforms like Asana or equivalent) as a meaningful part of your day-to-day work.
• Ability to clearly communicate complex technical topics across various levels of the organization.
• Strong grasp of technical project management techniques for building and managing project schedules and project costs

Preferred Skils:

• Experience developing platforms combining fluidics, optics, or molecular biology.
• Familiarity with sequencing, imaging, or spatial biology workflows.
• PMP Certification.
• Hands-on experience with Life Sciences instrumentation.
• Familiarity with existing 10x Genomics products.

What You Will Contribute To Altos

As part of our team, you will help to accelerate and optimize our progress in agentic AI methods for biological and clinical data curation and analysis.

In this role, you will be an integral part of our multidisciplinary teams building the computational platforms that will enable Altos to achieve its mission. You will collaborate with biomedical research experts as well as other machine learning scientists and engineers across the Institute of Computation to contribute to the Altos research and translation ecosystem, focusing on designing and building state-of-the-art agentic AI systems and workflows that tackle biological questions, accelerate clinical data analysis, and aid in the discovery of novel interventions for aging and disease.

The successful candidate will combine deep expertise in agentic AI methods with a strong foundation in bioinformatics and/or clinical R&D. You will work closely with domain experts to translate complex biological and clinical data challenges into intelligent, automated solutions. You will thrive in a fast-paced environment that stresses teamwork, transparency, scientific excellence, originality, and integrity.

Responsibilities

• Design and develop agentic AI workflows for biological and clinical data curation tasks
• Research and implement advanced context engineering techniques (RAG, agentic RAG, graph RAG) tailored to biomedical data
• Develop and optimize prompts and agent architectures for reliability, accuracy, and scientific rigor
• Build LLM-based tool-use systems and integrations relevant to bioinformatics and clinical R&D pipelines
• Collaborate with bioinformatics scientists, clinical researchers, and domain experts to identify automation opportunities and translate them into agentic solutions
• Evaluate and benchmark agentic systems, establishing rigorous metrics for performance and correctness in scientific contexts
• Stay current with the rapidly evolving landscape of agentic AI methods and contribute to internal best practices

Who You Are 

• Proven track record leveraging machine learning and AI to solve real-world problems
• Expertise in agentic AI methods development, including prompt optimization, LLM-based tool use, context engineering (RAG, agentic RAG, graph RAG), and agent evaluation
• Experience writing production-quality code with agentic frameworks (e.g., LangGraph, Pydantic-AI, DSPy, or similar)
• Deep familiarity with bioinformatics and/or clinical R&D, with the ability to engage meaningfully with domain experts on biological and clinical questions
• Proficiency with AI-assisted development tools (e.g., Claude Code, Cursor) to iterate rapidly
• A team player who thrives in collaborative environments and is committed to enabling colleagues to reach their full potential through giving and requesting feedback focused on professional growth
• Able to advise others across the wider function / company on cutting edge agentic AI practices and approaches to enable the science / research. Desire to constantly expand your skillset and knowledge. Keen to learn more about biology, machine learning, and medicine
• Inspired by the Altos mission of restoring cell health and resilience to reverse disease, injury, and age-related disabilities

Minimum Qualifications

• PhD in Computer Science, Machine Learning, Bioinformatics, or a related field
• Demonstrated experience developing agentic AI systems, including LLM-based tool use, prompt engineering, and context engineering techniques
• Strong foundation in machine learning principles and their application to real-world problems
• Strong background in bioinformatics, computational biology, or clinical R&D
• Familiarity with MCP server development and agent skill creation
• Very strong programming skills in Python, with experience writing production-quality, well-documented code
• Strong track record of published peer-reviewed research in AI/ML and/or computational biology

Preferred Qualifications

• Experience with AWS services (S3, Bedrock, Lambda) in the context of AI/ML workflows
• Experience with clinical trial data, regulatory data curation, or biomedical ontologies (e.g., CDISC, SNOMED, MedDRA)
• Track record working with NGS data (e.g., RNA-seq, ATAC-seq, DNA methylation) or other biological data modalities
• Experience designing evaluation frameworks and benchmarks for agentic AI systems
• Familiarity with knowledge graph construction and graph-based retrieval methods

The salary range for Redwood City:

• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego:

• Senior Scientist I, Machine Learning: $239,500 - $307,000

Exact compensation may vary based on skills, experience, and location.

#LI-NN1

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

What You Will Contribute To Altos

Altos Labs is building a world-class AI ecosystem to solve the most complex problems in human biology. You will directly design and build high-performance, scalable solutions that unify high-dimensional biomedical imaging with molecular and language data.

By implementing large-scale multimodal data fusion, you will move beyond simple image analysis to create predictive models that map across biological domains. You will be hands-on with the data and the code, collaborating with our engineering team to ensure these models are scalable, efficiently trainable on distributed cloud infrastructure, and accessible to our global research community.

Responsibilities

• Model Development: Design, code, and train large-scale foundation models (e.g., Vision Transformers, Multimodal LLMs) that can embed spatial data and integrate multiple modalities.
• Hands-on Data Fusion: Implement innovative cross-domain mapping and fusion strategies to synchronize heterogeneous biological datasets.
• Scaling & Training: Build and manage high-performance ML pipelines capable of processing petabyte-scale image repositories and multi-omics streams in a cloud environment.
• Technical Collaboration: Work directly in the trenches with experimental scientists and software engineers to translate biological complexity into performant code and reliable distributed systems.

Who You Are

We are looking for a technical specialist who thrives on solving "unsolvable" problems through code and rigorous experimentation. We are open to candidates at the Scientist I, Scientist II, or Senior Scientist level based on technical expertise.

Minimum Qualifications

• Education: PhD in Computer Science, AI/ML, Biomedical Engineering, or a related quantitative field.
• Hands-on CV Expertise: Deep experience building and deploying modern Computer Vision architectures (Vision Transformers, U-Nets, Self-Supervised Learning).
• Distributed Training: Proven experience training and fine-tuning large models at scale using frameworks like PyTorch Distributed, DeepSpeed, or Jax.
• Programming Mastery: Expert-level Python skills, with a focus on building production-ready machine learning code and large-scale data management systems.
• Scientific Contributions: A track record of technical contributions via high-impact publications (CVPR, ICCV, NeurIPS, etc.) or significant contributions to open-source ML frameworks.

Preferred Qualifications

• Direct experience with Multimodal Fusion (e.g., aligning image embeddings with transcriptomic or proteomic data).
• Proficiency with cloud-native AI tools (AWS/GCP, Kubernetes, Docker) and building automated MLOps workflows.
• Experience handling the unique noise and sparsity of biological data.

The salary range for Redwood City, CA:

• Scientist I, Machine Learning: $200,900 - $257,500
• Scientist II, Machine Learning: $226,200 - $290,000
• Senior Scientist I, Machine Learning: $257,400 - $330,000

The salary range for San Diego, CA:

• Scientist I, Machine Learning: $179,400 - $230,000
• Scientist II, Machine Learning: $212,900 - $273,000
• Senior Scientist I, Machine Learning: $239,500 - $307,000

#LI-NN1

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

We are looking for a Senior Algorithm Scientist to develop and validate the next generation of health sensing algorithms at Oura. Health sensing algorithms underpin the suite of features we offer to our members. As an algorithm scientist, your work will have a wide ranging impact and provide the foundation for new insights delivered to millions of Oura members around the world.

What you will do: 

• Contribute to the research, development and deployment of signal processing and machine learning algorithms for Oura features/products based on a range of sensing modalities
• Conduct early stage exploratory research to identify and characterize new potential sensing features and functionality. Develop proof-of-concept features and work with a cross-functional team to take these from proof-of-concept to a commercialized product
• Design and support internal and external data collection studies to develop, evaluate, benchmark and improve new biomarkers and algorithms and to evaluate the signal quality of hardware and firmware prototypes

• Develop and maintain internal signal evaluation tools and libraries to help Oura’s hardware and firmware teams optimize current and next-generation products

• Document, summarize, and present data analysis and algorithm performance results with concrete actionable recommendations for a broad audience on a regular basis
• Support the incorporation of new sensing modalities into next-generation hardware by running feasibility studies and providing scientifically-backed guidance to other teams (hardware, firmware, product, etc)
• Coordinate with cross-functional teams and overseas stakeholders

Requirements

We would love to have you on our team if you have:

• PhD degree with three years of work experience OR MSc degree with five years of work experience in biomedical engineering, electrical engineering, neural engineering or a related field
• 3+ years of solid programming skills in Python and experience with code collaboration tools (git, peer review, etc)
• Experience with signal processing methods and time-series analysis (FIR/IIR filters, Kalman filtering, adaptive filtering, stochastic processes, etc) 
• Experience with biosignal sensing and wearable hardware (including hardware prototypes) is a plus
• A pragmatic can-do attitude and delivery-focused mindset: you can move quickly and prioritize effectively
• Flexible schedule and good asynchronous communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week)
• This role is based in San Diego, with at least three days in office (at our Carmel Mountain location).

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 2: $158,950 - $187,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

About the Job

We are hiring a Director, Scientific Affairs who brings both scientific depth and a genuine passion for connecting people, evidence, and ideas. In this role, you'll be at the center of our clinical and commercial efforts; helping translate complex science into clear, compelling stories that move the field forward.

You'll partner closely with teams across Ossium to shape medical and scientific strategy, supporting the commercial launch of our novel cryopreserved bone marrow, and leading medical education and data communication work that actually changes how clinicians think about treating patients. Whether you're collaborating with individual clinical sites on evidence-generation projects or working alongside the commercial team to bring our flagship product to patients in need, you'll be the bridge between science and impact.

This is an excellent role for someone who thrives at the intersection of rigor and relationship-building; the ideal candidate is someone who can walk into a room of scientists, surgeons, or sales leads and speak everyone's language. 

This role reports directly to the Chief Medical Officer.

Required Qualifications

• MD/PhD in a life science/biomedical discipline with strong clinical experience
• 5+ years of industry experience 
• Proven ability to collaborate, partner, and influence across multiple functions and levels of leadership
• Demonstrated experience with manuscript and abstract writing and post hoc data analyses
• Experience working with MSLs and providing medical/scientific support to commercial teams
• Proven agility and adaptability in a fast-paced, results-driven startup environment
• Excellent written, verbal, and presentation communication skills
• Understanding of biostatistical concepts to analyze clinical trial data
• Comfortable with travel from 15% - 30%
• This position is based in our San Francisco office; we maintain a hybrid schedule of Monday - Thursday in the office, with Friday as a remote work day
• Qualified candidates must be legally authorized to be employed in the United States; Ossium is unable to provide sponsorship for employment visa status (eg, H-1B or TN status) for this position, either now or in the future

Preferred Qualifications

• Scientific or clinical expertise in hematologic malignancies, hematopoietic cell transplantation (HCT), or cell therapy
• Experience supporting product launch 
• Background in rare disease or a specialized therapeutic indication (e.g., bone marrow transplantation)
• Experience in clinical development or protocol support

Key Responsibilities

• Drive scientific communications internally and externally, including data dissemination, educational initiatives, and guideline/value-proposition development
• Assist with strategic publication planning and writing/preparing manuscripts, abstracts, and presentations
• Collaborate closely with Medical Science Liaisons (MSLs) to generate, synthesize, and communicate scientific insights from field interactions
• Assist with initiating and maintaining relationships with transplant MDs and PIs
• Lead evidence-generation initiatives (clinical, secondary analyses, real-world evidence) to enhance understanding of therapeutic benefit and value
• Serve as medical reviewer on the Promotional Review Committee and ensure scientific accuracy and compliance of promotional materials
• Support congress planning and KOL engagement efforts in partnership with the Medical Science Liaison team
• Provide strategic medical and scientific input into brand strategies, supporting product launches and ongoing commercialization activities
• Provide medical guidance to clinical operations teams and support cross-functional collaboration with Commercial, Market Access, Regulatory, and Clinical Development
• Generate and maintain proactive educational content to support internal training and external stakeholder engagement
• Travel as needed  to scientific meetings, clinical sites, or investigator interactions

In your first six months some projects you’ll work on include:

• Supporting authorship and submission of manuscripts and abstracts to major scientific meetings (e.g., ASH, TANDEM)
• Partnering with field and commercial teams to deliver clinical and scientific support for product-launch activities for HPC, Marrow
• Establishing relationships with individual sites and PIs to initiate evidence generation projects

This position has a salary range of $200,000 - $275,000 annually. Ossium Health takes a market-based approach to pay. The successful candidate’s starting salary will be determined based on, but not limited to, job-related skills, experience, qualifications, and market conditions. This range may be modified in the future.

We offer a full slate of employee benefits including:

• Stock options
• 401(k) matching
• Medical, dental and vision coverage
• Generous paid time off + 11 company holidays
• Employer paid life insurance and long-term disability
• Gym membership/recreational sports reimbursements

Neptune Medical, is an innovative, venture capital funded medical device startup headquartered in Burlingame, CA. We have already commercialized novel medical devices using our technology. Now the team at Neptune is building something truly unique: a fully flexible medical robot that enables doctors to reach deep into human anatomy. Triton Robotic Endoscopy will disrupt flexible endoscopy and set a new standard in outcomes for decades to come.

TITLE: Product Development Engineer II

POSITION SUMMARY:

The Product Development Engineer II will focus on testing the performance of our product and using test results to drive product improvement. A successful candidate will possess a passion for medical device engineering and a record of developing test methods for hardware devices in engineering R&D environments. This role will engage in cross-functional collaboration to define requirements and test acceptance criteria, perform risk management, and design experiments to reliably measure the performance of our product.

The ideal candidate will act with passion and intensity in a medical device start-up that is fast paced and collaborative and will display the ability to perform to the requirements outlined below. For the right person, this position will be a tremendously exciting and career-defining opportunity, making core contributions to a genuinely new type of medical robotic platform.

ROLES AND RESPONSIBILITIES:

• Develop and execute test methods for a complex, robotically driven medical device.
• Design, prototype and build custom electromechanical fixturing.
• Develop software scripts to control robotic platforms and tools to perform data post-processing and analysis.
• Apply principles of systems engineering, design controls and risk management to the development of a medical device.
• Define and maintain design requirements based on stakeholder needs and product safety.
• Use statistical analysis techniques to support data-driven decision making and define acceptance criteria for design verification testing.
• Identify and root cause product issues or defects.
• Implement test process improvements to drive better accuracy, repeatability, and reproducibility of results.
• Author, release and maintain robust documentation in a product lifecycle management (PLM) system.
• Prepare and present technical read-outs to cross-functional audiences including engineers, quality and regulatory personnel, and leadership.
• Emphasize product quality, patient safety, data integrity and other principles of GxP.
• Support company goals and objectives, policies and procedures that comply with FDA Quality System Regulations (QSR), ISO 13485, and any other applicable domestic regulations including Cal FDB, OSHA and Cal-OSHA.

 REQUIRED QUALIFICATIONS:

• B.S. or M.S. in Mechanical, Biomedical or related field of Engineering.
• 3+ years of work experience.
• Demonstrated experience working with cross functional teams.
• Experience with test engineering and/or design verification.
• Solid understanding of design controls and risk management.
• A driven outlook and with a strong desire to succeed as an engineer, as a team, and as a company.

PREFERRED QUALIFICATIONS:

• Experience working in the medical device industry and/or other regulated environments.
• Experience with disposables/consumables.
• Experience with electromechanical and/or robotic systems.
• Experience working in a start-up environment.
• Experience with PLM/ALM tools.
• Experience using statistical techniques to analyze quantitative data.
• Experience with rapid prototyping.
• Familiarity with test method validation, fixture qualification and/or non-product software validation.
• Proficient with Minitab.
• Proficient with Solidworks.
• Proficient with Linux-based operating systems.
• Proficient with Python.

Neptune Medical is located in Burlingame, CA, near the Millbrae Caltrain and BART Station

Our job titles may span more than one career level. The starting base salary for this role is between $100,000 and $130,000 depending on experience. The actual base pay is dependent upon many factors, such as: education, training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for equity, benefits and 401(K) with matching.

Neptune Medical provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped over one million people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office. 

We are looking for a Manager, Algorithms to lead a team creating new health sensing algorithms that power future Oura experiences. You’ll set direction, build strong execution habits, and partner across hardware, firmware, and product to deliver algorithms that are accurate, resilient, and ready for real-world use.

This is a hybrid role based in San Diego, CA, requiring at least three days in office (at our Carmel Mountain location) per week.

What you will do: 

• Lead and grow a team of algorithm scientists advancing Oura’s next generation health sensing capabilities: setting direction, coaching, and ensuring strong delivery and technical quality
• Drive algorithm strategy and execution for new sensing programs: translate product and program needs into clear technical goals, milestones, and success metrics
• Own end-to-end algorithm development from early feasibility and prototype evaluation through feature-ready performance
• Partner deeply with hardware and firmware teams to shape sensing requirements, understand constraints, and influence design decisions to improve real-world algorithm performance
• Coordinate cross-functionally with product, program management and other stakeholders to align priorities, manage dependencies, and communicate progress, risks, and tradeoffs
• Maintain technical depth as a leader: review methods and results, unblock complex problems, and uphold strong engineering/scientific standards, while enabling the team to own implementation details
• Scale team leverage by improving processes and infrastructure (reusable analysis pipelines, evaluation frameworks, documentation, etc)

Requirements

We would love to have you on our team if you have:

• PhD in biomedical engineering, electrical engineering, neural engineering, biostatistics, computer science or related field; or MS with significant relevant industry experience
• Demonstrated people leadership experience managing and developing technical teams (scientists/engineers/data scientists), including hiring, coaching, performance management, and team execution
• 5+ years of experience developing and productizing algorithms in a cross-functional environment, ideally involving sensor time-series data
• Solid foundation in time-series/signal processing and statistical evaluation, with the ability to guide technical choices and ensure rigor (filtering, artifact handling, modeling approaches, performance characterization, etc)
• Experience collaborating with hardware/firmware partners on prototype-to-product development; comfort operating with real-world constraints and imperfect early data
• Strong programming fluency in Python, plus modern collaboration practices (git, code review, testing, reproducibility)
• Excellent communication and stakeholder management skills: you can align globally distributed teams, make tradeoffs clear, and drive decisions with crisp narratives
• A pragmatic, delivery-focused mindset: you prioritize effectively, build team leverage, and create clarity in ambiguity
• Flexible schedule and strong async communication skills to work with Oura’s Finnish teams (early morning meetings two to three times a week)

Benefits

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health.

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own plus employee discounts for friends & family
• 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
• Paid sick leave and parental leave

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• San Diego area $173,000- $200,000

A recruiter can determine your zones/tiers based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Missouri (MO), Nebraska (NE), South Dakota (SD), Vermont (VT), West Virginia (WV), and Wisconsin (WI)

Neptune Medical, is an innovative, venture capital funded medical device startup headquartered in Burlingame, CA. We have already commercialized novel medical devices using our technology. Now the team at Neptune is building something truly unique: a fully flexible medical robot that enables doctors to reach deep into human anatomy. Triton Robotic Endoscopy will disrupt flexible endoscopy and set a new standard in outcomes for decades to come.

TITLE: Senior Manager of Clinical Affairs

POSITION SUMMARY: The Clinical Affairs Senior Manager/Associate Director will be responsible for the design, execution and monitoring of clinical studies and will provide scientific expertise throughout the development and implementation of the studies. This role is accountable for the end-to-end clinical strategy, design, execution, oversight, and reporting of clinical studies supporting product development, regulatory submissions, and commercialization. S/he will work closely with R&D, Regulatory Affairs, Quality and external stakeholders to ensure high-quality, compliant, and efficient clinical programs and interact with regulatory agencies as needed to support regulatory submissions and audits.

The ideal candidate would act with passion and intensity in a medical device start-up that is fast paced and collaborative and display the ability to perform to the requirements outlined below. For the right person, this position will be a tremendously exciting and career-defining opportunity, offering the opportunity to shape clinical strategy for a novel medical robotic platform and to contribute meaningfully to the company’s long-term success.

ROLES AND RESPONSIBILITIES:

 Clinical Strategy and Leadership

• Lead the development and execution of the overall clinical strategy aligned with company and regulatory objectives.
• Provide expert input into clinical development plans, trial design, and evidence-generation strategies across the product lifecycle.
• Advise senior leadership on clinical risks, opportunities, and trade-offs.

Study Design, Execution, and Oversight

• Oversee the design, initiation, execution, monitoring, and closeout of clinical studies, ensuring adherence to timelines, budgets, and quality standards.
• Provide strategic oversight of CROs, vendors, investigators, and internal teams to ensure effective study conduct.
• Establish and monitor study performance metrics; proactively identify risks and lead cross-functional mitigation strategies.
• Participate in the development of clinical strategy and trial design. 

 Scientific and Regulatory Contributions

• Lead the development and review of key clinical documents, including protocols, amendments, investigator brochures, informed consent forms, case report forms, and clinical study reports.
• Interpret and synthesize clinical, scientific, and risk data to support regulatory submissions, scientific publications, and labeling claims.
• Facilitate regulatory submissions and communications. Interacts with regulatory agencies as needed and use scientific and medical knowledge to write strategic responses to questions from regulatory bodies about submissions.

Data Review, Safety, and Quality

• Provide oversight of clinical data review, including safety and adverse event evaluation, throughout study conduct and reporting.
• Ensure clinical activities are conducted in compliance with GCP, FDA, ISO, and applicable international regulations.
• Partner with Quality to develop and implement SOPs, support audits, complaint review, and implementation of corrective and preventive actions.

Operational and Financial Management

• Provide strategic oversight of clinical trial budgets, timelines, and resource planning.
• Lead or oversee contract negotiations with investigators, institutions, CROs, and other vendors.
• Drive continuous improvement of clinical processes, systems, and best practices.

REQUIRED QUALIFICATIONS:

• B.S. in Biomedical Engineering, Life Sciences or similar
• 7-10+ years of progressive experience in clinical research within the medical device industry, including leadership of complex clinical studies
• Demonstrated experience developing and executing clinical strategies that support regulatory submissions and product approvals.
• Strong working knowledge of Good Clinical Practice (GCP), FDA and international regulations, ISO standards and clinical research best practices
• Proven ability to lead cross-functional teams and influence without direct authority.
• Excellent written and verbal communication, skills including experience presenting to senior leadership and regulatory agencies
• High attention to detail and accuracy
• Fluent in medical terminology and sound knowledge of anatomy
• Strong analytical, problem-solving, and decision-making skills with high professional judgment.
• Ability to thrive in a fast-paced, evolving startup environment with a hands-on, ownership-oriented mindset
• Takes initiative and acts quickly to drive to solutions with a driven outlook and with a strong desire to succeed as a team player, and as a key part of a company
• Ability to travel up 20% domestically and internationally

PREFERRED QUALIFICATIONS:

• Experience in medical robotics
• Master’s degree or higher in Biomedical Engineering, Life Sciences, or a related discipline
• Experience or knowledge of the GI/endoscopy space

Neptune Medical is located in Burlingame, CA, near the Millbrae Caltrain and BART Station

Our job titles may span more than one career level. The starting base salary for this role is between $182,500 and $229,000 depending on experience. The actual base pay is dependent upon many factors, such as: education, training, transferable skills, work experience, business needs, and location. The base pay range is subject to change and may be modified in the future. This role may also be eligible for equity, benefits and 401(K) with matching.

Neptune Medical provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

We are looking for a Health Sensing Hardware Engineer to join our hardware team working on future wearables and accessory devices reporting directly to the Director, Hardware Sensing Technologies.  This opportunity will be hybrid out of our San Francisco or San Diego office.

What you will do: 

• Develop and validate physiological sensing systems for acquiring and analyzing physiological signals in wearable health and wellness products
• Define hardware and software technical specifications and implement test and calibration protocols both internally and at manufacturer sites
• Ensure that the physiological sensors integrated in our products meet their specifications from prototype to mass production
• Build and validate hardware architectures optimized for low-noise, high-resolution time-series signal collection
• Plan and execute benchtop and on-body testing to evaluate system performance across various user populations
• Support validation and compliance efforts in collaboration with regulatory, research, and clinical teams
• Work cross-functionally to ensure end-to-end system performance and signal integrity
• Conduct rigorous testing and troubleshooting to ensure sensor performance across varying environmental and use-case conditions
• Collaborate closely with mechanical and electrical engineers to integrate sensors within constrained form factors and flexible layouts
• Partner with firmware and software teams to enable and refine features built on physiological data
• Work directly with sensor vendors to evaluate new components, optimize performance, and address integration challenges
• Travel occasionally to Finland and to global manufacturing or development sites as required (15%–20%) 

Requirements:

We would love to have you on our team, if you have:

Technical Expertise 

• Strong electrical engineering background and experience with the design and testing of low-noise analog or mixed-signal systems
• Strong understanding of time-series physiological signal acquisition, including best practices for minimizing noise and motion artifacts
• Familiarity with algorithmic methods for time-series signal modeling and calculating physiological metrics
• Simulation and modeling experience using tools like ANSYS, CST, or COMSOL
• Skilled in embedded software and data acquisition tools such as C/C++, Python, or similar
• Experience with data analysis and signal processing tools such as Python, MATLAB, or JMP

Problem Solving and Analytical Thinking

• Strong experimental and analytical skills with a methodical approach to isolating and debugging complex issues across hardware and algorithm domains
• Ability to work independently through ambiguity and rapidly iterate on early-stage concepts
• Driven by data and eager to understand root causes behind performance issues

Communication and Collaboration

• Effective communicator across disciplines, with the ability to clearly convey technical insights both in written and verbal form to technical and non-technical audiences
• Experience working in cross-functional teams spanning hardware, firmware, product, and research
• Contributed to project documentation, planning, and alignment with stakeholders

Educational Background

• Bachelor’s degree in electrical engineering, mechanical engineering, biomedical engineering, physics,or related field with 7+ years of relevant industry experience
• Master’s degree with 5+ years, or PhD with 2+ years of relevant industry experience

Prototyping and Testing

• Hands-on experience building and characterizing early-stage hardware systems
• Proficiency using various lab instrumentation tools such as digital multimeters, oscilloscopes, signal generators, spectrum analyzers, physiological simulators, power analyzers, and environmental chambers

Bonus Points:

• Experience developing or integrating physiological sensing systems into wearable or health-oriented products
• Track record of supporting high volume products from early prototyping through manufacturing and launch
• Knowledge of regulatory or safety standards for health-related technologies
• Prior work in validation studies or performance benchmarking across diverse populations

Benefits 

At Oura, we care about you and your well-being. Everyone here at Oura has a ring of their own and we are continually looking to improve employee health and add to our benefits!

What we offer:

• Competitive salary and equity packages
• Health, dental, vision insurance, and mental health resources
• An Oura Ring of your own + employee discounts for friends & family
• Fertility benefits through Carrot Pro
• Flexible working hours and remote working arrangements
• $750 Learning & Development credit
• 20 days of PTO + 13 paid holidays + 8 days of flexible wellness time off
• 5 days paid sick leave, 5 days bereavement leave, 12 weeks paid parental leave
• Amazing culture of collaborative and passionate coworkers

Oura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates’ pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

• Region 1 Range (SF): $217,000 - $267,950
• Region 2 Range (SD): $197,000 - $243,800

A recruiter can determine your zones/tiers based on your US location.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees or any other organization location. Oura is not responsible for any fees related to unsolicited resumes.

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.