We are looking for a Lead Microwave Research Scientist. As a Microwave Research Scientist, you’ll be part of a cross-functional team whose mission is to work with IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. In this role, you will develop the requirements for microwave circuits that enable new functionalities for quantum devices. You will design, fabricate, and test microwave circuits for electronic control of qubits. You will develop integration techniques for combining these circuits with optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at the foundry scale.

Responsibilities: 

• Work with architecture teams to turn system-level specifications into component-level specifications and design rules
• Design microwave circuits taking into account target performance, fabrication capabilities, and interactions with other components
• Fabricate test devices
• Own relationships with external vendors to scale up fabrication and testing
• Work with internal test and measurement teams to ensure devices meet target specifications

You’d be a good fit with:

• 5 + years of experience fabricating microwave devices
• PhD in electrical engineering, physics, or a related field
• Experience leading cross-disciplinary teams within large projects
  
  

You’d be a great fit with: 

• Experience with helping in acquiring independent funding for new initiatives
• Experience helping with hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation
• Familiarity with architectures for distributed quantum computing, sensing, and networking

Location: This role will work onsite at our office located in Boston, MA.
Travel: Less than 10% travel
Job ID:  1160

The approximate base salary range for this position is $141,670 - $181,482. The total compensation package includes base, bonus, and equity.

We are looking for a Senior Research Scientist for quantum memory development. As a Senior Research Scientist, you’ll lead part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will do pioneering work in quantum memories for long-range quantum networks and modular quantum computing. You will work with a world-class team of scientists and engineers to build systems that can rapidly process and store quantum information from photons and apply those systems to building scalable quantum computing systems. Your work will stretch from pioneering systems to operationalizing and scaling quantum memory systems that will be the backbone of the world’s largest quantum computers.

Responsibilities: 

• Design and test control sequences for quantum memories with high efficiency and fidelity
• Coordinate with photonic design and fabrication teams to produce high performance nanophotonic devices
• Optimize low-duty cycle tune-up routines to keep quantum memory systems running with high up time
• Continuously improve repetition rate, efficiency, and fidelity of quantum memories
• Interface with RF and optical engineers to scale the control and qubit routing systems for a large scale optical-interconnect architecture

You’d be a good fit with: 

• PhD in physics, applied physics, electrical engineering 
• Work in quantum optics and microwave control of qubits (ideally spin qubits in diamond)
• Experience designing and testing photonics 
• Experience in optically-mediated entanglement protocols between qubits

You’d be a great fit with: 

• Experience architecting high performance electro-optic systems
• Experience in cryogenics (especially dilution refrigerators)
• Experience in RF design
• Experience using Lumerical, Comsol, and/or Sonnet for photonics and RF design

Location: Boston, MA
Travel: Occasional domestic travel, 1 to 4 times per year.
Job ID:  IONQ-1269

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, and equity.

Location: This role will be based on-site at our Boston, MA office.
Travel: Less than 10% travel
Job ID: 1462

The Role: 

We are looking for a Fabrication Research Scientist. As a Fabrication Research Scientist, you’ll be part of a cross-functional team whose mission is to lead IonQ on its journey to build the world’s best quantum computers to solve the world’s most complex problems. 

In this role, you will design, fabricate, and test optical circuits for optical interfaces to qubits. You will develop integration techniques for combining optical and electronic devices that optimize for system level performance. You will lead efforts to fabricate and test these devices at foundry scale.

Responsibilities:

• Work with architecture teams to turn system level specifications into component level specifications and design rules 
• Design optical circuits taking into account target performance, fabrication capabilities, and interactions with other components 
• Fabricate test devices in a user facility 
• Build relationships with external vendors to scale up fabrication and testing
• Partner with internal test and measurement teams to ensure devices meet target specifications

Requirements:

• 5 + years of experience fabricating optical or quantum devices 
• A PhD in electrical engineering, physics, or a related field
• Experience leading cross disciplinary teams within large projects 

Preferred Qualifications:

• Experience hiring and training new teams for research and development work
• Knowledge of cryogenic testing and operation 
• Familiarity with architectures for distributed quantum computing, sensing, and networking

The approximate base salary range for this position is $126,887 - $166,127. The total compensation package includes base, bonus, equity, and a range of benefit options found on our career site.

Position Overview

Be on the leading edge of applying machine learning and data modeling to the world of advanced cyber security. As part of the Data Science team you will directly impact the product by modeling complex problems and developing production software. You will develop these models and algorithms in collaboration with Security Researchers, who are experts in cyber security attack techniques. This work provides the core detection capability for our customers.

Responsibilities

• Leverage large datasets to develop machine-learning and statistical models that can differentiate between normal and attack behavior.
• Own the prototyping, development, and testing of complex detection algorithms that implement these models and provide customers with real-time visibility.
• Analyze detection algorithm performance and present key findings to business leaders.
• Collaborate with Security Research, Data Engineering, and Software Engineering teammates.

Required Experience

• MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience)
• Hands-on experience with machine-learning and statistical techniques
• Strong experience with Python and object-oriented programming
• Ability to work with datasets using SQL or other libraries (pandas, numpy, etc.)
• Familiarity with data structures and algorithms
• Linux and Git proficiency

Desirable Qualifications

• Familiarity with Spark or other distributed computing systems
• Experience with cloud computing platforms (AWS, Azure, GCP, etc.)
• Database experience (SQL or NoSQL variants)
• Experience working in a software development team
• Programming experience in C++, Scala/Java, Go, or other languages

Layer Health was founded in 2023 by leading machine learning researchers from MIT and Harvard Medical School. We are building an AI layer that can accurately and scalably synthesize information from medical records, with the mission to reduce friction everywhere in healthcare. Our LLM-powered platform is solving chart review once and for all, across use cases. For health systems, our first product dramatically accelerates clinical registry abstraction in areas ranging from surgery and cardiology, to oncology. Our long term vision is for our AI layer to safely transform patient care and minimize unnecessary heartbreak. Layer Health’s diverse founding team brings expertise across machine learning, UI/UX, large language models, and medicine.

Here’s a collection of articles about our product, mission, recent funding round, etc.

Job Description

You will work with the Layer Health ML team applying our existing ML workflow to tailor models for a specific clinical use case. You will design, build, evaluate, and iterate on these models — combining strong data science fundamentals with modern LLM techniques to deliver high-accuracy, production-ready solutions across new clinical domains.

This is a high-velocity, high-ownership role for someone who enjoys diving deep into error modes, making targeted improvements, and closing the loop between model performance and real-world impact.

This contract will require full-time hours.

What you’ll do:

• Own end-to-end development of models for specific use cases: Build and iterate using our ML/LLM-powered workflows for new clinical areas, from initial prototyping through production refinement.
• Conduct evaluation & error analysis: Own rigorous evaluation of model performance; perform deep error analysis to identify systematic failure modes and drive targeted improvements.
• Ship frequent, high-quality updates to models based on data, feedback, and observed edge cases.
• Leverage LLM application & tooling: Apply modern LLM techniques (prompting strategies, structured outputs, tool use, eval frameworks) to improve accuracy and robustness.
• Support analytics & metrics: Contribute to metrics, reporting, and internal dashboards that track model performance and downstream impact.

We look for:

• Good data science fundamentals, including knowledge of best practices for evaluating model performance and error analysis. (A proven track record of successful projects in healthcare or clinical applications is a bonus, but not required.)
• Familiarity with modern applied LLM techniques and their practical implementations, for example e.g. standard prompting techniques, LLM frameworks, structured output usage, etc. (any experience using these techniques is a bonus).
• Solid programming skills in Python.
• A strong technical communicator who thrives in a fast-paced environment.
• Proactive mindset to identify and solve problems, continuously improving our data science capabilities.
• An excited and adaptable team player who wants to disrupt the healthcare industry with AI/ML, alongside an awesome team. 
• Willingness to be hybrid with our team in either our Boston or NYC office 3 days per week.

Expected compensation range for this role is $40 - $70/hour. Compensation is dependent on experience, overall fit to our role, and candidate location. Expected compensation ranges for this role may change over time. If your compensation requirement is greater than our posted salary ranges, please still consider applying to our role. We will make a determination as to whether an exception can be made. 

If you are excited about this role, we encourage you to apply even if you don't feel that you meet every single requirement. We're eager to meet people that believe in our mission and can contribute to our team in a variety of ways. We welcome diverse perspectives, rigorous thinking, and fearlessness in challenging the status quo. 

Join us and help us transform healthcare with AI. Layer Health is committed to foster an environment of inclusion that is free from discrimination.  We are an Equal Opportunity Employer where employment is decided on the basis of qualifications, merit, and business need. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected Veteran status, or any other characteristic protected by law. 

Company Overview:

Strand Therapeutics is a clinical stage biotechnology company utilizing synthetic biology to genetically program mRNA to deliver truly revolutionary immunotherapies to patients.

Building on the idea of creating smart therapies based on Boolean logic circuits, Strand was started by biological engineers working together at MIT who were seeking to apply the concept of the emerging field of mRNA therapeutics. Strand's technology is therapeutic-area and mRNA modality agnostic where therapeutic proteins are encoded onto modified, self-replicating, or circular mRNA backbones which in turn are programmed with cell-specific sensors and circuits.

Today, Strand has established three platforms with one clinical stage asset and several programs in preclinical development as well as early discovery. Our lead program, STX-001, is currently being evaluated in a phase 1 clinical trial for solid tumors. Our corporate headquarters is located in the Fenway district of Boston, Massachusetts.

Become the next standout single strand!

Job Summary:

Strand is looking for people who have the enthusiasm and motivation to be a highly contributing member of a small but extremely productive team. This opportunity will offer the employee the ability to work in a matrix-based environment and be a part of the future strategy of the company.

We are looking for a highly motivated and innovative candidate for the role of Scientist / Senior Scientist of Analytical Development. The expectation is that the Scientist / Senior Scientist will have experience independently executing analytical experiments using HPLC/UPLC techniques. Reporting to the Associate Director of Analytical Development, the right candidate will be a strategic thinker that brings a leadership presence and enthusiasm for Strand along with a desire to conquer new challenges.

Primary Responsibilities:

• Leads development, execution, and validation of RP-IP/RP/IEX based analytical methods to establish identity, purity, potency, and stability criteria for early-stage mRNA and LNP formulations using UPLC-ESI-ToF, PDA, and CAD.
• Analyzes data and draws conclusions which drive screening, optimization, and scale-up efforts in mRNA and LNP Process Development.
• Serves as subject matter expert in analytical chemistry, mass spectrometry, and method qualification and transfer.
• Interfaces with external contract research organizations to ensure compliance with internal timeline and quality requirements.
• Mentors and develops junior scientists in analytical theory and in applications of analytical technology and software platforms.
• Created proprietary ToF mass spec oligonucleotide mass target and predictive sequence library software to rapidly profile known and identify unknown oligonucleotide mass signals.
• Maintains electronic notebook records and authors protocols.
• Contributes to data packages for regulatory submissions.
• Actively maintains current understanding of RNA and LNP landscape by attending conferences and other events.

Qualifications:

• B.S. or Advanced Degree in Chemistry, Chemical Engineering, Biology, Biochemistry, Molecular Biology or other relevant scientific discipline.
• 7+ years of experience with a focus on varying liquid chromatography modes (RP, RP-IP, AEX, SEC, etc), LC-MS, or capillary gel electrophoresis.
• Working experience in HPLC/UPLC method development.
• Experience with enzymatic and chemical reactions, PCR, plasmid processing, and standard analytical techniques for biologics or nucleic acid therapies.
• This position requires conducting laboratory experiments, excellent documentation review and writing skills, and the flexibility to work on multiple projects as needed.
• Understanding of process development, and/or regulatory aspects of mRNA-(lipid) nanoparticle products would be a plus.
• Ability to quickly adapt to change and thrive in a dynamic and entrepreneurial early-stage environment.
• A strong team player with excellent oral and written communication skills and a demonstrated ability to work independently.
• Independently motivated, detail oriented and good problem-solving ability.

Strand offers a fast-paced, entrepreneurial, team-focused small company environment. We also offer a top-notch benefits package (health, dental, life, open PTO, onsite lunch catering, commuter support and more) and work/life flexibility and integration. Being part of the Strand team allows you to become part of a small team that supports professional development while working together to meet Strand’s goals. 

Strand Therapeutics is an equal opportunity employer. We do not discriminate on the basis of race, color, gender, gender identity, sexual orientation, age, religion, national or ethnic origin, disability, protected veteran status or any other basis protected by applicable law. Strand does not accept unsolicited resumes from any source other than directly from candidates.

Job Type: Full-time

Salary: $120,000 - $142,000 annually plus bonus and equity incentives

Description of Role

We are seeking a Senior Scientist, Drug Safety (Pharmacovigilance) to support pharmacovigilance activities across Centessa’s clinical-stage development programs. Reporting to Centessa’s Head of Safety and Pharmacovigilance, this role will contribute to the review and analysis of safety data to support ongoing safety surveillance, regulatory compliance, and program execution. The Senior Scientist will work closely with cross-functional partners and external vendors to ensure high-quality safety deliverables and maintain inspection-ready pharmacovigilance processes in a fast-paced, development-focused environment. 

Key Responsibilities

• Provide advanced scientific oversight of ICSR and clinical trial SAE evaluation, ensuring medical accuracy, regulatory reportability, and consistency across global development programs. 
• Lead the development of high-quality case narratives and guide the scientific preparation of regulatory ready case submissions, including SUSARs, in alignment with global reporting requirements. 
• Drive ongoing safety surveillance activities by analyzing aggregate safety data, identifying emerging safety signals, and contributing to risk–benefit assessments for investigational and marketed products. 
• Oversee literature surveillance to identify new or evolving safety information, interpret clinical relevance, and communicate findings to cross-functional stakeholders. 
• Ensure the scientific integrity and quality of safety data through expert review of complex cases and mentorship of junior team members in case assessment and safety data interpretation.  
• Provide senior level scientific input into the preparation and review of DSURs, line listings, safety summaries, and safety-related sections of protocols, Investigator’s Brochures, and regulatory submissions. 
• Serve as the lead drug safety representative on cross-functional study teams, shaping safety strategy, influencing program decision-making, and advising on safety issue management.
• Maintain expert level knowledge of therapeutic areas and global drug safety regulations, guidelines, and evolving best practices (e.g., FDA, EMA, ICH, CIOMS), and apply this expertise to program decisions and safety governance. 
• Collaborate with clinical development, clinical operations, regulatory, medical writing, and quality partners to provide scientific leadership on safety topics and ensure alignment on safety strategy and interpretation.  
• Lead or contribute to complex, cross-functional safety projects, safety signal evaluations, and ad-hoc scientific analyses to support portfolio needs and organizational priorities. 

Qualifications

•  PharmD or PhD in scientific field
• 6+ years of experience of experience in drug safety in the biotech/pharmaceutical industry with 3+ years of pharmacovigilance compliance experience.  
• Prior experience facilitating in Safety Risk Assessment Meetings / Safety Review activities required. 
• Working knowledge of global PV regulations and guidelines applicable to clinical development (e.g., FDA, EMA, ICH, GCP).
• Experience with PV databases and safety surveillance tools (e.g., Argus, ArisGlobal, Vault Safety); familiarity with MedDRA coding preferred.
• Experience supporting clinical safety case processing and aggregate reporting.
• Strong analytical skills, attention to detail, and comfort working across multiple programs.
• Clear communicator who works effectively in small, cross-functional teams.
• CNS experience preferred. 

Compensation 

The annual base salary range for this job level is $145,000 to $190,000. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge. 

In addition to base pay, this role is eligible for a discretionary annual bonus. Centessa also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program. 

Work Location 

Based in the US, with <10% travel.

POSITION: Full-Time, Exempt

Company Overview:

PhaseV (HQ in Boston, R&D in Tel Aviv) is a cutting-edge startup, pushing innovation in the drug development process to bring new treatments to more patients, in a more efficient and precise way. Leveraging the power of advanced causal inference and pushing the boundaries of machine learning, PhaseV detects hidden signals in clinical data and extracts actionable insights for planning the optimal trial. The company's proprietary ML-based platform for adaptive clinical trial design and closed-loop execution enables sponsors to easily and quickly unlock the potential of adaptive clinical trials, reveal the optimal adaptive design to meet their trial objectives and execute more efficient, more precise, and more successful clinical trials. Collaborating with 7 of the top pharmaceutical companies, as well as multiple CROs and biotechs, we are poised to make a significant impact on how drugs are developed and brought to market.

Position Overview:

We are seeking a talented Data Scientist to join our team of researchers. The ideal candidate will have a strong foundation in machine learning and statistics with an interest in causal inference. A couple of recent preprints we’ve released to get a sense of the challenges:

• Causal Responder Detection (https://arxiv.org/abs/2406.17571)
• Robust CATE Estimation Using Novel Ensemble Methods. (https://arxiv.org/abs/2407.03690)

Key Responsibilities:

Technical Development:

• Implement and optimize ML algorithms, with a focus on causal ML applications in clinical trials
• Collaborate with senior data scientists to develop and improve our analytical platforms
• Work alongside clinical and biological experts to translate complex problems into technical solutions

Research & Analysis:

• Conduct rigorous statistical analyses of both randomized and observational data
• Develop and validate methods for responder identification and treatment effect estimation
• Document and present methodologies and results for internal and external stakeholders

Collaboration:

• Work cross-functionally with engineering and product teams
• Contribute to technical discussions and peer code reviews
• Support the preparation of technical documentation and research papers

Qualifications:

Education:

• Master's in Computer Science, Statistics, Data Science, Engineering or a related field
• Ph.D. is an advantage but not required

Experience:

• 3+ years of experience in data science or machine learning roles
• Experience with ML in a practical research or industry setting
• Background in statistical modeling and analysis

Skills:

• Strong programming skills in Python (R in addition - an advantage)
• Proficiency in statistical analysis and machine learning
• Experience with data visualization and communication of technical concepts
• Strong analytical and problem-solving skills

Preferred:

• Familiarity with causal inference concepts
• Experience in healthcare or biotech industry
• Experience with large-scale data processing

What We Offer:

• Join us on a mission to bring more effective drugs to more patients.
• The opportunity to work with an amazing team passionate about making a real-world impact.
• Extremely hard and diverse problem setting, in which the team is pushing the envelope.
• A collaborative and dynamic startup environment.
• Professional growth and development opportunities.

Position

Manifold's AI team is actively training protein foundation models on our proprietary experimental datasets. Our generative antibody design model, mBER, has already demonstrated controllable de novo binder design across multiple million-scale screening campaigns, and the team is now scaling foundation model capabilities to push well beyond current performance. We are looking for an AI/ML Scientist to join this effort. You will work alongside our existing model training team to accelerate the development of foundation models fine-tuned on Manifold's data, bringing additional depth in pre-training methodology, architecture development, and large-scale training. Your work will directly improve mBER's design capabilities and unlock new modeling paradigms for the broader team. You'll own foundation model projects end-to-end, from architecture selection and training infrastructure to evaluation against real experimental outcomes, while contributing to the team's shared research agenda.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Advance the team's ongoing foundation model training efforts—pretraining, fine-tuning, and evaluating folding, docking, language, and generative design models on Manifold's proprietary experimental data
• Bring depth in training methodology, architecture selection, and optimization to complement the existing team's expertise
• Develop and scale training pipelines for distributed, multi-GPU and multi-node training runs
• Integrate foundation model outputs into mBER to improve binder design success rates and enable new design capabilities
• Design and execute ML experiments with clear hypotheses, rigorous evaluation frameworks, and systematic analysis
• Establish best practices for mixed-precision training, gradient checkpointing, and computational efficiency at scale
• Produce clear documentation and analysis supporting architecture and training decisions

Required Qualifications

• Demonstrated experience pretraining and/or fine-tuning protein foundation models (folding, docking, language models, or generative design) with published or otherwise demonstrable results
• Strong familiarity with AlphaFold architecture and training methodology
• 2+ years of hands-on experience with PyTorch and/or JAX for deep learning
• Experience with large-scale model training: distributed training, multi-GPU/multi-node setups, mixed precision, gradient checkpointing
• Solid understanding of deep learning architectures (transformers, attention mechanisms, diffusion/flow matching) and optimization techniques
• Experience working with protein structure data (PDB, mmCIF) and/or protein sequence datasets
• Strong statistical analysis and experimental design skills
• Proficiency in Python scientific computing stack (NumPy, Pandas, scikit-learn)
• Self-directed researcher who can balance guidance with independence
• Excellent written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Experience with protein generative design methods (e.g., RFdiffusion, ProteinMPNN, flow matching approaches)
• Experience with protein language models (e.g., ESM family)
• Published research in computational biology, protein design, or structural biology
• Experience training on proprietary or domain-specific biological datasets
• Familiarity with Ray for distributed computing
• Experience with Kubernetes (EKS) and cloud computing platforms (AWS)
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience working with agentic AI coding tools for fast, parallelized execution of modeling experiments
• Previous biotech/pharma industry experience

This Role Might Be Perfect For You If:

• You have deep experience training protein foundation models and want to apply that expertise to some of the richest proprietary experimental datasets in the field
• You're excited about pushing beyond public model performance by leveraging unique, large-scale in vivo screening data
• You thrive in high-ownership roles where you can drive research direction while collaborating with a tight-knit, world-class team
• You want your models to directly impact real drug discovery programs

If you're excited to train the next generation of protein foundation models on uniquely powerful experimental data, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Position

Manifold Bio is seeking an exceptional Computational Scientist to join our growing Quantitative Biology team. You will work closely with experimental scientists to design and analyze highly multiplexed protein library experiments. You will specifically be working with traditional phage and yeast display readouts, as well as other proprietary display data. You will be expected to own and independently advance projects in areas related to your deep expertise such as protein design, DNA library design, or machine learning/biophysical modeling from MPRA data. You will work closely with our Head of Platform and our other computational scientists to onboard new capabilities that advance the M-Design platform for data-driven engineering of drugs with desired properties.

Responsibilities

• Invent new quantitative protein engineering assays working with experimental scientists
• Build robust data pipelines with rich metrics and statistics for real-time dataset analysis and reporting
• Perform analysis and "hit calling" support, contributing new insights to active projects
• Improve library design workflows to best co-optimize antibody libraries for enhanced performance
• Write and contribute robust code in shared libraries for common protein design tasks
• Collaborate on designing high-throughput experiments and analyze/interpret results from phage display (biopanning, phi-seq, in vivo) and yeast display platforms
• Deliver high-quality data reporting through slides and documentation for cross-functional teams
• Proactively share findings with colleagues through excellent documentation and discussions

Required Qualifications

• PhD and/or 4+ years of equivalent experience in computational biology, bioinformatics, protein engineering, antibody engineering, or similar field working with biological sequences
• Rich experience with Python, agentic coding, data pipeline development
• Familiarity with version control, test-driven development, and Unix computing
• Strong antibody engineering background with first-hand experience in antibody design, optimization, or discovery
• Experience with massively parallel reporter assays (MPRAs) and high-throughput screening data analysis
• Experience designing DNA libraries for binders, DMS, phage display, or equivalent high-throughput experiments
• Experience working with Next Generation Sequencing (NGS) data from library-based experiments
• Strong understanding of statistics fundamentals and data analysis methodologies
• Outstanding written and verbal communication skills for cross-functional collaboration

Preferred Qualifications

• Intuition or exposure to best practices in software/data engineering
• Industry experience in antibody therapeutic development or biotechnology R&D
• Track record of developing computational tools or pipelines adopted by experimental teams
• Experience mentoring junior scientists or leading cross-functional project teams
• Publications or patents in antibody engineering, protein design, or high-throughput screening methods
• Familiarity with cloud computing platforms (AWS, GCP) and containerization technologies

This Role Might Be Perfect For You If

• You thrive in collaborative environments where computational insights directly guide experimental decisions
• You're energized by translating complex datasets into actionable recommendations for drug discovery teams
• You enjoy building robust, production-quality tools that others rely on for critical decisions
• You're passionate about the therapeutic potential of engineered antibodies and want to accelerate their development
• You love working at the intersection of cutting-edge computational methods and innovative experimental platforms

Base Salary Range: $118,000-138,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

If you’re excited to build a platform that combines these technologies to revolutionize how protein therapeutic discovery happens, please reach out to careers@manifold.bio.

Position

We are seeking an exceptional scientist with expertise in library-based methodologies and substantial wet-lab experience to join our team. In this role, you will lead comprehensive library-based projects from conception to completion, engineering therapeutic proteins with transformative potential. You will develop and execute novel high-throughput screening assays, design and construct DNA libraries using advanced cloning techniques, and analyze complex library screens, including massively parallel in vivo screens powered by our proprietary mCode protein barcoding technology. You will work with a highly interdisciplinary team of creative experimental, computational, and hybrid scientists to advance high-throughput protein engineering and synthetic biology initiatives. As a key member of our growing company, you will contribute to building a culture that embraces scientific boldness and a strong team-focused approach to solving problems.

Required Qualifications

Wet Lab Expertise:

• Masters/PhD or equivalent experience in molecular biology, bioengineering, or a related field.
• Proficiency in standard molecular biology techniques and protocols.
• Hands-on experience with phage-based display approaches.
• Experience designing and constructing diverse DNA libraries for protein engineering applications.
• Proven capability in library-based protein engineering, including experience with high-throughput or multiplexed assay formats.
• Skilled in designing, executing, and analyzing complex experimental workflows from end to end.

Core Competencies:

• Detail-oriented with exceptional organizational and communication skills.
• Curious and flexible, with a strong desire to work collaboratively within a fast-paced and multidisciplinary team environment.
• A love for tinkering with biological parts and solving challenges to develop novel assays.
• Enthusiasm for combining rational design with unbiased approaches to problem-solving.

Preferred Qualifications

• 2+ years of start-up, biotech, or pharma experience in protein engineering or assay development.
• Direct experience with display technologies and selections including phage, yeast, and/or ribosome display.
• Hands-on experience with generating and maintaining overexpression cell lines.
• Hands-on experience with Next Geneneration Sequencing (NGS).
• Experience with handling/processing animal tissues.
• Experience developing or engineering brain shuttle technologies for improved blood-brain barrier transport.
• Familiarity with screening-based methods with an NGS readout, e.g. DMS, MPRA, CRISPR screening, cancer screens, single cell sequencing.
• Experience with data analysis (Python or R).

Base Salary Range: $118,000-138,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Position

Manifold Bio is seeking a scientist to build and own a high-throughput, automated cell-free display platform for screening computationally designed protein binder libraries against hundreds of therapeutic receptor targets. This platform will be a cornerstone of Manifold's closed-loop AI-driven molecule discovery engine, generating the large-scale, high-quality binding data needed to train and improve our design models. The ideal candidate is a hands-on scientist with deep expertise in cell-free display technologies and a drive to build automated systems that can operate at scale. You will work at the intersection of protein engineering, laboratory automation, and ML-guided drug discovery, collaborating closely with our binder discovery, ML, and automation teams.

Responsibilities

• Design, develop, and validate a cell-free display platform (cDNA display or similar) compatible with diverse binder formats 
• Work with automation team to scale and automate the platform to enable routine, high-throughput screening against large panels of therapeutic targets
• Collaborate with ML and computational teams to ensure screening outputs feed effectively into model training pipelines
• Work with the protein engineering team to support discovery campaigns and affinity maturation as platform capacity allows 
• Stay current on advances in cell-free display, laboratory automation, and computational protein design

Required Qualifications

• PhD or equivalent experience in protein biochemistry, molecular biology, biological engineering, or a related field
• Hands-on experience with cell-free selection systems (cDNA display, mRNA display, ribosome display, or similar)
• Strong molecular biology fundamentals and demonstrated ability to develop and troubleshoot complex, multi-step workflows
• Experience with or strong interest in laboratory automation

Preferred Qualifications

• Track record of successfully automating complex laboratory workflows
• Background in therapeutic antibody discovery or protein engineering 
• Experience with computational protein design
• Familiarity with how high-throughput screening data feeds into ML and computational pipelines
• Experience with complex or non-traditional binder formats and biochemical intuition to adapt selection workflows accordingly

Why you might be a good fit

• Building systems that generate data at a scale previously impossible excites you
• You thrive in fast-moving environments where you own a problem end-to-end
• You are energized by working at the intersection of wet lab science, automation, and AI-driven biotherapeutic discovery
• You are a collaborative scientist who communicates well across teams with different technical backgrounds

Base Salary Range: $118,000-138,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Position

Manifold Bio is seeking an exceptional Machine Learning Scientist to lead research initiatives within our AI team and drive innovation in protein design methodologies. This role will support and enrich the team’s current generative de novo protein design capabilities, as well as break ground on building foundational models on relevant protein therapeutic properties including binding affinity, developability, and in vivo biodistribution and pharmacokinetic (PK) properties. You will be expected to independently conceive, design and execute high-impact research projects that push the boundaries of AI applications in protein design, while contributing to publications and representing Manifold’s scientific contributions to the broader research community.

This is an on-site role and can be based in either Boston, Massachusetts or San Francisco, California. Please only apply if you reside in these cities or are open to relocate. 

Responsibilities

• Lead independent research projects exploring novel AI/ML approaches for protein design and optimization
• Investigate and integrate novel data types to enhance our binder design capabilities and therapeutic development
• Develop and validate cutting-edge machine learning methodologies for molecular engineering applications
• Mentor and guide junior scientists and engineers in advanced ML techniques and research methodologies
• Drive strategic research planning and identify promising new directions for AI-driven drug discovery
• Lead cross-functional teams to translate research breakthroughs into therapeutic applications
• Provide scientific expertise for business development opportunities and strategic partnerships

Required Qualifications

• PhD in Machine Learning, Computational Biology, Bioinformatics, Computer Science, or related field
• 5+ years of industry experience in machine learning research, preferably in biotechnology or pharmaceutical settings
• Expert-level proficiency in PyTorch and/or JAX with extensive experience in novel architecture development
• Deep expertise in protein structure analysis, molecular dynamics, computational biology, or structural bioinformatics
• Extensive knowledge of modern AI advances in protein analysis, design, and optimization
• Advanced understanding of deep learning architectures, particularly transformers for molecular applications, as well as generative modeling approaches (autoregressive, diffusion, flow-matching, etc.)
• Proven experience leading research teams and mentoring junior scientists
• Strong background in statistical analysis, experimental design, and rigorous scientific methodology
• Experience with distributed computing, high-performance computing, and large-scale ML system design
• Outstanding written and verbal communication skills with experience presenting to scientific and business audiences
• Demonstrated ability to translate research innovations into practical applications

Preferred Qualifications

• Previous experience in biotech/pharma industry with focus on AI-driven drug discovery
• Knowledge of protein engineering, directed evolution, or structural biology wet lab techniques
• Experience with large-scale data engineering, cloud platforms, and production ML systems
• Demonstrated track record of published research in top-tier ML, computational biology, or protein design journals
• Track record of successful grant funding and research proposal writing
• Experience with regulatory considerations for AI applications in therapeutic development
• Strong network within the computational biology and protein design research communities
• Demonstrated leadership in cross-functional scientific teams
• Experience with intellectual property development and patent applications

This Role Might Be Perfect For You If

You are passionate about leveraging state of the art machine learning approaches to solve challenging disease areas

• You have rich AI/ML experience and are looking to pivot into biotech

If you're excited to build scalable ML systems that revolutionize protein therapeutic discovery, please reach out to careers@manifold.bio.

Base Salary Range: $140,000-225,000

This reflects the typical offer range for this role, based on experience, role scope, and internal equity. Final compensation decisions are made using a consistent leveling framework and consider the candidate’s experience, interview performance, and expected impact.

This role is eligible for:

• Annual performance-based target bonus
• Stock options
• Comprehensive medical, dental, and vision coverage
• 401(k) plan
• Flexible paid time off and holidays
• Perks including on-site gym, onsite lunch, and commuter support

Our compensation ranges are reviewed annually to ensure alignment with market trends and internal equity.

Salary Band: $160,000-$220,000

Location: Downtown Boston, MA (In-Office Minimum 3 Days/week)

Position Summary

Antares Therapeutics is seeking an enthusiastic and self‑motivated Senior Scientist/Principal Scientist, Toxicology to join the Nonclinical Development group and support nonclinical safety assessment activities from discovery through IND‑enabling stages across the Antares pipeline.

The successful candidate will play a key role in the design, execution, and interpretation of nonclinical safety studies, working both hands‑on in the laboratory and in close collaboration with external CROs. This role requires scientific independence, strong technical expertise in in vitro and in vivo safety assessment, and effective cross‑functional collaboration in a fast‑paced, matrixed environment.

Key Responsibilities

• Serve as a nonclinical safety representative on cross‑functional Discovery and Development project teams, supporting program progression through IND‑enabling stages.
• Design, execute, and troubleshoot nonclinical safety studies, including hands‑on assay execution, data generation, and interpretation. Up to 40% of time in the lab. 
• Support the oversight of GLP and non‑GLP nonclinical safety studies conducted at CROs, including active involvement in troubleshooting assay‑ and study‑related challenges.
• Work in the laboratory to establish and run in vitro safety assays, with an emphasis on New Approach Methodologies (NAMs).
• Analyze and interpret study data, contributing to study reports, regulatory documentation, and IND‑supporting materials under guidance.
• Collaborate closely with Pharmacology, DMPK, and other functional teams to support exploratory and mechanistic safety studies.
• Identify and communicate potential safety findings and actively contribute to discussions on risk assessment, data interpretation, and next‑step recommendations.
• Ensure all studies and internal activities are conducted in compliance with regulatory guidelines, GLP principles, and internal standards.

Required Qualifications

• Ph.D. or M.S. in Toxicology or a related scientific discipline.
• Minimum 5+ years of industry experience in pharma or biotechnology focused on nonclinical safety assessment.
• Demonstrated ability to work independently while contributing scientific expertise within cross‑functional teams.
• Experience supporting nonclinical safety programs from discovery through IND‑enabling stages.
• Strong problem‑solving skills, attention to detail, and ability to manage multiple priorities in a dynamic environment.

Preferred Expertise

• Hands‑on experience with one or more of the following:
• In vitro 3D models
• In vitro safety screening platforms
• Familiarity with NAM‑based approaches for safety assessment.
• Experience interacting with and overseeing work performed at external CROs.

Personal Attributes

• Proactive, collaborative, and scientifically curious.
• Positive, flexible attitude with the ability to thrive in a matrixed, fast‑paced biotech environment.
• Strong written and verbal communication skills.

The anticipated annual salary range for this position is $160,000-$220,000 annually. The actual salary offered will be based on a number of factors, including but not limited to the qualifications of the applicant, years of relevant experience, level of education attained, certifications or other professional licenses held, and if applicable, the location in which the applicant lives and/or from which they will be performing the job.

ABOUT THE ROLE

The Sr. Scientist LNP Formulation & Process Development will contribute to the development and optimization of nChroma’s Lipid Nanoparticle (LNP) formulations and collaborate with both internal research teams and external CROs/CDMOs to support multiple programs spanning early research and development. 

RESPONSIBILITIES

• Leverage both internal team and external CROs to optimize and produce high quality LNPs to support efforts spanning early research and development.
• Provide SME support for external production with our CDMO partners.
• Lead from the bench and contribute to a high-performing Formulation & PD team, including initiating excellent laboratory and documentation practices, and providing mentorship and development opportunities for junior team members.
• Contribute as CMC representative for GMP production support & regulatory filings as needed. Collaborate with key stakeholders from research, drug substance, analytical development, pharmacology and other internal functions to support program, department, and corporate goals.

SKILLS & COMPETENCIES:

• Hands on experience with LNP formulation including optimization, conjugation, scale-up.
• Direct managerial experience.
• Excellent analytical, problem solving and critical thinking skills, including an ability to combine attention to detail with a big picture perspective.
• Strong oral and written communication skills with experience presenting scientific research.
• Ability to thrive in a fast-paced, innovative, and, at times, uncertain or changing environment while remaining flexible, proactive, and resourceful.
• Adept at prioritizing and managing multiple tasks simultaneously, integrating cross-functional issues, and balancing competing priorities effectively.
• Collaborative and team-oriented mindset with a desire to positively impact culture.

QUALIFICATIONS:

• 4-5 years in the biopharmaceutical industry with a proven track record with nucleic acids delivery, LNP formulation and scale up, including tech transfer to GMP suites.
• Advanced degree in Chemistry, Biophysics, Biochemistry, Bioengineering, or related life sciences with strong scientific background.
• Preferred in-depth experience with analytical assays for LNP characterization.
• Experience providing guidance and mentorship to junior scientists.
• Experience supporting development programs, including communicating between CMC and Program Teams.

The salary range for this role is $145K - $175K

Description of Role

Centessa is seeking a Senior Scientist in Discovery DMPK to partner with pharmacologists and medicinal chemists to support the identification of lead candidates with optimal DMPK properties for potential progression into development. Reporting to the Executive Director, DMPK, this role requires understanding of pharmacokinetic (PK), pharmacodynamic/pharmacokinetic (PK/PD), and ADME principles to enable triaging & progression of small molecule leads. A qualified candidate will have previous experience in PK and PK/PD modeling, ideally for CNS drug candidates, and an understanding of vital ADME properties for CNS drug candidate progression.

Key Responsibilities

• Design profiling strategies (including in vitro ADME assays) to evaluate compounds and series emerging from hit identification effort
• Design PK/PD strategies to advance lead identification and optimization series
• Protocol development and data analysis of PK and PK/PD studies for proof-of-concept studies
• Review statements of work (SOWs) to ensure alignment with project objectives
• Analyze and interpret in vitro and in vivo PK and PK/PD data, ensuring accuracy and consistency
• Utilize AI tools in prediction of PK properties and guide the use of such technology in supporting SAR development in lead identification and optimization phases
• Author and review compound checklists for drug candidate progression
• Represent the DMPK function in project team meetings; present results and contribute to data-driven decision-making.

Qualifications

• Ph.D. in Pharmaceutical Sciences, Pharmacology or a related field
• Minimum of 4 years of industry experience in a biotech or pharmaceutical setting
• Proficiency with Phoenix WinNonlin and other software for PK and PK/PD modeling in small molecule drug discovery is essential
• Previous work in the early discovery and lead optimization of CNS drug candidates is essential
• Strong analytical and problem-solving skills
• Demonstrated ability to work cross-functionally and communicate scientific findings clearly and effectively
• Collaborative mindset and sense of urgency
• Proactive and excellent communication skills

Compensation

The annual base salary range for this position is $160,000 - $180,000. Individual compensation within this range will be determined based on a variety of factors, including qualifications, skills, relevant experience, and job knowledge.

In addition to base pay, this role is eligible for a discretionary annual bonus and participation in our equity program, allowing you to share in Centessa’s long-term success.

Centessa also offers a comprehensive benefits package, which includes a 401(k) plan, company-sponsored medical, dental, vision, and life insurance, generous paid time off, and a health and wellness program.

Work Location

The Sr. Scientist, DMPK is a remote role based in the US, with infrequent travel (~10%).

POSITION: Full-Time, Exempt

Company Overview

Tango Therapeutics is a biotechnology company dedicated to discovering novel drug targets and delivering the next generation of precision medicine for the treatment of cancer.

Using an approach that starts and ends with patients, Tango leverages the genetic principle of synthetic lethality to discover and develop therapies that take aim at critical targets in cancer.

This includes expanding the universe of precision oncology targets into novel areas such as tumor suppressor gene loss and their contribution to the ability of cancer cells to evade immune cell killing.

The Tango labs and offices are located at 201 Brookline Avenue, in the Fenway area of Boston, Massachusetts

Summary

Tango Therapeutics has an exciting new opportunity for an experienced and innovative translational scientist in our Translational Medicine Team, to lead clinical biomarker development, in vitro diagnostic and companion diagnostic activities in support of ongoing clinical trials.  This role will drive cross functional collaboration among discovery biologists, translational scientists, clinical operations, data management, regulatory, clinical compliance and quality groups to deliver biomarker insights to clinical development teams.  Additionally, this position will administer operational aspects of clinical biomarker assays in clinical trials, including management of internal and external translational collaborations, third party laboratories and other clinical partners.

Your Role

• Oversee design, development, validation, verification and implementation of translational and clinical-grade biomarker assays to inform essential clinical research questions
• Compile clinical biomarker assay data, conduct in-stream analyses, and package those translational insights for communication to key stakeholders throughout the clinical development organization
• Author and contribute content to biomarker plans and clinical study protocols
• Execute risk management of novel clinical biomarker assays, managing oversight and quality control of pre-analytic, analytic, and post-analytic assay components
• Perform technical assessments of existing and novel clinical biomarker assays and assay platforms for suitability, validity, clinical utility, robustness, and feasibility to meet business objectives
• Identify and vet translational and clinical biomarker assay vendors according to Tango’s GxP processes
• Manage relationships with third party vendors to ensure clinical biomarker assay outputs are delivered on-time, on-budget, and on-target to meet or exceed functional requirements and business objectives
• Install data transfer specifications with clinical biomarker assay laboratories, working in partnership with Tango’s clinical data management organization
• Contribute scientific expertise and biomarker data analysis in support of IVD regulatory submissions
• Contribute to optimization of translational medicine business process infrastructure
• Additional duties and responsibilities as required

What You Bring

• Advanced degree in biological sciences or related, with at least 5 years relevant translational clinical experience in biopharma
• Experience in oncology drug development
• Track record of developing successful translational clinical assets in a biopharma setting
• Demonstrated proficiency in clinical biomarker data generation, aggregation and analysis
• Demonstrated facility in a GxP setting
• Familiarity with domestic and/or international regulatory review and approval of IVD assays
• Outstanding analytical skills, a highly organized approach and exceptional attention to detail
• Proven track record as a collaborative team player, with superior communication style and well-developed interpersonal skills
• Ability to thrive in an interdisciplinary setting across pre-clinical and clinical development arenas, and with colleagues at all levels

This is a hybrid/flexible role!

#LI-Hybrid

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

About the Position 

As a Data Scientist on the platform prediction team, you'll translate our probability of success predictions into measurable portfolio-level outcomes. You'll architect core systems — order management, execution simulation, portfolio construction, risk monitoring, and performance attribution — that let us rigorously evaluate signals from our AI-driven predictions in public and private equities and our internal portfolio.

This role sits at the intersection of quantitative finance, healthcare data, and AI-driven drug development. If you're excited about applying portfolio construction and risk management fundamentals to one of the most consequential prediction problems in healthcare, this is the role.No other company — hedge fund or pharma — has a technical data science position translating drug development experience into durable AI-native portfolio strategies. The skills you develop here — portfolio construction over assets with radically asymmetric risk profiles, clinical trial analytics, AI/ML in production, and risk management across multi-year horizons — can directly impact the delivery of new and effective therapeutics to patients by best aligning impactful medicines with economic incentives.

Responsibilities

• Work with the team to implement and maintain core portfolio engine: order management system, execution simulation layer, portfolio construction service, and performance tracking
• Design risk frameworks that quantify exposure across a portfolio of drug development bets with radically different risk profiles, timelines, and failure modes
• Run rigorous backtesting experiments with strict temporal constraints to evaluate Formation strategies against baseline approaches and measure marginal signal from new evidence sources
• Coordinate across the organization to integrate internal Formation data sources (clinical trial data, genomic evidence, real-world data) and proprietary tooling into portfolio analytics pipelines
• Work with product and engineering teams to build dashboards and reporting that communicate portfolio performance, risk metrics, and strategy comparisons to both technical and executive stakeholders
• Collaborate with the broader data science team to ensure portfolio-level evaluation feeds back into model improvement and evidence prioritization

About You 

Required Qualifications

• MS or PhD in a quantitative field (statistics, finance, physics, computational science, engineering, or related)
• 1-3 years in a quantitative research, data science, or analytics role — finance, healthcare, academic research, or consulting all count; substantive internships qualify
• Strong Python programming skills with experience in data-intensive workflows (pandas, numpy, scipy)
• Solid grasp of core portfolio construction and risk concepts: position sizing, rebalancing, Sharpe ratio, drawdown, volatility, benchmark comparison
• Demonstrated ability to work with messy, real-world datasets — comfortable with data wrangling, deduplication, and quality assessment
• Clear communicator who can present quantitative results to both technical peers and business stakeholders

Preferred Qualifications

• Experience with backtesting frameworks or portfolio simulation (vectorbt, Backtrader, or custom implementations)
• Exposure to healthcare, pharma, or biotech data (clinical trials, claims data, -omics, real-world evidence)
• Familiarity with alternative data in a research or investment context
• Experience with probability-of-success modeling, drug development decision analysis, or health economics
• Comfort with LLMs or AI/ML pipelines in a production or research setting
• Familiarity with dashboard/visualization tools (Streamlit, Plotly, Dash) and pipeline orchestration (Dagster, Airflow)

Healthcare OR finance domain knowledge is valued; both are not required.

Total Compensation Range: $154,500 - $202,000

About the Position

As a Principal Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 

Responsibilities

• Lead and execute complex data science projects that directly advance our drug development portfolio 
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints 
• Aid in the development and training of AI agents to automate and optimize biomedical workflows 
• Collaborate cross-functionally with clinical, technical, and research teams 
• Present complex analytical findings to senior stakeholders, including executive leadership 

About You

Required Qualifications 

• PhD in computational sciences or life sciences 
• 5+ years of post-academic experience in life sciences (biotech, pharma, consulting) 
• Strong programming skills, particularly in Python 
• Extensive experience in multi-modal bioinformatics analysis 

Preferred Qualifications 

• Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases 
• Strong background in machine learning and deep learning, particularly in biological applications 
• Experience with large language models (LLM)
• Demonstrated ability to collaborate effectively with engineering teams on production systems
• Strong communication skills with proven ability to present complex technical findings to senior stakeholders 

Total Compensation Range: $204,500 - $267,000

About the Position

As a Principal Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

• Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
• Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
• Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
• Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
• Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
• Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
• Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
• Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
• Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
• Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
• Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
• Knowledge of clinical trial design and experience with imaging core lab operations
• Experience with federated learning or privacy-preserving techniques for medical imaging
• Understanding of radiomics and quantitative imaging biomarker development
• Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $204,500 - $267,000

About the Position

We're looking for a Senior Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help transform Real World Data (RWD)—spanning electronic health records, claims, and other longitudinal patient data sources—into structured, analytics-ready assets. In this role, you'll be partnering closely with our Data Science team not only to model and transform data, but also to actively analyze it: answering research questions, generating evidence, and supporting scientific decision-making across our drug portfolio.

This position sits at the intersection of healthcare data engineering, real-world evidence analysis, and generative AI. While a strong foundation in building reliable, scalable pipelines is essential, you'll be equally expected to roll up your sleeves and work directly with the data—constructing cohorts, running analyses, and translating findings into actionable insights for scientific and business stakeholders.

The ideal candidate is a hybrid of data engineer and applied scientist: someone who can build the infrastructure and then use it, with familiarity in RWD study design, GenAI fluency (e.g., LLM-based entity extraction, summarization, classification), and strong technical expertise with modern data tooling. You'll play a key role in shaping how real-world patient data becomes discoverable, structured, and impactful across the organization.

Responsibilities

• Model and transform raw EHR and claims data into clean, canonical, and analytics-ready datasets using SQL, Python, and clinical standards like OMOP.
• Build and manage scalable data pipelines using Dagster for orchestration, dbt for transformation, and Snowflake as the primary compute and storage engine.
• Conduct hands-on RWD analyses to answer scientific and strategic research questions—including disease epidemiology, treatment patterns, patient journey characterization, and comparative effectiveness.
• Partner with Data Scientists and clinical leads to design and execute observational studies, translating scientific questions into well-structured, reproducible analyses.
• Implement data validation, completeness, and observability frameworks to ensure real-world datasets are accurate, comprehensive, and trustworthy for downstream research and product use.
• Apply Generative AI techniques within transformation and analysis layers to accelerate data structuring and insight generation.
• Communicate findings clearly to both technical and non-technical stakeholders, including summaries for portfolio teams and leadership.

About You

• You have 5+ years of experience in data engineering, ideally with at least 2 years working in healthcare or life sciences, including direct exposure to EHR or claims datasets.
• You have experience with ontologies and biomedical schemas (e.g. UMLS, LOINC, ICD9/10, MeSH) and understand the modalities found within RWD — billing claims, lab results, visit notes.
• You're fluent in SQL and Python, and you've built and maintained production-grade pipelines that support analytics or scientific workflows.
• You have experience building longitudinal patient cohorts from EHR or claims data, including index date logic, washout periods, and follow-up window construction.
• You have a solid understanding of the causal inference frameworks such as potential outcomes and target trial emulation. 
• You have working familiarity with real-world evidence study design concepts—such as active comparator new user designs, time-to-event outcomes, confounder adjustment, and causal discovery algorithms—sufficient to partner effectively with Data Scientists on causal inference workflows.
• You value clarity, documentation, and structured thinking—especially when working with complex healthcare data.
• You have hands-on expertise with modern data infrastructure, such as Snowflake, dbt, and Dagster.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You've worked in regulated or privacy-sensitive data environments and are familiar with governance models for PHI or sensitive data.
• Bonus: You have prior experience working with commercial RWD vendors (e.g. Truveta, Optum, Komodo, IQVIA) and understand the nuances of licensed claims and EHR datasets, including longitudinal patient journey construction and line-of-therapy sequencing.

Total Compensation Range: $204,500 - $267,000

About the Position

As a Senior Data Scientist at Formation Bio, you will be at the forefront of revolutionizing drug development through AI and advanced analytics. In this role, you'll lead crucial initiatives that directly impact our drug development portfolio, from developing sophisticated models for patient selection to creating AI-powered solutions for clinical trial optimization. You'll work at the intersection of computational biology, machine learning, and drug development, collaborating with cross-functional teams to translate complex biological data into actionable insights. This position offers a unique opportunity to shape the future of pharmaceutical development by leveraging cutting-edge AI technologies while making a meaningful impact on patient lives. 

Responsibilities

• Lead and execute complex data science projects that directly advance our drug development portfolio 
• Develop and implement sophisticated models for therapeutic hypothesis evaluation, including patient stratification and biomarker identification
• Design and create AI models for modernizing clinical trial evaluations, including surrogate endpoints 
• Aid in the development and training of AI agents to automate and optimize biomedical workflows 
• Collaborate cross-functionally with clinical, technical, and research teams 
• Present complex analytical findings to senior stakeholders, including executive leadership 

About You

Required Qualifications 

• PhD in computational sciences or life sciences 
• 3+ years of post-academic experience in life sciences (biotech, pharma, consulting) 
• Strong programming skills, particularly in Python 
• Extensive experience in multi-modal bioinformatics analysis 

Preferred Qualifications 

• Proven expertise in cloud computing environments, including proficiency with tabular and/or graph databases 
• Strong background in machine learning and deep learning, particularly in biological applications 
• Experience with large language models (LLM)
• Demonstrated ability to collaborate effectively with engineering teams on production systems
• Strong communication skills with proven ability to present complex technical findings to senior stakeholders 

Total Compensation Range: $170,000 - $215,000

About the Position

As a Senior Data Scientist - Medical Imaging at Formation Bio, you will lead our efforts to integrate advanced imaging analytics and AI into our drug development pipeline. In this role, you'll pioneer the application of computer vision and deep learning to medical imaging data (MRI, X-ray, CT, PET) to accelerate clinical trials and improve patient outcomes. You'll develop state-of-the-art models for automated image analysis, disease progression monitoring, and treatment response assessment. Working closely with clinical teams, radiologists, and drug development experts, you'll translate complex imaging data into actionable insights that drive key decisions across our portfolio. This position offers a unique opportunity to revolutionize how medical imaging is leveraged in pharmaceutical development while directly impacting patient care.

Responsibilities

• Lead the development of advanced deep learning models for medical image analysis, focusing on MRI and X-ray modalities for clinical trial applications
• Design and implement automated image processing pipelines for disease detection, segmentation, and quantification across multiple therapeutic areas
• Create innovative approaches for longitudinal image analysis to track disease progression and treatment efficacy in clinical trials, incl. AI-based biomarkers and surrogate endpoints
• Collaborate with clinical operations to integrate imaging AI solutions into trial protocols and workflows
• Partner with regulatory teams to ensure imaging biomarkers and AI models meet FDA standards for clinical trial endpoints
• Build scalable infrastructure for processing and analyzing large-scale medical imaging datasets from multi-site clinical trials
• Present imaging insights and model performance to executive leadership and external partners

About You

Required Qualifications 

• PhD in Computer Science, Biomedical Engineering, Medical Physics, or related field with focus on medical imaging
• 5+ years of post-PhD industry experience developing production-grade AI models for medical imaging applications
• Deep expertise in computer vision and deep learning architectures (CNNs, U-Net, Vision Transformers) for medical image analysis
• Proven track record with MRI and X-ray image analysis, including hands-on experience with DICOM standards and medical imaging software
• Strong programming skills in Python with expertise in PyTorch/TensorFlow and medical imaging libraries
• Demonstrated ability to collaborate with radiologists and clinical teams to translate medical insights into technical solutions
• Strong communication skills with proven ability to present complex imaging analytics to diverse stakeholders

Preferred Qualifications 

• Experience with regulatory submissions involving imaging endpoints or AI-based image analysis tools
• Experience with multi-modal imaging fusion and analysis (combining MRI, CT, PET data)
• Knowledge of clinical trial design and experience with imaging core lab operations
• Experience with federated learning or privacy-preserving techniques for medical imaging
• Understanding of radiomics and quantitative imaging biomarker development
• Experience with 3D image reconstruction and volumetric analysis

Total Compensation Range: $177,500 - $232,000

Company Overview

We are the better way to work in finance. As private equity’s value creation partner, we sit at the heart of PE—where sponsors and CFOs meet. Through financial consulting rooted in data, technology, and AI, we help clients drive value—supporting the office of the CFO to drive end-to-end value creation.

If you crave challenging work and are looking to grow, come solve complex issues alongside 1,600+ finance & technology experts in a supportive, collaborative environment.

Backed by premier private equity firms and headquartered in New York with 11 offices around the globe, we are a high-growth, entrepreneurial firm looking for people who want to be part of building something great. Come make your mark. 

Data & Analytics

Accordion's Data & Analytics (D&A) team offers cutting-edge, intelligent solutions to a global clientele, leveraging a blend of domain knowledge, sophisticated technology tools, and deep analytics capabilities to tackle complex business challenges.

We partner with Private Equity clients and their Portfolio Companies across diverse sectors, including Retail, CPG, Healthcare, Media & Entertainment, Technology, and Logistics.

We deliver data and analytical solutions designed to streamline reporting capabilities and enhance business insights across vast and complex data sets ranging from Sales, Operations, Marketing, Pricing, Customer Strategies, and more.

This role can be based in any of our US office locations and is a hybrid role with the flexibility to work remotely 2 days a week. Ideal candidates should be local to the desired location.

This position is not eligible for immigration sponsorship.

About the Role and You

We're looking for a rare combination: a data scientist who thinks like a strategist and a strategist who speaks fluent data. You fall in love with problems and quantify complex situations using math. This isn't a role about building models in isolation—it's about transforming how a business makes decisions, identifies opportunities, and drives growth. You'll be equal parts analyst, advisor, and architect of our strategic direction.

What You'll Do

You'll sit at the intersection of data and strategy, turning complex business challenges into quantifiable opportunities. This means diving deep into our numbers to surface insights that others miss, then translating those insights into actionable growth strategies. You'll work directly with leadership to shape major business decisions, from market expansion and pricing strategy to resource allocation and competitive positioning.
Your day-to-day will involve identifying the right questions to ask before anyone else thinks to ask them, building the analytical frameworks to answer those questions, and presenting recommendations that fundamentally shift how we operate. You'll own strategic initiatives from conception through execution, measuring impact and iterating as you go. You’ll travel to client sites as needed, leading AI assessment and Strategy Engagements.

What We're Looking For

The Strategic Mindset: You naturally think several moves ahead. You understand business models, competitive dynamics, and growth levers. You can walk into a room with executives and hold your own in discussions about market strategy, unit economics, and long-term planning. You've seen how businesses succeed and fail, and you know how to spot the difference.
The Technical Depth: You're genuinely strong in quantitative methods—statistics, predictive modeling, optimization, experimental design. You can wrangle messy data, build robust analyses, and know when a sophisticated model is needed versus when a simple calculation will do. Python, R, SQL are still in your wheelhouse.
The Translation Layer: You can explain complex analytical concepts to non-technical stakeholders without dumbing them down. You know how to build conviction around data-driven recommendations and can defend your methodology when challenged. You make the quantitative accessible and actionable.
The Business Acumen: You understand P&Ls, growth metrics, customer economics, and operational levers. You've worked closely enough with business teams to know what keeps them up at night and how your analyses can help them sleep better.

Requirements

• 5+ years of experience in analytical roles with increasing strategic responsibility
• Strong foundation in statistics, machine learning, and quantitative analysis
• Demonstrated experience influencing business strategy through data
• Track record of identifying and driving growth opportunities
• Excellent communication skills with technical and executive audiences
• Proficiency in modern data science tools and languages
• Understanding of business finance and growth frameworks

Ideal Background

You might come from management consulting with deep analytical chops, strategic roles at high-growth companies, corporate strategy teams with hands-on data work, or data science roles where you've grown into strategic advisory. What matters most is that you've successfully used data to change how businesses operate and grow.

What Success Looks Like

In your first year, you'll have identified three major strategic opportunities we weren't seeing before, built the analytical infrastructure to evaluate them rigorously, and driven at least one to implementation with measurable business impact. You'll have become a trusted advisor to leadership and the person they turn to when facing the company's thorniest strategic questions.

The annual salary for this role ranges from: $145,000 to $195,000 USD + bonus + benefits. Actual compensation packages are determined by evaluating a wide array of factors unique to each candidate, including but not limited to geographic location, skill set, years and depth of experience, education, certifications, cost of labor and internal equity.

Accordion is an Equal Opportunity Employer. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills.  We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical​​​ condition, pregnancy, genetic information, gender, sexual orientation, gender identity or ​expression, veteran status, or any other status protected under federal, state, or local law.

Please note that as per Accordion policy, we do not accept unsolicited resumes from third-party recruiters unless such recruiters are engaged to provide candidates for a specified opening and in alignment with our inclusive diversity values. Any employment agency, person or entity that submits an unsolicited resume does so with the understanding that Accordion will have the right to hire that applicant at its discretion without any fee owed to the submitting employment agency, person or entity.

#LI-BS1

Your Impact

We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state-of-the-art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross-functional teams to design, develop, and deploy cutting-edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data.

What You’ll Do
Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see https://www.axon.com/company)

• US: Seattle, Boston, Scottsdale

Responsibilities

• Own one or more key technical areas across LLM, MLLM, CV product portfolio.
• Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature.
• Research and develop cutting-edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources.
• Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data.
• Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding.
• Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource-constrained devices.
• Join force with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures.
• Evaluate the performance of LLM, MLLM, CV models using real-world datasets and design experiments to validate their effectiveness.
• Stay up-to-date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects.
• Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community.
• Experience coach and mentor junior scientists.

What You Bring

• PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, +10 years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI.
• Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top-tier conferences or journals.
• Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system.
• Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end-to-end training pipeline.
• Leverage state-of-the-art research to deliver high quality models enabling multiple AI projects at scale.
• Contribute back to the research community via academic publications, tech blogs, open-source code and contributing to internal/external AI challenges
• Experience in developing computer vision algorithms for resource-constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable.
• Excellent problem-solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment.
• Strong communication skills and the ability to effectively present complex technical concepts to both technical and non-technical audiences.

Benefits that Benefit You

• Competitive salary and 401k with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, Dental, Vision plans
• Fitness Programs
• Emotional & Mental Wellness support
• Learning & Development programs
• And yes, we have snacks in our offices

Benefits listed herein may vary depending on the nature of your employment and the location where you work

Location: This role is based out of our Boston, MA office and follows a hybrid schedule. We rely on in-person collaboration and ask that team members work onsite Tuesday through Friday, with flexibility to work remotely on Mondays. We believe connection fuels innovation, and our in-office culture is designed to support meaningful teamwork and mentorship.

About the Role

As a Technical Deployment Lead on the Claude Agentic Solutions team, you will lead the delivery of custom AI agent solutions for enterprise customers in highly regulated industries. You'll own high-value engagements where we collaborate directly with customers to build and deploy agents into their most critical business processes.

This is a founding team: you will help us to build technical playbooks and define the processes and repeatable patterns needed for us to scale this emerging motion. You will champion our mission in the field, ensure world class delivery, and bring insights back to our product and research teams on a regular basis.

You'll own engagements end-to-end, from SOW through production deployment. You'll work alongside Forward Deployed Engineers who build the technical solution, while you own product scoping, stakeholder management, value measurement, and the organizational complexity that comes with deploying AI agents in enterprise environments. You need to be technical enough to hold architecture conversations with engineering stakeholders and polished enough to run executive briefings with C-suite sponsors.

Responsibilities

• Own the technical delivery plan for each engagement. Structure SOWs with clear scope, milestones, dependencies, success criteria, and value hypotheses. Translate customer business objectives into a sequenced roadmap that FDEs execute against.
• Lead technical discovery. Map customer workflows, identify constraints, define MVP scope, and shape the solution architecture for custom agent deployments.
• Run day-to-day engineering execution. Drive delivery across Anthropic and customer teams. Keep progress unblocked and sequenced. Make real-time trade-offs on scope and priority to protect the critical path.
• Own product scoping for field engagements. Define the MVP, author requirements documentation, prioritize the engineering backlog, and manage scope against success criteria as requirements evolve.
• Own the customer relationship throughout delivery. Lead executive briefings, manage stakeholder communications across technical leads and procurement, and represent Anthropic's technical credibility with senior business and engineering leaders.
• Own value measurement and ROI. Define impact hypotheses, set baselines and KPIs, run pre- and post-deployment measurement, and report outcomes to executive sponsors.
• Codify reusable delivery assets. Build solution patterns, evaluation frameworks, and technical playbooks. Extract what works across engagements and feed field signals back to Product and Research to improve our platform and models.
• Navigate enterprise and regulatory complexity. Security reviews, legal approvals, procurement processes, compliance requirements, and organizational dynamics.
• Manage scope and change. Handle evolving requirements, set expectations, negotiate contract modifications, identify risks early, and escalate with clear context when needed.
• Run delivery operations. Sprint ceremonies, milestone reviews, and progress reporting.
• Travel to customer sites. Build relationships, unblock delivery, and accelerate adoption. (25–50% expected).

You May Be a Good Fit If You

• Have led AI/ML engagements/deployments, whether as a founder, data scientist, engineer, researcher, or in a professional services or consulting role.
• Have delivered AI, ML, or LLM-based agentic solutions into production. You understand solution patterns, integration approaches, and what breaks in real environments.
• Have experience in a specialized vertical (financial services, life sciences, pharmaceutical, retail, mining, agriculture, etc.).
• Can lead architecture discussions with engineering stakeholders, evaluate technical trade-offs, and pressure-test technical decisions. You won't write production code, but you will own the technical direction of engagements alongside FDEs.
• Have a track record delivering complex, high-stakes technical projects for enterprise clients where outcomes depended on tight coordination and fast decision-making — ideally across multiple workstreams in regulated industries.
• Have executive presence — polished, credible, and comfortable representing Anthropic to senior leaders in high-stakes environments.
• Thrive in ambiguity and bring structure where none exists.
• Have a builder's mindset — you're here to create a function, not join one.

COMPANY DESCRIPTION

Abiologics, Inc. is a privately held, early-stage biotechnology company on a mission to make biology better through an innovative therapeutic modality. We are pioneering the development of Synteins™, a transformational class of macromolecular medicines unlocked by novel synthetic and computational technologies. Abiologics is actively seeking exceptional scientists who are passionate about driving therapeutic modality innovation in biotechnology.

Abiologics was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents.

THE ROLE

We are seeking an experienced and motivated Senior Scientist in Medicinal Chemistry specializing in miniprotein and peptide drugs. The successful candidate will lead projects in designing, synthesizing, and optimizing novel miniprotein therapeutics called Synteins™. This role offers a unique opportunity to bring a new drug modality from early-stage research through to clinical development.

KEY RESPONSIBILITIES

• Independently plan, execute, interpret, and optimize Syntein structure-activity campaigns through direct, hands-on laboratory work.
• Implement modern peptide chemistry and conjugation methodologies to accelerate optimization of miniprotein drug development.
• Collaborate with cross-functional teams including computational chemistry, biology, and pharmacology to drive project success.
• Drive bench-side innovation, ensuring that ideas transition seamlessly from concept to reality
• Mentor and guide junior scientists, fostering a collaborative and dynamic laboratory environment.
• Contribute to patent applications and scientific publications, showcasing lab innovation.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• Ph.D. (with a minimum of 5 years of industry experience) or M.S. (with a minimum of 12 years of industry experience) in Medicinal Chemistry, Synthetic Organic Chemistry, Chemical Biology, or related field
• Strong track record of laboratory-based innovation and problem-solving in drug discovery including optimization of affinity, selectivity, drug properties, and PK profile.
• Proven expertise in the hands-on peptide synthesis.
• Ability to lead and inspire a team of scientists in a dynamic research setting.
• Excellent communication skills for both technical and non-technical audiences.
• Able to work on-site and attend in-person meetings.

The salary range for this role is $126,000 - $181,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc’s good faith estimate as of the date of publication and may be modified in the future.

About Abiologics 

Abiologics is a Flagship Pioneering company developing Synteins™ — a transformative class of fully synthetic proteins composed entirely of artificial building blocks such as D-amino acids and non-canonical residues. SynteinsTM are designed to transcend the limitations of traditional biologics, with improved oral stability, immune evasion, and metabolic durability — all while being fully programmable by design. 

Powered by a proprietary AI-enabled discovery platform, Abiologics integrates generative design, automated synthesis, and rapid experimental screening to enable iterative optimization at scale. 

Position Summary 

We are seeking a Protein Design Scientist to join the Computational Protein Design team and help drive structure-based design and optimization of synthetic proteins. This is a highly interdisciplinary role at the interface of computational design, structural biology, and protein engineering. 

Ideal candidates have deep experience in de novo protein design, miniproteins, and binders engineering and are eager to push the boundaries of non-natural protein design in a fast-moving, data-rich environment. 

Key Responsibilities 

• Design and execute SynteinsTM engineering campaigns to generate drug candidates. 
• Create computational design strategies to deliver drug candidates drawing from array of ML tools and Rosetta scripts. 
• Collaborate with computation, chemistry, and experimental biology teams to optimize designs for function, solubility, and stability. 
• Integrate structural and biophysical data (e.g., binding, CD, HDX-MS, CryoEM) into iterative optimization cycles 

Qualifications 

Required 

• PhD in structural biology, biophysics, protein design, or related field 
• 2+ years of hands-on experience in structure-guided protein design 
• Demonstrated proficiency with modern structure prediction and design tools such as RFdiffusion, proteinMPNN, AF2, Boltz2, BoltzGen, Rosetta or equivalent SOTA tools for in-silico protein engineering. 
• Strong understanding of the biophysics of protein folding and interface energetics 
• Demonstrated ability to progress designs from concept to experimental testing 
• Excellent communication skills  

Preferred 

• Experience designing minibinders or proteins <100 AAs 
• Familiarity with non-canonical amino acid design 
• Familiarity with molecular dynamics tools. 
• Exposure to high-throughput or automated protein engineering environments 
• Prior work on platform-based or early-stage biotech teams 

Why Join Abiologics 

• Help invent a new class of programmable synthetic proteins 
• Be part of a high-velocity discovery platform with real-time synthesis and screening 
• Collaborate with a deeply interdisciplinary, mission-driven team 
• Redefine the limits of what proteins can do 

ABOUT FLAGSHIP PIONEERING:

The salary range for this role is $146,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc's good faith estimate as of the date of publication and may be modified in the future.

About Abiologics 

Abiologics is a Flagship Pioneering company developing Synteins™ — a transformative class of fully synthetic proteins composed entirely of artificial building blocks such as D-amino acids and non-canonical residues. SynteinsTM are designed to transcend the limitations of traditional biologics, with improved oral stability, immune evasion, and metabolic durability — all while being fully programmable by design. 

Powered by a proprietary AI-enabled discovery platform, Abiologics integrates generative design, automated synthesis, and rapid experimental screening to enable iterative optimization at scale. 

Position Summary 

We are seeking a Protein Design Scientist to join the Computational Protein Design team and help drive structure-based design and optimization of synthetic proteins. This is a highly interdisciplinary role at the interface of computational design, structural biology, and protein engineering. 

Ideal candidates have deep experience in de novo protein design, miniproteins, and binders engineering and are eager to push the boundaries of non-natural protein design in a fast-moving, data-rich environment. 

Key Responsibilities 

• Design and execute SynteinsTM engineering campaigns to generate drug candidates. 
• Create computational design strategies to deliver drug candidates drawing from array of ML tools and Rosetta scripts. 
• Collaborate with computation, chemistry, and experimental biology teams to optimize designs for function, solubility, and stability. 
• Integrate structural and biophysical data (e.g., binding, CD, HDX-MS, CryoEM) into iterative optimization cycles 

Qualifications 

Required 

• PhD in structural biology, biophysics, protein design, or related field 
• 2+ years of hands-on experience in structure-guided protein design 
• Demonstrated proficiency with modern structure prediction and design tools such as RFdiffusion, proteinMPNN, AF2, Boltz2, BoltzGen, Rosetta or equivalent SOTA tools for in-silico protein engineering. 
• Strong understanding of the biophysics of protein folding and interface energetics 
• Demonstrated ability to progress designs from concept to experimental testing 
• Excellent communication skills  

Preferred 

• Experience designing minibinders or proteins <100 AAs 
• Familiarity with non-canonical amino acid design 
• Familiarity with molecular dynamics tools. 
• Exposure to high-throughput or automated protein engineering environments 
• Prior work on platform-based or early-stage biotech teams 

Why Join Abiologics 

• Help invent a new class of programmable synthetic proteins 
• Be part of a high-velocity discovery platform with real-time synthesis and screening 
• Collaborate with a deeply interdisciplinary, mission-driven team 
• Redefine the limits of what proteins can do 

ABOUT FLAGSHIP PIONEERING:

The salary range for this role is $146,000 - $209,000. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc's good faith estimate as of the date of publication and may be modified in the future.

COMPANY DESCRIPTION

Abiologics, Inc. is a privately held, early-stage biotechnology company on a mission to make biology better through an innovative therapeutic modality. We are pioneering the development of Synteins™, a transformational class of macromolecular medicines unlocked by novel synthetic and computational technologies. Abiologics is actively seeking exceptional scientists who are passionate about driving therapeutic modality innovation in biotechnology.

Abiologics was founded in Flagship Pioneering’s venture creation engine, where companies such as Moderna Therapeutics (NASDAQ: MRNA) and Generate Biomedicines were conceived and created. Since Flagship’s founding in 2000, the firm has originated and fostered the development of more than 100 scientific ventures resulting in more than 500 issued patents and more than 50 clinical trials for novel therapeutic agents.

THE ROLE

We are seeking an experienced and motivated Senior Scientist in Medicinal Chemistry specializing in miniprotein and peptide drugs. The successful candidate will lead projects in designing, synthesizing, and optimizing novel miniprotein therapeutics called Synteins™. This role offers a unique opportunity to bring a new drug modality from early-stage research through to clinical development.

KEY RESPONSIBILITIES

• Independently plan, execute, interpret, and optimize Syntein structure-activity campaigns through direct, hands-on laboratory work.
• Implement modern peptide chemistry and conjugation methodologies to accelerate optimization of miniprotein drug development.
• Collaborate with cross-functional teams including computational chemistry, biology, and pharmacology to drive project success.
• Drive bench-side innovation, ensuring that ideas transition seamlessly from concept to reality
• Mentor and guide junior scientists, fostering a collaborative and dynamic laboratory environment.
• Contribute to patent applications and scientific publications, showcasing lab innovation.

PROFESSIONAL EXPERIENCE & QUALIFICATIONS 

• Ph.D. (with a minimum of 5 years of industry experience) or M.S. (with a minimum of 12 years of industry experience) in Medicinal Chemistry, Synthetic Organic Chemistry, Chemical Biology, or related field
• Strong track record of laboratory-based innovation and problem-solving in drug discovery including optimization of affinity, selectivity, drug properties, and PK profile.
• Proven expertise in the hands-on peptide synthesis.
• Ability to lead and inspire a team of scientists in a dynamic research setting.
• Excellent communication skills for both technical and non-technical audiences.
• Able to work on-site and attend in-person meetings.

The salary range for this role is $126,000 - $181,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. Abiologics, Inc currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on Abiologics, Inc’s good faith estimate as of the date of publication and may be modified in the future.

Company Summary:

FL106 Inc., is a privately held, early-stage biotechnology company focused on developing novel drug delivery modalities. FL106 is backed by Flagship Pioneering, bringing the vision and resources to guide FL106 from platform validation to real-world solutions that meaningfully improve patient care.

Position Summary:

We are seeking a passionate, creative, and self-driven (senior) scientist with expertise in computational protein design and state of the art AI/ML tooling for antibody and protein design to join our team. This candidate will pioneer the design of novel protein-based delivery modalities and collaborate with the experimental teams to test and iterate on computational designs. S/he will thrive in an entrepreneurial, fast-paced, and highly collaborative start-up environment, with the opportunity to work closely with Flagship Pioneering founders and become a leader in advancing FL106’s scientific platform and patient-focused mission.

Responsibilities:

• Drive the AI/ML computational protein design
• Engage with Pioneering Intelligence at Flagship to explore and implement novel ML models that benefit FL106 design principles
• Advance both antibody engineering and de novo antibody design pipelines
• Collaborate closely with the FL106 experimental scientists to test and iterate on constructs
• Engineer novel functionalities into protein scaffolds, leveraging structural modeling, rational design, and/or directed evolution
• Be abreast of the computational protein design field to advise design and strategic directions for protein engineering, implementing the latest technologies where necessary
• Contribute to strategic direction of the computational team at FL106, helping shape our design platform at the forefront of scientific innovation
• Identify and lead external research relationships with academic and commercial partners
• Report results to scientific team and Flagship Pioneering management

Key Qualifications:

• Ph.D. (with 2+ yrs of industry research experience) in computational protein design, protein biochemistry, computational biophysics, computational biology, physics, or related field
• Expertise in computational protein modeling and design, structural biology, and biophysics is required
• Deep expertise with ML tools for computational protein design such as AlphaFold, RosettaFold, ESMFold, ProteinMPNN, RFDiffusion, Chroma, IgFold, DeepAb, Parapredis is required
• Experience with antibody and/or nanobody modeling and design is strongly preferred.
• Knowledge of critical wet-lab techniques used in protein engineering such as phage display, SPR, ITC, CD-spectroscopy is preferred
• Strategic thinker, able to shift seamlessly between rigorous scientific details and high-level context and implications
• Instinctive team player with excellent communication skills and great attention to detail

About Flagship

Flagship Pioneering is a bioplatform innovation company that invents and builds platform companies, each with the potential for multiple products that transform human health or sustainability. Since its launch in 2000, Flagship has originated and fostered more than 100 scientific ventures, resulting in generation of over 500 patents, initiation of over 50 clinical trials for novel therapeutic agents and an aggregate value of more than $90 billion. Many of the companies Flagship has founded have addressed humanity’s most urgent challenges: vaccinating billions of people against COVID-19, curing intractable diseases, improving human health, preempting illness, and feeding the world by improving the resiliency and sustainability of agriculture. Flagship has been recognized twice on FORTUNE’s “Change the World” list, an annual ranking of companies that have made a positive social and environmental impact through activities that are part of their core business strategies and has been twice named to Fast Company’s annual list of the World’s Most Innovative Companies. Learn more about Flagship at www.flagshippioneering.com.

Flagship Pioneering is committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

At Flagship, we recognize there is no perfect candidate. If you have some of the experience listed above but not all, please apply anyway. Experience comes in many forms, skills are transferable, and passion goes a long way. We are dedicated to building diverse and inclusive teams and look forward to learning more about your unique background.

Recruitment & Staffing Agencies: Flagship Pioneering and its affiliated Flagship Lab companies (collectively, “FSP”) do not accept unsolicited resumes from any source other than candidates. The submission of unsolicited resumes by recruitment or staffing agencies to FSP or its employees is strictly prohibited unless contacted directly by Flagship Pioneering’s internal Talent Acquisition team. Any resume submitted by an agency in the absence of a signed agreement will automatically become the property of FSP, and FSP will not owe any referral or other fees with respect thereto.

The salary range for this role is $115,000 - $258,500. Compensation for the role will depend on a number of factors, including a candidate’s qualifications, skills, competencies, and experience. FL108 currently offers healthcare coverage, annual incentive program, retirement benefits and a broad range of other benefits. Compensation and benefits information is based on FL108's good faith estimate as of the date of publication and may be modified in the future.

About the Opportunity

We are seeking a highly skilled Machine Learning Scientist to drive the development and translation of cutting-edge ML models that have a direct impact on the care pathway for heart disease diagnosis and prognosis. In this role, you will collaborate with ML scientists, data engineers, biostatisticians, regulatory experts, and senior leadership to understand clinical requirements, develop innovative solutions, and support product development and regulatory approvals. You will also engage in high-impact research collaborations with world-renowned academic and medical institutions.

Responsibilities

• Research and develop state-of-the-art machine learning models for coronary CT angiography imaging applications.
• Conduct rigorous analysis and validation of machine learning algorithms and prototypes.
• Explore novel methods for processing and analyzing large, complex medical imaging datasets.
• Collaborate with engineering teams to deploy ML algorithms in clinical practice.
• Present research findings, insights, and recommendations to internal stakeholders and external collaborators.
• Author scientific publications and contribute to patent development.
• Manage collaborative research projects with leading academic partners.

Requirements

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field; OR an M.S. with 5+ years of relevant experience.
• Strong theoretical and practical expertise in image science, applied mathematics, machine learning, and deep learning.
• Research experience in applying ML and deep learning techniques to medical image processing, including segmentation, registration, classification, reconstruction, and detection.
• Proven track record of publications in top-tier medical imaging or computer vision conferences and journals (e.g., MICCAI, IEEE TMI, CVPR, Medical Image Analysis).
• Proficiency in Python, with experience handling large datasets, implementing ML pipelines, and visualizing analysis results.
• Ability to translate complex clinical requirements into machine learning solutions.
• Strong critical thinking, problem-solving, and project management skills.
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications: 

• 2+ years of postdoctoral research or industry experience.
• Hands-on experience in developing and applying advanced deep learning models, including vision transformers, semi-supervised/self-supervised/unsupervised learning, incremental learning, and continuous learning techniques.
• Strong domain knowledge in CT imaging and its clinical applications.

The base salary range for this role varies by location and is aligned to market benchmarks.

• Candidates located in higher-cost labor markets, including California, Washington, New York, New Jersey, Connecticut, Massachusetts, and Washington, DC represent the middle to high end of the range, while candidates located in all other U.S. locations represent the low to middle end of the range.
• Final compensation is determined based on location, experience, skills, and internal equity.

This role is eligible for a 15% target annual bonus, resulting in the following base salary and Total Target Compensation (TTC) ranges:

• Base Salary: $186,000 - $212,000
• TTC: $214,000 - $245,000

*Total Target Compensation (TTC): Total Cash Compensation (including base pay, variable pay, commission, bonuses, etc.) Additionally, stock options, paid benefits, and employee perks are part of your total rewards.

Role overview

As a core member of the Data Science team, the Principal Data Scientist will lead the design and development of high-impact machine learning systems that power CarGurus’ core products and strategic initiatives.  You will own models and data pipelines end-to-end from problem framing and experimentation through production deployment, monitoring, and continuous improvements. Potential areas of support and ownership include Recommendations, Search Ranking, Instant Market Value algorithms, and new ML-driven product capabilities.

What you'll do

• Own the end‑to‑end design and implementation of production ML models and systems, including model architecture, feature strategy, and evaluation methodology. 
• In partnership with Data and Analytics teams, develop and maintain data pipelines to supply training and inference data for models, using SQL and Snowflake.
• Collaborate with engineering leaders on system and API design to ensure ML solutions meet requirements for latency, reliability, observability, and maintainability in production.
• Apply best practices for experimentation and model evaluation, including offline metrics, A/B testing design, and post‑launch analysis; coach other data scientists in applying these practices rigorously.
• Communicate solutions to stakeholders through written documentation, demos and presentations, and data visualizations tailored to both technical and non‑technical audiences.

What you'll bring

• 7+ years of experience in Data Science or Machine Learning roles, with a consistent track record of shipping, owning, and iteratively improving production ML systems that drive material business impact.
• Deep expertise in Machine Learning techniques for supervised and unsupervised learning across structured and unstructured datasets. Comprehensive knowledge of, and real-world experience with, measurement, evaluation, and testing of models.
• Proven experience deploying and maintaining machine learning services in production, ideally in a cloud environment (e.g. AWS, SageMaker, Snowflake).
• High proficiency in Python (or a similar languages widely used in the data science community) and SQL, plus experience establishing coding, testing, and reproducibility standards (e.g., shared libraries, experiment tracking, templates).
• Ability to communicate technical details, trade‑offs, and analytical findings to audiences ranging from engineers to senior business leaders, using clear narratives and data‑driven recommendations.
• Advanced degree (or proven experience) in Computer Science, Data Science, Mathematics, or any quantitative science which makes use of advanced data analytics or statistical or machine learning techniques

About Rhino Federated Computing

Rhino Federated Computing Rhino solves one of the biggest challenges in AI: seamlessly connecting siloed data, apps, and models through federated computing. Our platform enables our customers to share business insight and processing without compromising intellectual property, data privacy, or data security. Our Rhino Federated Computing Platform offers flexible architecture across multi-cloud and on-prem hardware, end-to-end data management controls and workflows, and privacy enhancing technologies. Rhino is trusted by over 60 leading consortia and enterprises worldwide, including 14 of 20 of Newsweek’s ‘Best Smart Hospitals’ and top 20 global biopharma companies.

The company is headquartered in Boston, with an R&D center in Tel Aviv.

About the Role

As the Team Lead for the Forward Deployed AI Engineering Team, you will serve as a hands-on Player/Coach, leading a customer-facing AI engineering and scientist group responsible for deploying and scaling Rhino’s Federated Computing Platform (FCP) in complex, real-world environments. You will maintain a direct, hands-on contribution by working with customers’ technical and research teams to design, implement, and optimize federated AI models and systems. Critically, you will also coach, mentor, and manage a team of applied AI engineers, guiding them through federated model training, inference, deployment, and monitoring, while helping customers unlock the full potential of federated data collaboration. Your leadership will shape how federated AI is operationalized at scale. 

Key Responsibilities

Technical Leadership & Delivery

• Lead the design and delivery of federated AI solutions across imaging, text, and structured data domains.
• Design and implement federated training and inference pipelines, integrating data preprocessing, model orchestration, and AIOps tooling.
• Own project execution from scoping to deployment — ensuring clarity, speed, and technical excellence.

Customer Engagement & Enablement

• Partner directly with customers to understand workflows, map data ecosystems, and design scalable AI solutions.
• Serve as a trusted technical advisor on privacy-preserving ML, model optimization, and deployment best practices.
  Build long-term relationships that drive adoption and measurable outcomes for customer programs.

Team Leadership 

• Manage multiple concurrent engagements, balancing strategic leadership with hands-on problem-solving.
• Provide mentorship to Forward Deployed Engineers and Scientists, fostering a high-performance, learning-driven culture.

Product Feedback & Innovation

• Identify reusable solution patterns and contribute to the standardization of federated AI workflows.
• Surface customer insights and field feedback that shape Rhino’s roadmap.
• Collaborate with product and research teams to prototype and validate new federated learning research and frameworks.

Required Skills

• Experience: 5+ years in applied AI, machine learning engineering, or MLOps roles; experience deploying models in production environments.
• Technical Expertise: Deep hands-on experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and AI/MLOps ecosystems.
• Generative AI Tools: Familiarity with LLM frameworks (GPT, Gemini, Claude, LangChain, agentic frameworks, etc.).
• Programming & Systems: Strong proficiency in Python, REST APIs, and data systems (SQL/NoSQL); comfort with cloud computing and GPU-based systems.
• Delivery Focus: Proven ability to own technical outcomes end-to-end, from scoping and prototyping to full-scale delivery.
• Collaboration: Excellent communication skills and the ability to operate across customer, product, and engineering teams.
• Mindset: Action-oriented, adaptable, and able to prioritize effectively in fast-changing environments.

Preferred Skills

• Industry experience in healthcare, biopharma, financial services, and public sector.
• Ph.D. or M.S. in a quantitative field (Computer Science, Engineering, Biomedical Informatics, Bioinformatics, Chemistry, or related).
• Prior experience deploying federated learning, privacy-preserving AI, or secure distributed computing systems.

Location 

Boston preferred, but open to other locations for highly qualified candidates.

Visa Sponsorship

We will sponsor visas for USA PhD candidates in the relevant areas - Mathematics, Artificial Intelligence, Federated Learning, Computational Chemistry/Biology/Biomedical candidates. An B.S./M.S. with extensive, directly relevant industry experience will also be considered.

September 24, 2025

Position:   
Senior Computational Biologist/ ML Scientist 

Company Overview:   
At Kernal Bio, we engineer human cells inside the body using selective mRNA-LNP technology to treat cancer and autoimmune diseases. Our AI-designed mRNAs, delivered via antibody-decorated lipid nanoparticles (LNPs), ensure precise targeting and minimize off-target effects. Our KR-402 program focuses on hematological malignancies and autoimmune disorders, achieving >90% in vivo delivery efficiency with T-cell-targeted LNPs. The KR-335 program, targeting solid tumors resistant to standard immunotherapies, shows a 100x therapeutic index with strong efficacy and tolerability in preclinical models, including mice and non-human primates.

With roots at MIT, Harvard, Merck, and BMS, our management team has spearheaded the development of three FDA-approved therapies and holds over 120 patents. Based in Cambridge, MA, and backed by Hummingbird Ventures, Amgen Ventures, NVIDIA, and NASA, Kernal Bio is revolutionizing mRNA therapeutics by leveraging AI to deliver precision treatments within the body. 

Job Summary 

Senior Computational Biologist/ ML Scientist 
We are seeking a Senior Computational Biologist to join our dynamic R&D team and spearhead our drug discovery efforts. This is a chance to move beyond routine data analysis and creatively apply advanced computational methods to solve complex biological challenges. You will be a key driver in designing next generation mRNA therapeutics, directly impacting our pipeline and scientific strategy.

The Role
As a core member of our research group, you will leverage your expertise to extract meaningful insights from diverse datasets. Your primary focus will be on applying sophisticated data science and machine learning techniques to biological questions. You’ll collaborate closely with diverse cross-functional teams, including our wet lab scientists, synthetic biology, and formulation teams, acting as a bridge between data and discovery.

Key responsibilities include:

Data Analysis & Modeling: Design and execute rigorous statistical and computational analyses by integrating and analyzing diverse omics datasets, including genomics, transcriptomics, proteomics, and single-cell sequencing data. You will also be responsible for developing, training, and deploying novel AI/machine learning models to predict biological outcomes and accelerate drug discovery.

High-Performance Computing: Efficiently manage and scale computational workloads by leveraging cloud computing platforms and utilizing NVIDIA GPU-accelerated computing for data processing and model training.

Scientific Communication: Prepare scientific manuscripts, contribute to intellectual property filings, and present your findings at leading scientific conferences and internal meetings.

Documentation & Workflow: Meticulously document all computational workflows, experimental results, and analyses in an Electronic Lab Notebook (ELN) such as Benchling and maintain rigorous version control and facilitate collaborative code development using platforms like GitHub.

Mentorship: Guide and mentor junior team members, sharing your knowledge of best practices in computational analysis and scientific inquiry.

Who We’re Looking For
We are looking for a creative and detail-oriented scientist with a proven track record. You should have a Ph.D. in Computational Biology, Bioinformatics, or a related field, along with a minimum of 3 years of experience in the biopharmaceutical industry.

You are a master of your craft with:

Deep Expertise: A strong background in the analysis of high-throughput biological data, including genomics, transcriptomics, proteomics, and single-cell sequencing.

Modern Skill Set: Experience applying machine learning and AI, with a solid theoretical grasp of algorithms like gradient descent, Bayesian optimization, and other heuristic search methods. Proficiency with large language models (LLMs) is a significant plus.

Accelerated Computing: Hands-on experience with NVIDIA GPU-accelerated computing is highly valued. Familiarity with CUDA, cuDNN, or NVIDIA Clara for bioinformatics applications will set you apart.

Programming Prowess: Exceptional fluency in Python and experience with workflow management systems, with a strong emphasis on version control using Git/GitHub.

Cloud Computing: Hands-on experience with at least one major cloud platform (AWS, Azure, or Google Cloud).

Intellectual Curiosity: A creative, out-of-the-box thinker who is eager to learn new methods and tackle complex problems head-on.

Collaborative Spirit: Excellent communication and time-management skills, with the ability to manage multiple projects and work effectively within cross-functional teams.

Benefits:

• Competitive 401(k)   
• Highly competitive healthcare coverage (PPO/HMO)
• Free parking, a monthly subway pass, or a subsidized commuter rail pass  
• Free Bluebike Membership
• Gym Membership Support   
• Flexible Spending Account 
• Paid parental leave, family caregiver leave, and medical leave  
• Paid life insurance coverage 
• On-site cafeteria  
• Competitive vacation and sick days per year 

Kernal provides a diverse work environment and is committed to equal employment opportunities for all its employees and qualified applicants. We do not discriminate in employment practices for the race, color, national origin, age, gender, sexual orientation, marital or veteran status, religion, disability, or any other legally protected status. Kernal Bio will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law.

Summary

QuEra is seeking a talented AI scientist to explore the intersection of quantum computing and AI. This includes topics in "quantum for AI", such as development of quantum machine learning algorithms for generative tasks, integration of quantum computers into AI workflows, and augmentation of classical training with quantum methods. This may also include topics in "AI for quantum", such as AI compilation techniques for hardware execution, machine characterization and inference, decoding, and related topics. A strong candidate is expected to have deep hands-on experience with contemporary classical AI workflows, such as the large language models (LLMs), a strong understanding of the underlying theory of modern AI, and an understanding of quantum computing and quantum information theory.

As part of your role, you will spearhead efforts at QuEra to develop the next generation of quantum and AI algorithms guided by your experience with classical AI approaches. The role will include both cutting-edge research, as well as development and deployment of algorithms on the next generation of neutral-atom hardware. QuEra Computing is the leader in neutral-atom quantum computing, and is a front runner in the race towards utility-scale quantum computing. In this role, you will be at the forefront of integrating quantum algorithms with practical AI-driven toolchains, driving innovation across simulation, optimization, and quantum machine learning domains.

Qualifications

• PhD in math, computer science, quantum physics, or equivalent professional experience
• Strong hands-on expertise with modern AI/ML methods, such as deep learning and reinforcement learning, including practical usage of AI models such as LLMs in production or research environments.
• Understanding of quantum information theory and quantum computing fundamentals
• Experience deploying AI training and inference on HPC environments
• An excellent track record of publications in AI and/or quantum computing

Preferred Qualifications

• Strong experience in state-of-the-art quantum machine learning methods, such as quantum generative models and quantum reinforcement learning
• Experience in scientific software development, including prior open-source contributions

The approximate base salary range for this position is $145,600 - $227,500.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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Job Title:         Quantum Scientist, Quantum Computing Services Job Type:                 Full-time

Job Location:      Boston, MA

Reports to:       VP of Quantum Computing Services

Summary:

QuEra is seeking a Quantum Scientist to join the Quantum Computing Services team at the QuEra headquarters in Boston. The team’s mission is to develop QuEra’s machines into cutting-edge quantum computing products and services; your role on the team will focus on the experimental aspects of calibration, compilation, and benchmarking.

In this role, you will be working with physicists and engineers over multiple locations where QuEra machines are installed, and across various functions at QuEra covering R&D, software engineering, and application development.

You will also interface with customers and collaborators to enable leading-edge scientific and demonstration projects on QuEra’s machines. Your initial focus will be on QuEra’s Gemini-class gate-based quantum computing systems deployed in Japan, the UK, and Boston.

You will be expected to lead or co-lead the following activities:

• Development of calibration and compilation approaches and pipelines towards arbitrary programmability of the machines by
• Collaborating with customers and application developers on pilot projects to showcase and benchmark QuEra’s

machines.

You will be expected to support the following activities:

• Bring-up of the first Gemini machine in AIST, Tsukuba, Japan (requiring some travel to Japan).
• Integration and testing of the quantum computing service
• Product launches related to QuEra’s quantum computing services for cloud and on-
• System performance
• System operations, including incident

Qualifications:

• A Ph.D. in experimental AMO physics or related field, with hands-on experience in building or operating a neutral atom or a trapped ion system, or another quantum hardware platform or Practical experience with actual gate-based quantum computers is a major asset.
• Success in research, as evidenced by peer-reviewed publications and/or scientific talks and other
• Strong communication skills and strong interest in working with a variety of customers and end users to understand their needs and translate them into product.
• Software skills, including programming languages and a basic understanding of software
• Experience in mentoring or training scientists or
• Ability to provide on-call support for machine and service
• Ability to periodically travel to machine locations.

Salary Range: 145,000 - 175,000. We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Anthropic is at the forefront of AI research, dedicated to developing safe, ethical, and powerful artificial intelligence. Our mission is to ensure that transformative AI systems are aligned with human interests. We are seeking a Research Engineer to join our Pre-training team, responsible for developing the next generation of large language models. In this role, you will work at the intersection of cutting-edge research and practical engineering, contributing to the development of safe, steerable, and trustworthy AI systems.

Key Responsibilities:

• Conduct research and implement solutions in areas such as model architecture, algorithms, data processing, and optimizer development
• Independently lead small research projects while collaborating with team members on larger initiatives
• Design, run, and analyze scientific experiments to advance our understanding of large language models
• Optimize and scale our training infrastructure to improve efficiency and reliability
• Develop and improve dev tooling to enhance team productivity
• Contribute to the entire stack, from low-level optimizations to high-level model design

Qualifications:

• Advanced degree (MS or PhD) in Computer Science, Machine Learning, or a related field
• Strong software engineering skills with a proven track record of building complex systems
• Expertise in Python and experience with deep learning frameworks (PyTorch preferred)
• Familiarity with large-scale machine learning, particularly in the context of language models
• Ability to balance research goals with practical engineering constraints
• Strong problem-solving skills and a results-oriented mindset
• Excellent communication skills and ability to work in a collaborative environment
• Care about the societal impacts of your work

Preferred Experience:

• Work on high-performance, large-scale ML systems
• Familiarity with GPUs, Kubernetes, and OS internals
• Experience with language modeling using transformer architectures
• Knowledge of reinforcement learning techniques
• Background in large-scale ETL processes

You'll thrive in this role if you:

• Have significant software engineering experience
• Are results-oriented with a bias towards flexibility and impact
• Willingly take on tasks outside your job description to support the team
• Enjoy pair programming and collaborative work
• Are eager to learn more about machine learning research
• Are enthusiastic to work at an organization that functions as a single, cohesive team pursuing large-scale AI research projects
• Are working to align state of the art models with human values and preferences, understand and interpret deep neural networks, or develop new models to support these areas of research
• View research and engineering as two sides of the same coin, and seek to understand all aspects of our research program as well as possible, to maximize the impact of your insights
• Have ambitious goals for AI safety and general progress in the next few years, and you’re working to create the best outcomes over the long-term.

Sample Projects:

• Optimizing the throughput of novel attention mechanisms
• Comparing compute efficiency of different Transformer variants
• Preparing large-scale datasets for efficient model consumption
• Scaling distributed training jobs to thousands of GPUs
• Designing fault tolerance strategies for our training infrastructure
• Creating interactive visualizations of model internals, such as attention patterns

At Anthropic, we are committed to fostering a diverse and inclusive workplace. We strongly encourage applications from candidates of all backgrounds, including those from underrepresented groups in tech.

If you're excited about pushing the boundaries of AI while prioritizing safety and ethics, we want to hear from you!

Summary

QuEra is seeking a deeply technical and theoretically grounded algorithms researcher to help advance the frontier of quantum computing. This role focuses on developing novel algorithms and quantum computational techniques inspired by and tailored to the capabilities of neutral-atom quantum devices.

A strong candidate will bring deep expertise in quantum algorithm design and quantum information theory. As part of your role, you will lead research efforts that explore the boundaries of quantum advantage, investigate computational hardness and resource tradeoffs, and prototype algorithms that could run on QuEra's hardware. You will also collaborate closely with hardware and software teams to guide the co-design of algorithms and architectures, and shape the roadmap for algorithmic utility on neutral-atom systems.

Key Responsibilities

• Conduct original research in quantum algorithms, quantum algorithm complexity, and quantum information theory.
• Design and analyze new quantum algorithms with demonstrable computational advantage.
• Explore and classify algorithmic primitives aligned with neutral-atom capabilities.
• Collaborate with the applications team to optimize performance under realistic architectural constraints.
• Evaluate the landscape of quantum algorithm benchmarks and influence the development path for practical quantum utility on QuEra’s platform.

Qualifications

• PhD in Computer Science, Physics, Mathematics, or a related discipline with specialization in quantum computing.
• Strong research record in quantum algorithms or quantum information theory, as evidenced by top-tier publications or equivalent contributions.
• Familiarity with core quantum algorithmic techniques (e.g., amplitude amplification, phase estimation, Hamiltonian simulation, and quantum arithmetic primitives).
• Deep understanding of quantum computational models and algorithmic complexity.
• Strong communication skills.

Preferred Qualifications

• Postdoctoral or industrial experience in quantum computing, especially in algorithm design.
• Experience in using software packages for fault-tolerant quantum algorithms research and quantum resource estimation (e.g. Qualtran).
• Strong software engineering skills.

The approximate base salary range for this position is $145,600 - $227,500.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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Summary

QuEra Computing is seeking a talented and innovative theorist with a strong background in theoretical atomic, molecular, and optical (AMO) physics and quantum information science to support the modeling and architecture development of our digital neutral-atom quantum computers. In this role, you will develop detailed physics-based models of key sub-components that constitute a neutral atom quantum computer, to characterize and enhance their performance. You will work closely with experimental teams to validate and refine models, define technical requirements and operating regimes, and guide experimental progress. You will also collaborate with compiler, applications, and QEC teams to ensure that low-level control abstractions and interfaces are aligned with algorithmic and architectural requirements. You will be expected to independently drive modeling efforts and translate theoretical insights into concrete guidance for experiments and architecture decisions.

Qualifications

• PhD in theoretical atomic, molecular, and optical (AMO) physics or a closely related field.
• Experience modeling AMO experiments, including realistic multi-level atomic structure calculations, light-matter interactions, and Rydberg physics.
• Demonstrated ability to collaborate productively with experimental AMO or quantum hardware groups.
• Strong publication record in AMO physics or other relevant areas of quantum science.
• Basic knowledge of quantum error correction methods and quantum algorithms.
• Proficiency in Python and/or Julia for scientific modeling and simulation.

Preferred Qualifications

• Experience modeling noise sources, imperfections, and decoherence in neutral-atom platforms.
• Hands-on experience with open quantum systems simulations.
• Experience with pulse-level control, Hamiltonian engineering, and quantum control/optimization.
• Familiarity with benchmarking and characterization of quantum hardware primitives.
• Experience translating physical noise models into logical-level performance metrics.

The approximate base salary range for this position is $130,400 - $211,900.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

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Summary

QuEra Computing is seeking talented, impact-motivated researchers with strong expertise in quantum error correction and decoding. You will be part of the team to develop and implement quantum error correction protocols and decoding algorithms on our unique hardware. You will have the opportunity to work with a vibrant community of academic and industry collaborators, and to help our growing team of diverse experts address fascinating challenges, from the development of hardware-efficient error correction schemes and decoding algorithms for our unique Rydberg atom quantum computer, to the design of protocols for executing fault-tolerant quantum logic, and finally to the implementation of fault-tolerant quantum algorithms with these methods.

Qualifications

• PhD in Quantum Computing, Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience
• Strong background in quantum computing and quantum error correction
• An exceptional publication record in relevant fields
• Strong written and verbal communication skills
• Strong software skills

Preferred Qualifications

• Experience implementing high-performance decoders, including both software and hardware implementations
• Experience simulating error correction protocols
• Experience collaborating with experimental teams and/or implementing error correction protocols on hardware
• Experience with high-performance software development and real-time operations
• Experience with machine learning methods

The approximate base salary range for this position is $130,400 - $211,900.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

Required Qualifications

• PhD in Physics, Computer Science, Mathematics, Electrical Engineering, or equivalent experience
• Experience in machine learning for scientific problems
• Experience in quantum computing and quantum error correction
• An exceptional publication record in relevant fields
• Strong written and verbal communication skills
• Strong software skills

• Experience simulating error correction protocols
• Experience collaborating with experimental teams and/or implementing error correction protocols on hardware
• Experience with high-performance software development and real-time operations

The approximate base salary range for this position is $130,400 - $211,900.

We consistently monitor external market data and update base salary ranges accordingly. We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience. In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

Summary

QuEra Computing is seeking a mission-driven Quantum Scientist focused on designing and delivering specialized content for community engagement, customer training, and AI-enabled learning experiences. You’ll use your expertise in quantum information, machine learning, and modern AI systems to create learning pathways that bridge users to the latest outcomes in quantum computing research – particularly that by QuEra’s team – via our Bloqade software suite and our current and upcoming neutral-atom hardware.

In addition to building world-class educational content, you will help integrate AI agents, ML-driven analytics, and scalable infrastructure into our enablement ecosystem—enhancing user onboarding, experimentation workflows, and community engagement.

Deliverables include lessons, tutorials, notebooks, AI-assisted labs, hackathon challenges, interactive agents, and technical presentations tailored to users across academia, national labs, and industry.

Some travel may be required for workshops, conferences, and hackathons.

Responsibilities

• Design, author, and maintain structured, hands-on learning materials (courses, tutorials, notebooks, problem sets, quizzes, and challenge tracks) aligned with  neutral-atom quantum computing capabilities.
• Develop AI-enhanced learning tools, including intelligent tutoring workflows, agent-assisted coding labs, and automated feedback systems.
• Build and deploy lightweight ML or AI agent systems that support user onboarding, documentation navigation, experiment configuration, or workflow optimization.
• Produce clear, accurate technical presentations and demos for customers, partners, conferences, and hackathons; deliver live and online instruction.
• Closely collaborate with the applications research, product and solutions teams to ensure content reflects the latest algorithms, applications, APIs, and hardware constraints.
• Translate new R&D into learner pathways; define objectives and assessments; use learner data, ML-driven insights, and feedback to iterate and improve.
• Contribute to scalable infrastructure for educational environments (cloud-based notebooks, APIs, model endpoints, experiment orchestration systems).
• Drive customer/partner enablement and community programs (hackathons, forums, workshops) and expand documentation to lower adoption barriers.
• Explore and prototype AI agents that assist users in quantum program synthesis, parameter optimization, debugging, or workflow automation.

Qualifications

• Advanced experience in Physics, Computer Science, Electrical Engineering, Machine Learning, or a related field (PhD preferred; MSc/BSc with equivalent experience considered).
• Strong foundation in quantum information/science, spanning algorithmic building blocks, software tooling, data analysis, and hardware limitations.
• Experience using machine learning systems, AI agents, LLM-based tooling, or intelligent automation frameworks.
• Familiarity with modern ML/AI infrastructure (e.g., model APIs, vector databases, agent orchestration frameworks, cloud deployment, experiment tracking).
• Experience creating technical education materials or teaching (tutorials, workshops, developer content), with demonstrated interest in research-informed pedagogy.
• Excellent written and verbal communication skills; ability to explain complex topics to diverse technical audiences.
• Collaborative mindset and the discipline to independently deliver high-quality technical and educational artifacts.

Preferred Qualifications

• Experience with Bloqade or other QIS tooling for scientific computing.
• Familiarity with neutral-atom quantum computing platforms.
• Experience applying ML techniques and agents to scientific and quantum computing, particularly in the context of education.
• Experience building or deploying AI agents (e.g., retrieval-augmented systems, code assistants, orchestration frameworks).
• Experience with MLOps, infrastructure-as-code, containerization, or cloud-based notebook environments.
• Track record presenting at conferences, running hackathons, or building developer communities.
• Comfort using data analytics and ML methods to evaluate learning outcomes and improve curricula.

The approximate base salary range for this position is $130,400 - $211,900.

We consistently monitor external market data and update base salary ranges accordingly.  We determine base compensation decisions on several factors, including as geographic placement, role-specific knowledge, skills, and/or experience.  In addition to our base salary offerings, we also provide equity grants for all new hires.

QuEra is committed to cultivating a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees and do not discriminate (including in our hiring and promotion practices) based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other characteristic protected by law.

#LI-NB1

Lightmatter builds chips that enable extreme-scale artificial intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter!

We are hiring a Sr. Mixed-Signal Digital Architect. The selected candidate will partner with external facing teams at Lightmatter and the internal engineering team to deliver groundbreaking products to the market. As an architect, you will provide detailed technical documents that describe what needs to be built to the engineering team. This will require a solid understanding of process technology, state of the art in chip design, and clear communication skills. In this role, you will be defining the architecture of the digital circuits that enable a ground-breaking photonic-based communication fabric. Your work will not only enable the AMS/photonic devices at low-level but also enable the necessary interfaces with the firmware/software. You will interact directly with our vendors and our customers. You will also define the product and technological roadmaps along with suitable design and verification methodologies.

You will report directly to the Chief Scientist, but you will also work closely with our digital, analog, photonic, and software teams. We are particularly looking for someone with expertise in architecting digital circuits to enable high-speed AMS circuits, with a strong preference for someone with experience in photonic circuits.

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.

Responsibilities

• Be the digital architecture owner of Lightmatter’s Passage product. Work closely with the rest of the architecture team, chip-design team, and the software team.
• Responsible for the digital architecture from initial concept through high-volume production. Work closely with the technical program manager(s) to plan, organize, and execute.
• Architect and specify system level digital designs integrating complex AMS and photonic circuits. These circuits include stabilization circuits of AMS & photonic devices; line-rate DSP, FEC, CRC; and tuning & adaptation of analog front-end components.   
• Work closely with test and validation engineers to validate hardware against simulation prediction.
• Actively collaborate with the RTL and DV teams to enable block-level implementation and verification, respectively.
• Actively enable the firmware team to develop the recipe for hardware bringup and validation.
• Author, review, and validate architectural specifications. With the product and applications engineering teams, they also produce customer-facing product datasheets and reference designs.
• Identify possible improvements as well as possible pitfalls (including mitigation strategies) around executing the proposed architectures. 

Qualifications 

• 12+ years and a Masters’ degree in Electrical or Computer Engineering
• In-depth knowledge of power-efficient digital design flow for high-speed AMS electronics, preferably on photonic communication channels.
• In-depth knowledge of digital circuit design in a high-speed analog/photonic link, including device bring-up, control, and digital signal processing.
• Demonstrated strong problem solving skills specifically pertaining to problems that do not have obvious solutions.
• Demonstrated strong customer communication, with timely responses and consistently positive feedback

Preferred Qualifications

• Understanding of SerDes PCS layer and equalization along with forward error-correction schemes.
• Ability and desire to collaborate in a cross-disciplinary team: from hardware to software.

Lightmatter builds chips that enable extreme-scale artificial intelligence computing clusters. If you're a collaborative engineer or scientist who has a passion for innovation, solving challenging technical problems, and doing impactful work like building the world's first optical computers, consider joining the team at Lightmatter!

We are hiring a Sr. Mixed-Signal Digital Architect. The selected candidate will partner with external facing teams at Lightmatter and the internal engineering team to deliver groundbreaking products to the market. As an architect, you will provide detailed technical documents that describe what needs to be built to the engineering team. This will require a solid understanding of process technology, state of the art in chip design, and clear communication skills. In this role, you will be defining the architecture of the digital circuits that enable a ground-breaking photonic-based communication fabric. Your work will not only enable the AMS/photonic devices at low-level but also enable the necessary interfaces with the firmware/software. You will interact directly with our vendors and our customers. You will also define the product and technological roadmaps along with suitable design and verification methodologies.

You will report directly to the Chief Scientist, but you will also work closely with our digital, analog, photonic, and software teams. We are particularly looking for someone with expertise in architecting digital circuits to enable high-speed AMS circuits, with a strong preference for someone with experience in photonic circuits.

Join a tight-knit team where each individual’s contributions directly influence the success of the company and product. You'll have the opportunity to build a new kind of computer from the ground up and to solve groundbreaking challenges along the way. Work with people who love to build and who thrive in technically diverse environments where great ideas are prioritized.

Responsibilities

• Be the digital architecture owner of Lightmatter’s Passage product. Work closely with the rest of the architecture team, chip-design team, and the software team.
• Responsible for the digital architecture from initial concept through high-volume production. Work closely with the technical program manager(s) to plan, organize, and execute.
• Architect and specify system level digital designs integrating complex AMS and photonic circuits. These circuits include stabilization circuits of AMS & photonic devices; line-rate DSP, FEC, CRC; and tuning & adaptation of analog front-end components.   
• Work closely with test and validation engineers to validate hardware against simulation prediction.
• Author, review, and validate architectural specifications. With the product and applications engineering teams, they also produce customer-facing product datasheets and reference designs.
• Identify possible improvements as well as possible pitfalls (including mitigation strategies) around executing the proposed architectures. 

Qualifications 

• 12+ years and a Masters’ degree in Electrical or Computer Engineering
• In-depth knowledge of power-efficient digital design flow for high-speed AMS electronics, preferably on photonic communication channels.
• In-depth knowledge of digital circuit design in a high-speed analog/photonic link, including device bring-up, control, and digital signal processing.
• Demonstrated strong problem solving skills specifically pertaining to problems that do not have obvious solutions.
• Demonstrated strong communication and collaboration internally and externally, with timely responses and consistently positive feedback.

Preferred Qualifications

• Understanding of SerDes PCS layer and equalization along with forward error-correction schemes.
• Ability and desire to collaborate in a cross-disciplinary team: from hardware to software.

About the role: 

Superluminal Medicines, Inc. is seeking an experienced drug discovery scientist who has made the career transition to program management to join our team as Associate Director of Program Management. Superluminal’s platform aims to develop candidate-ready compounds with unprecedented speed using a combination of deep biology, computational and medicinal chemistry, machine learning, and proprietary big data infrastructure. This role will work closely with project teams to manage workflows and track the status of projects within our discovery and early development pipeline. This role is highly integrated across the company and will have a critical role in delivering on the program strategy, making sure projects are executed efficiently and effectively. The ideal candidate is highly motivated, thrives in a startup environment, and brings deep scientific, drug discovery, and program management experience.

Key responsibilities: 

• Execute a program management process that aligns with the organization's goals and objectives for drug discovery and early development projects
• Work with team members to develop and maintain integrated project plans to support the advancement of projects through the project workflow
• Leverage Smartsheets to track deliverables and timelines and summarize the status of all projects
• Collaborate and communicate cross-functionally to measure and achieve program goals
• Attend project team meetings, capturing meeting notes, key takeaways, and action items
• Drive project risk management via scenario planning and proactive identification of key risks; facilitate risk mitigation and contingency planning
• Work closely with the management team to align on how decisions are made and ensure approval is obtained throughout the project lifecycle
• Build and leverage relationships and networks to improve and enhance team dynamics, proactively identifying opportunities and removing obstacles
• Collaborate with Project Team Leads to develop internal and external presentations to gain support for projects and future investments
• Work closely with Operations to translate the project objectives into a budget and resource plan for various stages of the project lifecycle
• Maintain strong communication channels to keep stakeholders informed about program progress and issues
• Identify, communicate, and manage resource constraints, synergies, and redundancies
• Provide guidance, mentoring, and coaching on project management tools and process to colleagues
• Organize and lead project team meetings to gain an understanding of project trajectory
• Identify inefficiencies in our operational processes and implement solutions to address them

Qualifications & Skills:                                                                                                                                                                                                                                                                

• Advanced degree in a scientific discipline
• 7+ years of industry experience with 4+ years of scientific drug discovery experience and 1+ years program management experience
• Drug discovery and early development knowledge across multiple disciplines; familiarity with in silico modeling, machine learning, or computational chemistry programs is highly desirable
• Experience working in cross-functional project teams; experience leading project teams a plus
• Experience with alliance management a plus
• Experience with Smartsheets, Jira, or other program management software
• Exceptional organizational skills and an ability to manage multiple priorities
• Excellent written and oral communication skills, including well-developed presentation skills
• Highly adaptable in the face of change as we follow the science
• Good understanding of business and scientific processes to assess the impact of project decisions on scientific, financial, and corporate objectives
• Ability to work onsite at least part-time

About the Role: Ginkgo Bioworks is constructing the world’s first "Total Autonomous Lab"—a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst, our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution.

Responsibilities:

• Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms.
• Build the AI Scientist: Assist in the development of Catalyst Agent, our LLM-based interface that allows scientists to launch experiments using natural language.
• Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training.
• Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools.

Preferred Qualifications:

• No college degree necessary but some skills in coding or related areas required.
• Strong proficiency in Python; experience with hardware control or APIs is a plus.
• Enthusiasm for "Lab-in-the-Loop" technologies where AI models drive physical experimentation.
• Interest in biological data standards and laboratory automation.

About the Role: Ginkgo Bioworks is constructing the world’s first "Total Autonomous Lab"—a facility where scientific work is requested by code and executed by robots, 24/7. We are looking for a Software Intern to help build the digital brain of this lab. You will work with Catalyst, our proprietary software stack that orchestrates fleets of Reconfigurable Automation Cells (RACs). This role is ideal for software engineers who want to apply their skills to physical systems or computational biologists who want to move beyond analysis into autonomous execution.

Responsibilities:

• Enable "Protocols as Code": Develop and refine Python-based protocols using the Catalyst Client to control liquid handlers, plate readers, and robotic arms.
• Build the AI Scientist: Assist in the development of Catalyst Agent, our LLM-based interface that allows scientists to launch experiments using natural language.
• Integrate Lab Data: Work on data pipelines that automatically harvest, structure, and upload experimental data from RACs into our data lake for AI model training.
• Develop Device Drivers: Help integrate new hardware instruments into the Catalyst ecosystem, writing the drivers that allow our software to "talk" to new lab tools.

Preferred Qualifications:

• Recent graduate (BS/MS) or current student in Computer Science, Bioengineering, or a related STEM field.
• Strong proficiency in Python; experience with hardware control or APIs is a plus.
• Enthusiasm for "Lab-in-the-Loop" technologies where AI models drive physical experimentation.
• Interest in biological data standards and laboratory automation.

The role is based out of Ginkgo’s Boston, MA location and requires regular in-person attendance.

About the Role: Ginkgo Bioworks is deploying a massive fleet of Reconfigurable Automation Cells (RACs)—modular, mobile robotic units that snap together like LEGOs to form an autonomous lab. We are looking for an Automation Scientist Intern to be the hands-on force behind this fleet. You will learn how to load, operate, take down, and troubleshoot protocol runs on the most advanced lab automation hardware in the world, pushing our "Nebula" frontier lab towards autonomous operation.

Responsibilities:

• Master the RAC Platform: Learn to operate and maintain a system of Reconfigurable Automation Cells, designed to support a variety of molecular and cell biology scientific workflows. You will queue and submit programmatically-generated protocols, remote monitor for errors and conduct remote and on-site error recovery, with the support of our Apex Support team. Over time, you will advance to modifying or writing new protocols for our RAC Automation system.
• Learn Biology: You will prepare and onboard reagents and consumables for upcoming molecular and cell biology scientific workflows, execute and monitor such workflows, and take down and offboard used plates from completed workflows.  In the process, you will learn how to carefully handle and prepare reagents and consumables for workflows, do basic monitoring and error recovery of runs and safely dispose of used plates from completed workflows.

Preferred Qualifications:

• No college degree necessary but some skills in coding, biology or computational biology required. 
• "Automation-forward" mindset: you love working with lab automation and making robotic systems run smoother.
• Willingness to do whatever it takes to ensure that existing and new scientific workflows run successfully on our RAC automation system.

Bonus (not required):

• Interest in communications, marketing, social media, and/or short form video

About the Role: Ginkgo Bioworks is deploying a massive fleet of Reconfigurable Automation Cells (RACs)—modular, mobile robotic units that snap together like LEGOs to form an autonomous lab. We are looking for an Automation Scientist Intern to be the hands-on force behind this fleet. You will learn how to load, operate, take down, and troubleshoot protocol runs on the most advanced lab automation hardware in the world, pushing our "Nebula" frontier lab towards autonomous operation.

Responsibilities:

• Master the RAC Platform: Learn to operate and maintain a system of Reconfigurable Automation Cells, designed to support a variety of molecular and cell biology scientific workflows. You will queue and submit programmatically-generated protocols, remote monitor for errors and conduct remote and on-site error recovery, with the support of our Apex Support team. Over time, you will advance to modifying or writing new protocols for our RAC Automation system.
• Learn Biology: You will prepare and onboard reagents and consumables for upcoming molecular and cell biology scientific workflows, execute and monitor such workflows, and take down and offboard used plates from completed workflows.  In the process, you will learn how to carefully handle and prepare reagents and consumables for workflows, do basic monitoring and error recovery of runs and safely dispose of used plates from completed workflows.

Preferred Qualifications:

• No college degree necessary but some skills in coding, biology or computational biology required. 
• "Automation-forward" mindset: you love working with lab automation and making robotic systems run smoother.
• Willingness to do whatever it takes to ensure that existing and new scientific workflows run successfully on our RAC automation system.

Bonus (not required):

• Interest in communications, marketing, social media, and/or short form video