Who We Are

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

Where You Fit 

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

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

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

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

What You’ll Do

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

What You Bring 

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

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

We Want To Hear From You

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

ABOUT THE ROLE

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

RESPONSIBILITIES

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

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

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

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

• Contribute ideas and present scientific findings at team meetings 

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

SKILLS & COMPETENCIES:

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

QUALIFICATIONS:

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

About the Position 

As Associate Director of RWD Intelligence at Formation Bio, you will lead the strategy and execution of our real-world data (RWD) capabilities, building the data foundations that power drug acquisition, clinical development, and portfolio decision-making. You will own the end-to-end lifecycle of RWD: sourcing, procurement, ingestion, harmonization, quality assurance, and delivery of analysis-ready datasets to downstream consumers across Product, Data Science, Clinical Development, and Business Development.

This role sits at the intersection of data engineering, data science, and drug development. You will build and maintain scalable data infrastructure (pipelines, data models, lakes/marts) while ensuring semantic interoperability across heterogeneous data sources through ontology-driven harmonization frameworks such as OMOP. You will also manage vendor relationships and data procurement, evaluating and integrating new data assets as the portfolio evolves. The ideal candidate combines deep RWD domain expertise with strong data fluency, enabling Formation Bio to treat real-world evidence as a first-class strategic asset.

Responsibilities

• Lead the RWD Intelligence function within Data Science, owning data strategy, sourcing, and delivery of analysis-ready datasets
• Architect and maintain the supporting infrastructure (pipelines, ingestion workflows, data models, lakes/marts) across EHR/EMR, claims, registries, and genomics-linked cohorts
• Drive adoption and extension of harmonization frameworks (e.g., OMOP CDM) across heterogeneous data sources, leveraging AI/ML tools for entity resolution, ontology mapping, data quality monitoring, and automated harmonization
• Manage RWD vendor relationships end-to-end: evaluate providers, negotiate data use agreements, broker new partnerships, and integrate acquired datasets into the platform
• Partner with Data Science, Clinical Development, Business Development, and Engineering teams to define RWD use cases (trial feasibility, synthetic control arms, epidemiology, label expansion) and productize ad hoc pipelines into scalable, production-grade systems
• Foster a culture of data quality rigor, documentation, and reproducibility across all RWD assets

About You 

Required Qualifications

• BSc or MSc in biomedical informatics, computational sciences, epidemiology, or a related quantitative field
• 5+ years of industry experience working directly with real-world data (EHR/EMR, claims, registries, linked biobank data) in pharma, biotech, health tech, or consulting, with at least 2+ years in people management
• Strong data engineering proficiency (pipelines, ingestion frameworks, data models, data lakes/marts) combined with deep working knowledge of biological and medical ontologies (ICD, SNOMED CT, MedDRA, RxNorm, ATC) and harmonization standards, particularly OMOP CDM
• Demonstrated experience with RWD procurement and vendor management: evaluating data providers, negotiating agreements, and integrating new data assets
• Proven ability to deliver RWD-derived insights across multiple drug development use cases (e.g., trial design, epidemiology, comparative effectiveness, label expansion), with familiarity across the development lifecycle from target selection through post-market
• Proficiency with modern AI/ML tools, including large language models, and their applications in data engineering and harmonization workflows
• Strong communication skills with the ability to translate complex data infrastructure concepts for clinical, scientific, and executive audiences

Preferred Qualifications

• PhD in biomedical informatics, epidemiology, computational biology, or a related field
• Experience with large-scale biobank and genomics-linked RWD platforms (UK Biobank, FinnGen, All of Us), with a track record of building RWD infrastructure that directly influenced drug acquisition, licensing, or portfolio decisions
• Familiarity with additional biomedical data modalities (scientific literature mining, -omics datasets, molecular data integration) and with data science/analytics methodologies applied to RWD (causal inference, trial simulation, propensity score methods)
• Background transitioning data infrastructure from research/ad hoc to production-grade systems in regulated environments
• Experience working at the intersection of data engineering, data science, and business strategy in pharma/biotech

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

Job Title:  Senior Product Marketing Manager
Employment Status: Full-time
Office Hours: Monday - Friday; hybrid schedule
Location: Boston, Massachusetts
Compensation: $145,000 - $175,000 + variable + equity options
*compensation may be negotiated based on experience level

The role

As a Senior Product Marketing Manager, you'll define and scale how the world understands Ketryx and ensure our story translates into sales wins and customer advocacy. You'll be a master communicator and writer who transforms complex technology into clear, compelling narratives. You'll be the strategic partner our sales team relies on to win deals and the voice that turns our customers into champions.

You'll be joining a company tackling one of the hardest challenges in technology: helping life sciences teams safely and compliantly build regulated products fast. Our platform sits at the intersection of AI, developer tooling, and regulatory infrastructure, serving customers whose products impact hundreds of millions of patients each year. That responsibility and complexity demand excellence, and your job is to demonstrate that Ketryx is the only platform that delivers.

This is a high-visibility, high-impact role where success means transforming complexity into clarity, enablement into revenue, and customers into advocates. You'll work directly with the CMO, Product leadership, Sales leadership, and Customer Success to ensure our narrative is clear, our sales team is equipped to win, and our customers become our best marketers.

About you

You're an exceptional communicator and writer first and foremost. You communicate with precision, clarity, and impact across every format and make complex ideas simple, memorable, and actionable. You think strategically and build frameworks that scale. You're analytical and structured, comfortable leading without authority and influencing senior stakeholders. Your assets are the ones sales teams actually use and customers actually read.

You're a sales enablement expert who knows how to equip teams to win. You've built training programs, battlecards, and playbooks that measurably improved sales performance. You're also skilled at customer marketing and love creating compelling customer stories, building reference programs, and activating advocates.

If you want to shape how the world understands a category-defining product, equip a sales team to win, and turn customers into champions through exceptional communication, we'd love to meet you.

Responsibilities

• Shape how Ketryx shows up in the market. Own messaging and positioning that transforms complex technology into clear, compelling narratives that differentiate and resonate.
• Build the sales enablement engine. Create battlecards, training programs, and playbooks that equip our sales team with the confidence and tools to win consistently.
• Drive customer marketing and advocacy. Develop compelling case studies, build reference programs, and activate customers as champions who amplify our story.
• Bring new products and features to life. Partner with Product, Sales, and Demand Gen to execute launches that create buzz, generate pipeline, and drive adoption.
• Keep us sharp on the market. Research customers, competitors, and industry trends to uncover insights that shape our messaging, product strategy, and positioning.
• Measure what matters. Track and report the impact of enablement, launches, and customer programs, connecting your work directly to revenue growth and market momentum.

Required Skills

• Exceptional writing and communication skills - ability to produce clear, compelling, and technically accurate content across formats (decks, web pages, case studies, training materials, battlecards, blogs).
• 7+ years of product marketing experience - ideally 5+ years in B2B SaaS, with demonstrated progression to senior or lead-level ownership.
• Sales enablement expertise - built and delivered enablement materials with clear, measurable impact on sales performance.
• Strong technical storytelling ability - translates complex, technical, or regulated concepts into simple, differentiated market narratives.
• Process-builder mindset - experience creating scalable product marketing frameworks, templates, and operating rhythms from scratch.
• Data-informed decision making - uses customer, market, and performance insights to refine messaging and go-to-market strategy.
• Execution ownership in high-velocity environments - consistent track record of driving projects end-to-end in startup or fast-growing companies.

Preferred Skills

• Strongly Preferred: STEM background or proven knowledge or experience in one of the following:
• Life Science SaaS
• Software/Product Lifecycle Management
• Software testing / Verification and Validation
• Artificial intelligence (AI/ML)
• Cybersecurity
• Medical device or software as a medical device (SaMD)
• Experience with sales enablement platforms (Highspot, Seismic, Gong, Chorus).
• Experience building customer advisory boards or reference programs at scale.
• Public speaking or webinar moderation experience.
• Experience working in an early stage, product-based start up.

Keywords: Technical product marketing, product marketing manager, healthcare technology, medical devices, AI/ML, FDA regulations, software validation, B2B SaaS marketing, solutions engineering, life sciences, medical device software, regulatory compliance, go-to-market strategy, healthcare software, biomedical engineering

Job Title: Product Marketing Manager
Employment Status: Full-time
Office Hours: Monday - Friday; hybrid schedule
Location: Boston, Massachusetts
Compensation: $110,000 - $120,000 + variable + equity options
*compensation dependent on related experience level

About Ketryx:

Ketryx is an AI software platform that enables healthcare life sciences companies to ship life-saving regulated products in weeks instead of years.

Exploding product complexity is burying companies in compliance paperwork and blocking innovation. Our AI software removes this friction, dissolving the historical tradeoff between innovation and compliance, and enables regulated industries to innovate at the pace of modern software.

Just two years since launch, Ketryx already touches the lives of 25M patients and powers 3 of the world’s top 5 MedTech companies and 25% of the Fortune 500 MedTech market. Backed by Lightspeed Ventures, our founders are the former Head of AI at Amgen and CTO of Wolfram Cloud.

Healthcare and life sciences is just the beginning for us. Automotive, aerospace, energy — if it’s regulated, it’s because society decided it matters. These products move humanity, shape our future, and are safety-critical. Come join us and help build the AI platform to power safe innovation.

About the Role:

As a Product Marketing Manager, you’ll define how the world understands Ketryx. You’ll shape our story, translating complex technology into clear and compelling narratives that drive the go-to-market strategy, campaigns, and product launches. 

You’ll be joining a company tackling one of the hardest challenges in technology: helping life sciences teams safely and compliantly build regulated products fast. Our platform sits at the intersection of AI, developer tooling, and regulatory infrastructure, serving customers whose products impact hundreds of millions of patients each year. That responsibility and complexity demand excellence, and your job is to demonstrate that Ketryx is the only platform that delivers.

This is a high-visibility, high-impact role where success means transforming complexity into understanding, and understanding into adoption. By joining the product marketing team, you’ll have the support of a team of subject matter experts and the runway to build repeatable playbooks that scale as we grow.

Responsibilities:

• Shape how Ketryx shows up in the market. Transform complex concepts into clear, compelling messaging and positioning.
• Bring new products and features to life. Partner closely with Product, Sales, and Demand Gen to plan and execute launches that create real buzz and generate pipeline.
• Create content that drives action and thought leadership. Build the decks, one-pagers, web pages, webinars, and case studies that bring our story to life, fuel sales conversations, and strengthen Ketryx’s leadership.
• Empower our go-to-market teams. Build and deliver training, playbooks, and enablement materials that give BDRs and AEs confidence, clarity, and the tools to win.
• Keep us sharp on the market. Research customers, competitors, and industry trends to uncover insights that shape our messaging, product strategy, and positioning.
• Measure what matters. Track and report the impact of launches, content, and enablement initiatives, connecting your work directly to revenue growth and market momentum.

Required Skills:

• 5+ years of experience in product marketing or product management with 3+ years in B2B SaaS environment
• Experience developing clear, audience-specific messaging and product narratives that translate complex, technical, or regulated concepts into simple, compelling stories.
• Experience designing and delivering effective sales enablement, including competitor battlecards, objection handling, sales presentations, and training.
• Proven track record using data and market insights to refine messaging and strategy
• Hands-on experience building a range of marketing assets, sales presentations, demo videos, 1-pagers, web pages, blogs, and webinar content.
• Consistent track record in defining/driving project execution in a start-up environment.

Preferred Skills:

• Strongly Preferred: STEM background or proven knowledge or experience in one of the following:
• Life Science SaaS
• Software/Product Lifecycle Management
• Software testing / Verification and Validation
• Artificial intelligence (AI/ML)
• Cybersecurity
• Medical device or software as a medical device (SaMD)
• Experience working in an early stage, product-based start up.

Keywords: Technical product marketing, product marketing manager, healthcare technology, medical devices, AI/ML, FDA regulations, software validation, B2B SaaS marketing, solutions engineering, life sciences, medical device software, regulatory compliance, go-to-market strategy, healthcare software, biomedical engineering

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 the Director of Data Science 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 
• 7+ 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: $235,000 - $307,000

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 Data Engineer to join the Scientific Data Intelligence (SDI) team at Formation Bio to help build and scale the data infrastructure that powers our drug development platform. In this role, your primary focus will be supporting the Data Science team — building the coherent, well-structured data models, feature engineering pipelines, and evidence layers that underpin their scientific work. You'll also be responsible for ingesting data from a wide variety of sources—APIs, files, databases, and licensed third-party datasets—and transforming it into clean, analytics-ready assets using modern data tooling.

This is a foundational engineering role for someone who takes pride in building things right: reliable pipelines, well-structured data models, and systems that others can trust and build on. You'll work closely with Data Scientists and other engineers across the SDI team to ensure that high-quality data is consistently available where and when it's needed — and structured in a way that directly accelerates scientific discovery.

The ideal candidate is deeply fluent in Snowflake and dbt, has strong opinions about data modeling best practices, and has experience handling large and complex datasets across diverse ingestion patterns. You thrive in environments where data quality and engineering rigor are treated as first-class concerns.

Responsibilities

• Partner closely with Data Scientists and other teams to build coherent data models, feature engineering pipelines, and structured evidence layers that directly support scientific analysis and machine learning workflows.
• Design and build scalable ingestion pipelines to onboard data from diverse sources including REST APIs, flat files, relational databases, and licensed third-party datasets.
• Develop and maintain robust data models in dbt, adhering to best practices around modularity, testing, documentation, and layered architecture (staging, intermediate, mart).
• Orchestrate pipelines using Dagster to ensure reliable, observable, and maintainable workflows.
• Implement data quality checks, validation frameworks, and monitoring to ensure trustworthiness of datasets across the platform.
• Collaborate with Data Scientists and analysts to understand data needs and translate them into well-structured, reusable models.
• Handle large-scale data movement and transfer scenarios, applying appropriate tooling and patterns to ensure efficiency and reliability at scale.
• Document data models, pipeline logic, and transformation assumptions to support discoverability and data governance.

About You

• You have 5+ years of experience in data engineering, with a strong track record of building and maintaining production-grade pipelines.
• You are deeply fluent in dbt and follow best practices rigorously—including modular model design, sources and refs, testing (schema + data), documentation, and environment management.
• You have hands-on expertise with Snowflake, including schema design, performance tuning, and data governance patterns.
• You have experience with at least one modern orchestration tool—we use Dagster, but experience with Airflow or Prefect is equally welcome.
• You have broad ingestion experience across source types: REST APIs, flat files (CSV, JSON, Parquet), relational databases, and vendor-licensed datasets.
• You have worked with large datasets (TB -> PB scale) and understand the engineering considerations that come with scale—partitioning, incremental loading, efficient data movement, and storage optimization.
• You're a strong data modeler who thinks carefully about how data is structured, named, and layered for downstream usability.
• You value documentation, testability, and building things others can maintain and extend.
• You can balance upfront design with speed to execution, slowing down when it counts without getting stuck in the details.
• Bonus: You have experience with data quality and observability tooling such as Elementary, Great Expectations, or similar frameworks — and you treat data quality as a first-class engineering concern, not an afterthought.
• Bonus: You have experience with Spark, Databricks for large-scale data processing workloads.
• Bonus: You have experience with large-scale data transfer tooling such as AWS DataSync, AWS S3 Transfer Acceleration, or equivalent cloud-native data movement services.
• Bonus: You have experience in healthcare or life sciences data environments, including familiarity with EHR, claims, or other biomedical datasets.

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

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

Who We Are

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

Where You Fit 

We are seeking Machine Learning Engineers (Applied Research & Model Development) to join our team and tackle unique machine learning challenges to advance medicine and improve patient care. You will work closely with teams across biomedical data science, product development, translational research, MLOps, and platform engineering to develop and deploy machine learning models for our AI products and services.

What You’ll Do

As an MLE (Applied Research & Model Development) at PathAI, your responsibilities will grow in scope as you progress through levels:

• Design, develop, and deploy machine learning models for research and product development projects.

• Collaborate cross-functionally with scientists, engineers, and product teams to translate biological and clinical requirements into scalable ML solutions.

• Contribute to experimental design and analysis, including ideation, documentation, and reporting.

• Participate in knowledge sharing and team initiatives (e.g., design reviews, journal clubs, ML best practices, governance activities).

• Improve ML pipelines and infrastructure in partnership with MLOps and platform teams.

• Publish and present scientific work, supporting abstracts, manuscripts, and conference contributions.

Level-specific expectations:

• MLE I: Contribute to projects with guidance, implement models, and learn best practices.

• MLE II: Independently deliver on projects, improve processes, and mentor junior engineers.

• MLE III: Lead initiatives end-to-end, set technical direction, and identify new opportunities with clear business and scientific impact.

You will have the opportunity to work in a company where all employees put patients first. We believe that every team member provides valuable contributions to our success, and no task is too small for anyone if it's important to our company goals.   Every PathAI employee is a contributor to our mission to pioneer better patient care by providing the best, most innovative AI tools to biotech, pathologists, clinicians and healthcare organizations. You will work alongside and with leading innovators in the field of AI and medicine and you will play a critical role in product development to impact patient outcomes.

What You Bring

We welcome applicants across all MLE levels. Minimum qualifications differ by level:

MLE II:

• Master’s degree plus 2–4 years of experience, or Ph.D. with 0–2 years of experience.

• Proven track record of developing and deploying machine learning models into production or research applications.

• Strong proficiency in Python, ML frameworks, and data pipeline development.

• Demonstrated ability to work independently on projects, contribute to experimental design, and improve ML workflows.

• Strong communication skills and ability to collaborate across scientific and engineering teams.

MLE III 

• Master’s degree plus 5+ years of experience, or Ph.D. with 3+ years of experience.

• Deep expertise in ML, computer vision, or biomedical AI, with a history of high-impact contributions (publications, open-source, or products).

• Mastery of ML frameworks, software engineering best practices, and deployment pipelines.

• Ability to lead end-to-end projects, mentor others, and set technical direction.

• Experience articulating technical improvements into business or clinical impact.

• Strong record of contributions to scientific strategy (abstracts, manuscripts, conference presentations).

We Want To Hear From You

At PathAI, we are looking for individuals who are team players, are willing to do the work no matter how big or small it may be, and who are passionate about everything they do. If this sounds like you, even if you may not match the job description to a tee, we encourage you to apply. You could be exactly what we're looking for. 

PathAI is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications — that's all. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We don't tolerate any kind of discrimination or bias, and we are looking for teammates who feel the same way.

The cash compensation outlined below includes base salary or hourly wage and on-target commission for employees in eligible roles. The summary below indicates if an employee in this position is eligible for annual bonus, overtime pay and equity awards. Individual compensation packages are tailored based on skills, experience, qualifications, and other job-related factors. 

Annual Pay Range:
Machine Learning Engineer II: $107,250 - $164,450
Machine Learning Engineer III: $130,500 - $200,100

Not Overtime Eligible

Eligible for Equity

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

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

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

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

QUALIFICATIONS AND REQUIREMENTS:

Education

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

Experience

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

Knowledge, Skills, and Abilities

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

ESSENTIAL FUNCTIONS:

Physical Demands: 

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

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

Work Environment: 

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

TOTAL REWARDS PROGRAM:

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

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

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

Role Overview 

We are seeking highly skilled, and motivated Director of Combination Product & Device Development, to lead the development, manufacturing, assembly and commercialization of high‑concentration biologic delivery systems, including, prefilled syringes, autoinjectors and other drug–device combination products.

The ideal candidate brings deep expertise in device design control, verification and validation, risk management, combination product regulations, and human factors engineering. This role requires hands‑on technical leadership and extensive experience with regulated devices and combination products (21 CFR 820, ISO 13485), as well as strong knowledge of global device standards (ISO, IEC 62366, ANSI/AAMI HE75) and FDA guidance. A successful track record supporting major regulatory submissions (BLA, MAA, IND/IMPD) and notified body assessments is essential.

Key Responsibilities 

Device Development

• Lead end‑to‑end development and commercialization of prefilled syringes, dual‑chamber cartridges, autoinjectors, and related combination product systems.
• Serve as a hands‑on technical leader and device SME across concept, feasibility, development, qualification, and launch phases.
• Define user needs and product requirements; lead prototyping, test method development, and design verification and validation (DV/V) activities.
• Drive design control documentation, risk assessments, usability studies, and human factors integration.
• Collaborate deeply with internal partners across CMC, drug product development, quality assurance, regulatory affairs, clinical development, supply chain, and commercial functions.
• Build and manage external relationships with CDMOs, device manufacturers, design firms, and suppliers to support development and lifecycle needs.
• Support lifecycle management of commercial combination products, including design history file (DHF) maintenance, change control, validation activities, complaint investigations, and post‑market surveillance.
• Evaluate technical decisions for cross‑functional impact and implement contingency plans as needed.
• Proactively identify and address manufacturing issues; coordinate technical solutions across internal and external teams.
• Lead creation of design control deliverables to ensure compliance with global device and combination product regulations.
• Oversee development of statistically sound verification protocols, reports, and design validation strategies.
• Lead or contribute to investigations of deviations, failures, complaints, and device‑related quality issues.

Design Controls & Human Factors

• Serve as the organizational expert in Human Factors Engineering, ensuring compliance with IEC 62366, ANSI/AAMI HE75, FDA guidance, and related industry standards.
• Integrate usability, human performance considerations, and safety risk mitigations into system requirements and development strategies.
• Ensure all human factors processes, deliverables, and standards are appropriately documented within the Design Control Quality System.
• Lead the cross‑functional design control sub‑team and drive cohesive integration across device design, analytical testing, packaging, manufacturing, clinical, supply chain, commercial, and regulatory functions.
• Manage and prioritize multiple concurrent projects, ensuring alignment to scope, timelines, budgets, and quality standards.

Regulatory Support

• Ensure compliance with global combination product and medical device regulations, including FDA and EU frameworks (e.g., EDDO, MDR).
• Author device‑related sections for regulatory submissions (BLA, MAA, IND/IMPD) and support notified body interactions.
• Represent the combination product function during regulatory audits and inspections.
• Lead proactive risk identification, mitigation planning, and escalation of critical issues.
• Demonstrate strong understanding of FDA’s Office of Combination Products (OCP), including primary mode of action (PMOA) requirements and combination product complaint expectations.

Qualifications 

• Master’s degree (or equivalent) in Mechanical Engineering, Biomedical Engineering, Chemical Engineering, or a related field.
• 15+ years of experience in biologic delivery device development with a proven record of supporting late‑stage development and commercial product launches.

• Experience with design controls, device risk management, medical devices, prefilled syringes, autoinjectors, and related scientific and technical concepts and techniques is required for this position.
• Deep knowledge of subcutaneous delivery systems, systems engineering principles, device materials, and manufacturing technologies; experience with biologics and packaging development preferred.
• Strong understanding of FDA and EU regulations for medical devices and combination products, including relevant quality systems and standards.
• Experience managing external partners, vendors, and contract manufacturers.
• Proven experience with cGMP process development, manufacturing controls, and process risk assessments.
• Excellent communication, leadership, and cross‑functional collaboration skills.
• Ability to thrive in a fast‑paced, agile environment; start‑up experience is highly desirable.

Position Location 

This is a fully remote role with up to 15-20% domestic and/or international travel.

The anticipated salary range for candidates for this role is $210,000 - $235,000. The final salary offered will depend on several factors, which may include, but not limited to, relevant years of experience, educational background, and geography. 

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.

About Kernal Biologics, Inc. 

Kernal Bio is a venture-backed therapeutics company engineering cells inside the body using AI-designed, selective mRNA and targeted LNP technology. By developing in vivo CAR-T therapies, Kernal Bio is advancing precision treatments for autoimmune diseases and blood cancers. The company was founded by experts from MIT, Harvard, Merck, and BMS, and its leadership team brings a track record of three FDA-approved therapies and over 120 patents. With support from leading investors, including Hummingbird Ventures, Amgen Ventures, Y Combinator, and HBM. Kernal Bio is transforming the future of cell therapy design and delivery.

Job Summary:

Kernal Bio is seeking a highly motivated and experienced Vice President of Chemistry Manufacturing and Controls (VP of CMC) with expertise in mRNA-tLNP manufacturing to contribute to the development of its mRNA 2.0 platform for therapeutic applications. The successful candidate will inspire and lead a team responsible for manufacturing, process development, and analytical development of mRNA-LNP therapeutics. Proficiency in mRNA-tLNP chemistry and biology workflows, coupled with experience in Good Manufacturing Practices (GMP) mRNA-tLNP manufacturing, is essential for this role.

Responsibilities:

• Lead and scale the CMC organization, defining strategy for mRNA drug substance and targeted LNP (tLNP) drug product from preclinical through clinical development

• Oversee development and scale-up of mRNA IVT manufacturing, purification processes, and tLNP formulation, ensuring robust, reproducible performance

• Build and drive internal manufacturing capabilities, while strategically leveraging and managing CDMOs/CROsfor scale and flexibility

• Drive process development (DOE-driven), optimization, and tech transfer to support GMP manufacturing campaigns (internal and external)

• Establish and manage analytical and bioanalytical strategies (e.g., HPLC, qPCR, ELISA, cell-based assays) to support product characterization, potency, and release

• Define and execute CMC regulatory strategy, including authoring IND/CTA sections and supporting agency interactions

• Partner cross-functionally with R&D and preclinical teams, including coordination of in vivo studies, to ensure alignment between CMC and biology

• Drive innovation and continuous improvement, including evaluation of new technologies and COGS reduction strategies for in vivo CAR-T programs

• Support IP strategy, technical reports, and publications, and present data internally and at external scientific forums

• Build, mentor, and expand a high-performing team, fostering strong execution, data rigor, and clear communication

Requirements:

• PhD/MS/BS in Chemical Engineering, Biomedical Engineering, Chemistry, Biology, Molecular Biology, or related field

• 10–15+ years of industry experience in CMC development, including leadership experience

• 5+ years of experience in nucleic acid and/or lipid nanoparticle (LNP) manufacturing

• Demonstrated experience advancing programs from preclinical to IND/clinical stages

• Deep expertise in mRNA manufacturing (IVT, purification, scale-up, characterization)

• Strong experience with LNP formulation, preferably targeted LNP (tLNP) or conjugation strategies

• Experience in process development, scale-up, and GMP manufacturing

• Strong understanding of CQAs, CPPs, and analytical strategies for nucleic acid therapeutics

• Familiarity with stability, formulation, and product lifecycle management

• Experience authoring CMC sections for IND/CTA filings and supporting regulatory interactions

• Experience selecting and managing CDMOs/CROs, including tech transfer and manufacturing oversight

• Exposure to building or supporting internal manufacturing capabilities

• Experience with analytical techniques (HPLC/UPLC, FPLC, qPCR, ELISA, LC-MS/MS, MALDI-TOF MS, NMR, cell-based assays, flow cytometry)

• Familiarity with nucleic acid chemistry, purification, enzyme kinetics, and biomolecule characterization

• Experience applying Design of Experiments (DoE) and bioprocess engineering principles

• Working knowledge of GMP regulations and quality systems

• Strong ability to analyze, interpret, and communicate scientific data clearly

• Excellent written and verbal communication skills

• Strong organization, record-keeping, and data management skills

• High attention to detail with strong problem-solving and troubleshooting ability

• Proven ability to build, lead, and mentor teams in a fast-paced environment

• Experience working in a startup or high-growth environments

• Ability to work independently while collaborating effectively across teams

Preferred Qualifications

• Experience with targeted lipid nanoparticles (tLNPs) or ligand/antibody conjugation

• Experience with in vivo studies (e.g., rodent models)

• Prior mammalian cell culture experience

• Experience with automation and high-throughput systems

• Track record of innovation, IP filings, or publications

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.

Kernal Bio is a venture-backed therapeutics company engineering cells inside the body using AI-designed, selective mRNA and targeted LNP technology. By developing in vivo CAR-T therapies, Kernal Bio is advancing precision treatments for autoimmune diseases and blood cancers. The company was founded by experts from MIT, Harvard, Merck, and BMS, and its leadership team brings a track record of three FDA-approved therapies and over 120 patents. With support from leading investors, including Hummingbird Ventures, Amgen Ventures, Y Combinator, and HBM. Kernal Bio is transforming the future of cell therapy design and delivery.

Job Summary  
Kernal seeks a highly motivated principal scientist for antibody development and production.  The successful candidate will partner with external collaborators (e.g., CROs, CDMOs) to lead the design, development, and production of novel antibodies for targeted LNP applications.  This successful candidate will also be responsible for establishing internal antibody production and analytical capabilities to support preclinical research as well as external development activities.   

Responsibilities: 

• Lead antibody development, production, and scale-up for preclinical research activities as well as GMP manufacturing.  Responsible for reviewing and approving critical documentation (e.g., protocols, process development batch records, analytical methods, specifications, etc)
• Establish internal capabilities for the development, production, and analysis of antibody supplies to accelerate and troubleshoot external development activities and provide materials for preclinical research.   
• Review, supervise, and/or execute experiments to optimize cell culture, harvest, and downstream purification.   
• Author tech transfer documentation (e.g., process descriptions, bill of materials, draft specifications, analytical methods) based on both external collaborator activities and internal development activities.   
• Maintain thorough and detailed electronic laboratory notebooks
• Analyze, interpret, and summarize experimental data
• Communicate results to team and management in technical reports and oral presentations 

Requirements: 

• Degree in Chemical/Biomedical Engineering, Pharmaceutical Sciences, Biochemistry, Analytical Chemistry or a similar field. (PhD is preferred)  
• PhD with 5 years of industry experience, M.S (or equivalent) with 7 years of experience, B.S (or equivalent) with 10 years of experience, 
• Experience with the development and/or production of recombinant proteins, monoclonal antibodies, and/or antibody fragments.  Experience with difficult-to-produce proteins/protein fragments (e.g., low titer or low solubility) preferred.   
• Experience in mammalian cell culture and transfection.  Experience with harvest and purification technologies (e.g., normal flow filtration, tangential flow filtration, chromatography, virus filtration).
• Experience using Design of Experiments (DOE) to optimize cell culture yields/titers and/or performance of downstream purification.
• Familiar with analytical methods commonly used for antibody assays (e.g., SEC, WB, ELISA, SDS-PAGE, etc)
• Strong molecular biology skills
• Experience with plasmid vector design and codon engineering (nice to have).  
• Ability to analyze, summarize, and communicate scientific data
• Attention to detail, ability to multitask, and troubleshoot
• Strong written and verbal communication skills
• Excellent record-keeping and data management skills
• Experience working in fast-paced startup environments
• Ability to work independently while effectively interacting and collaborating in a team environment
• Adaptability and enthusiasm for new challenges, innate curiosity, and a passion for learning 

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 is dedicated to providing 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 reasons of race, color, national origin, age, gender, sexual orientation, marital or veteran status, religion, disability, or any other legally protected status. Kernal will make reasonable accommodations for qualified individuals with known disabilities in accordance with applicable law. 

Click Here to Apply: https://www.kernalbio.com/careers