The Team

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

Our Vision                                                                     

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

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

The Opportunity

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

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

What You'll Do

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

What You'll Bring

Essential - 

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

Nice to have - 

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

Compensation

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid #LI-Onsite

The Team

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

Our Vision                                                                     

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

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

The Opportunity

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

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

What You'll Do

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

What You'll Bring

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

Compensation

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid #LI-Onsite

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 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

About the Opportunity

We’re Cleerly – a healthcare company based in Denver, Colorado and New York, New York that’s revolutionizing how heart disease is diagnosed, treated, and tracked.  We were founded in 2017 by one of the world’s leading cardiologists and are a growing team of world-class engineering, operations, medical affairs, marketing, and sales leaders. We raised $223M in Series C funding in 2022 which will enable rapid growth and continued support of our mission.

Cleerly is creating a new standard of care for heart disease through value-based, AI-driven precision diagnostic solutions with the goal of helping prevent heart attacks. Our technology goes beyond traditional measures of heart disease by enabling comprehensive quantification and characterization of atherosclerosis, or plaque buildup, in each of the heart arteries.  Cleerly’s solutions are supported by more than a decade of performing some of the world’s largest clinical trials to identify important findings beyond symptoms that increase a person’s risk of heart attacks.

About the Opportunity

We are seeking a highly skilled Staff Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health.

Key Responsibilities

• Research and develop state-of-the-art AI and non-AI algorithms for coronary CT/fluoroscopy imaging applications.
• Implement efficient and robust image processing pipeline to solve challenging problems in low latency environments.
• Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams.
• Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo, PCCP), including generating evidence and documentation.
• Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice.
• Communicate findings and strategy to internal stakeholders and leadership through clear technical documentation, presentations, and demos.
• Contribute to intellectual property development through patents and scientific publications.
• Mentor junior scientists and foster a culture of technical excellence and scientific rigor.

Required Qualifications & Skills

• PHD. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 5+ years combined postdoc and/or industry experience; OR an M.S. with 8+ years of relevant experience.
• Applied AI/DL research for medical imaging diagnostics and analysis, classical image processing algorithm, optical flow analysis, 2D&3D rigid/deformable image registration
• Proven track record of successful product delivery in medical imaging domain
• Strong experience in C++ and Python.
• Experience of developing and applying graph processing or GNN(graph neural network)
• Prior experience with ITK, OpenCV, VTK, CMake, Slicer is a plus
• Prior experience with cardiac motion modelling or tracking is a plus
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred Qualifications

• 5+ years of industry experience in AI-based medical device development or clinical deployment.
• Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways.
• Deep domain knowledge in cardiovascular imaging and CT interpretation workflows.

OUR COMPANY IS AN EQUAL OPPORTUNITY EMPLOYER.  We do not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation.

Job duties, activities, and responsibilities are subject to change by our company.

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: $234,000 - $271,000 
• TTC: $268,000 - $311,000

*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.

Since its inception in 2014, Roivant Sciences has sought to improve health by rapidly delivering innovative medicines and technologies to patients. We’ve employed a unique, decentralized model of nimble, focused companies (‘Vants’) focused on various therapeutic areas and built around the pursuit of innovation in drug development and technology.

Our model is different. Five new medicines have been approved off the Roivant platform; we’ve built five biotechs that have become public; we’ve created well over $1b in value in Roivant Health in just six years.  Our successes have ranged from computational drug discovery to tokenized healthcare data exchange, and from novel topicals for dermatological conditions to ultrarare tissue therapies.

Roivant Health is Roivant’s platform for the creation of new technology Vants, focused on delivering improvements to human health outside of our traditional biotech platform.  In six years since inception, we’ve created eight enduring companies and over $1B in enterprise value, including the leading deidentified healthcare data exchange platform (Datavant) and a top-tier computational drug discovery company (VantAI) which has partnered with Johnson & Johnson, Bristol-Myers Squibb, and Boehringer Ingelheim. Our goal is to improve human health by rapidly discovering, developing and delivering innovative medicines and technologies to all patients. Our success is predicated on attracting and retaining top talent, generating new ideas and promoting an open and collaborative culture.

We embrace diversity across all dimensions and levels of the organization, and we strive to ensure every employee is supported in reaching their full potential. We hire motivated people with diverse backgrounds, identities, experiences and skillsets. We are committed to fostering an inclusive culture where all employees feel valued, respected and empowered to create value for patients.

Summary:

Roivant is seeking a Founding Engineer to work on the core technology underpinning new healthcare and life sciences companies. You’ll partner with business, operational, product, and/or clinical leaders to rapidly de-risk, prototype and productize new software, working at the intersection of AI, data engineering, and real-world biomedical data. This is a hands-on, highly entrepreneurial role ideal for a talented software engineer who wants to build groundbreaking health AI products.

Responsibilities:

• Contribute to technical strategy for new company formation, including scoping early technical feasibility, identifying data and infrastructure needs, and building initial proof-of-concept systems
• Design, build, and iterate on tooling, infrastructure, and workflows to run AI/ML training and inference workloads at scale across varied health × AI applications
• Develop and refine data and model pipelines that integrate multimodal health data (e.g., clinical text, omics, imaging, sensor data, etc.) for downstream AI/ML tasks
• Collaborate closely with domain experts and business stakeholders to incorporate client and commercial insights into model design and deployment

Qualifications:

• Experience building and deploying ML or AI systems in production
• Strong Python engineering skills with experience in building scalable, testable codebases
• Comfort working in fast-paced, high-ambiguity environments where requirements evolve

We are deep believers in rapid career advancement for high performers and take a flexible approach to role design, adjusting responsibilities based on individual strengths. The ideal candidate is ambitious, entrepreneurial, and comfortable with ambiguity, driven by a passion for building transformational healthcare technology. We seek individuals who embrace calculated risk-taking as essential to achieving meaningful outcomes for patients.

Base salary for this role will be determined during the interview process and will vary based on multiple factors, including but not limited to prior experience, relevant expertise, current business needs, and market conditions. The expected base salary for the role will generally be between $130,000 to $180,000 per year at the commencement of employment, but the final salary offered may be outside this range based on individual circumstances and business and market conditions. 

Base salary if hired is only part of the total compensation package, which, depending on the position, may also include other components such as discretionary bonuses, equity, and Company-sponsored benefit programs.

This position is at-will and Roivant reserves the right to modify base salary (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance and business and market conditions.

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

The Team

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

Our Vision                                                                     

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

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

The Opportunity

The van der Stegen Lab at Biohub NY studies human immune cell development from induced pluripotent stem cells and designs engineering strategies to harness immune cells for therapeutic applications. We are looking for a Computational Biologist to join our team to further expand our evaluation of immune cell lineage commitment, function and how genetic engineering strategies can affect those. 

The Computational Biologist will possess deep expertise in the analysis of single cell transcriptional data, including developmental trajectory analysis, and ideally also have experience with proteomics datasets. They have an interest in hematopoiesis and immune cell biology and can demonstrate the intention to apply state-of-the-art analysis tools through close collaboration with the data science team at Biohub.

What You'll Do

• Implement and create analytical pipelines for transcriptomics, including chemical and/or genetic perturbations, and multi-omic datasets
• Support immunologists in experimental design for transcriptomic and multi-omic analysis
• Support immunologist in the experimental design of CRISPR screens
• Analyze scRNAseq, CITE-seq, scATACseq, TCR/BCRseq and Mass Spectrometry datasets
• Incorporate publicly available datasets with in-house generated datasets
• Support new hypothesis generation 
• Present research findings in academic journals and conferences

What You'll Bring

• PhD degree in computational biology, systems biology, immunology, bioengineering or a related field.
• Experience working with hematopoiesis-, immunology- or developmental biology-related datasets
• Experience analyzing data from perturbational screens (e.g. perturb-seq)
• At least 4 years of programming experience in R and/or Python
• Ability to communicate effectively with wet-lab biologists
• Expertise in bioinformatics including computational pipelines for analyzing bulk and single-cell genomics (Scanpy, Seurat, etc)
• Ability to work efficiently in HPC or cloud compute (e.g. AWS) environments
• Strong written and verbal communication skills
• Experience in presenting research findings
• Track record of publishing in peer-reviewed journals 
• 3+ years of experience with large scale immune data (single cell sequencing, T and B cell receptor profiling, mass spectrometry)
• Demonstrated ability to deliver multiple large biological data products, deploying QC best practices
• Experience with proteomic analysis datasets including flow cytometry and mass spectrometry
• Experience with spatial transcriptomics
• Familiar with metabolomic datasets
• Committed to writing well-commented code and documentation, and familiarity with coding best practices (i.e. version control, code review)

Compensation

The New York City, NY base pay range for a new hire in this role is $153,000 - $210,100. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Onsite

The Team

Biohub is the first large-scale initiative bringing frontier AI models, massive compute, and frontier experimental capabilities under one roof. We're building a general-purpose system to accelerate scientific discovery, integrating frontier AI models, biological foundation models, and lab capabilities, with the ultimate goal of curing disease. Our technology powers scientists around the world, translating AI capabilities into tools that accelerate research ev

Our Immune Cell Reprogramming team integrates foundational research on immunology and disease biology with AI-modeling to develop engineered cells that harness our own immune system to detect and treat early signs of age-related diseases, like cancer, Alzheimer’s, and Parkinson’s. These technologies will enable precise, context-dependent therapeutic responses only when and where it is needed. You can learn more about our work here. 

Our work brings together three powerhouse universities - Columbia University, The Rockefeller University, and Yale University - into a single collaborative technology and discovery engine.

Our Vision

• Pursue large scientific challenges that cannot be pursued in conventional environments
• Enable individual investigators to pursue their riskiest and most innovative ideas
• Facilitate research by scientists and clinicians at our home institutions and beyond

We are a team of passionate individuals powered by technology, guided by scientific research, and driven by collaboration, working toward a mission to cure or prevent all disease.

The Opportunity

We are seeking a highly motivated Postdoctoral Fellow to lead development of pooled functional genomics technologies at scale, with emphasis on CRISPR technologies (CRISPRi, CRISPRa, CRISPRoff, and CRISPR base editing) in iPSC-derived immune cells and primary immune cells.

The role involves designing, optimizing, and validating new pooled CRISPR workflows and driving projects that provide new insights for immune system reprogramming and training foundational AI models. This position offers the opportunity to develop and own an independent research project—with potential to publish and present findings—while contributing to the team's broader collaborative efforts.

This is a wet lab-based, hands-on position that specifically requires experience with functional genomics method development and high-volume human cell culture. It offers the opportunity to develop and implement assays, conduct perturbation experiments, oversee data generation, and participate in follow-up discovery collaborations.

This role is ideal for a recent PhD with a proven track record in functional genomics and human cell culture (particularly iPSC culture) who excels at multitasking genomics projects and developing cutting-edge CRISPR genomics technologies. You will join a highly collaborative team at the forefront of massive-scale perturbation technologies and AI model development to predict how to reprogram the immune system to prevent, identify, and treat human disease.

This researcher will be based at our Satellite site in NYC integrated with a team specializing in advanced functional genomics technologies, particularly massive-scale pooled CRISPR screens and single-cell profiling, to understand immune cell regulation. The team sits at the intersection of next-generation wet-lab genomics technologies and AI model development.

What You'll Do

Essential 

• Massive-scale Perturb-seq: Design, optimize, scale, and carry out large-scale Perturb-seq experiments in iPSC-derived immune cells and immortalized cell lines.
• Assay development: Design, optimize, and validate CRISPR functional genomics technologies to obtain higher quality, more complex data about cell-state regulation in human cells.
• Immune cell engineering: Culture and differentiate iPSCs into immune cell types such as T-cells and macrophages.
• Data generation: Partner with AI researchers to process and interpret large-scale single-cell datasets.
• Collaboration and dissemination: Collaborate across disciplines to understand systems-level reprogramming of human immune cells.

Nice to have - 

• Experience with CRISPR screening in iPSCs and primary immune cells.
• Experience analyzing large-scale genomics datasets.
• Working knowledge of R or Python and single-cell analysis tools.
• Experience with cytokine or small molecule immune cell assays.

What You'll Bring

• PhD in molecular biology, systems biology, genetics, biomedical engineering, or related field
• Proven expertise and demonstrated success in large-scale functional genomics assays and method development
• Experience designing and executing pooled CRISPR screens and/or compound perturbation assays
• Excellent communication skills and proven ability to work in a collaborative team environment
• Ability to independently design rigorous experiments, troubleshoot complex workflows, and drive projects to completion.
• Collaborative mindset and strong scientific communication skills.

Compensation

The New York City, NY base pay range for a new hire in this role is $93,000.00. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

Benefits for the Whole You 

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

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

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

#LI-Hybrid #LI-Onsite

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 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 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 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 - 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

The Schwarzman Animal Medical Center (AMC) is seeking a board‑certified or board‑eligible veterinary radiologists to join our expanding Department of Diagnostic Imaging. As a premier non‑profit specialty hospital performing more than 50,000 imaging studies annually, AMC offers an unparalleled environment for clinical excellence, professional growth, and meaningful impact.

Our state‑of‑the‑art imaging facilities include:

• Two digital radiology suites
• Two dedicated ultrasound suites (Canon Aplio i700)
• Toshiba 64‑slice CT
• A new 1.5T Siemens Sola MRI
• QMed RIS, Mach7/eUnity PACS, and voice recognition for streamlined workflows

This exciting career opportunity provides a unique setting of service, teaching, and research opportunities. AMC supports a dynamic and stimulating teaching institution nestled within a rich biomedical and cultural environment with an endless variety of exciting activities, from the cultural to the culinary.  The high caseload, support from other radiologists, and constant interactions with other specialists create the perfect environment for professional growth.

Qualifications

A board-certified or board-eligible veterinarian in the American College of Veterinary Radiology or European College of Veterinary Diagnostic Imaging is required. The candidate must have or be able to obtain a license to practice veterinary medicine in the State of  New York.  Strong interest and clinical competence in small animal radiology, diagnostic ultrasound, CT and MRI are crucial skills for the job. The candidate must have excellent interpersonal and communication skills and be able to work as part of a team in a collegial teaching environment.

Clinical and Service Responsibilities

Duties include performing and interpreting diagnostic imaging studies for the teaching hospital and referral veterinarians.  We are currently on a 4-day/week schedule with one work-from-home day.  The applicant is expected to work some weekends. Service responsibilities may also include institutional committee work, continuing education, and contributing to professional organizations.

Teaching and Research

Clinical teaching includes instructing and supervising interns and residents in internal medicine, critical care, and surgery. Participation in research is encouraged and many opportunities are available, both at AMC and through the biomedical community of New York City. Teaching duties are centered on resident training and preparation for the ACVR board exam.  We collaborate often with the Bronx Zoo!

Join a dynamic team with great career opportunities in our state-of-the-art facility, and enjoy museums, sporting events, restaurants, and theater in the greatest city in the world.

Benefits

• Competitive salary
• Generous sign-on bonus
• Four-day work week
• Health insurance with medical, dental, and vision benefits
• Very generous PTO
• Continuing education time off and stipend
• 403b retirement play with employer match
• School loan debt forgiveness opportunity as a non-profit hospital with 10 years of non-profit employment under the federal loan forgiveness program for nonprofits
• Non-corporate practice with no percentage/production pay
• Collegial work with colleagues in a non-competitive structure with strong teaching and mentoring opportunities as well as opportunities for research

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

About the Opportunity

We are seeking a highly skilled Senior Scientist to lead the design, development, validation of innovative clinical workflow that can directly impact the diagnosis and treatment for heart disease. In this senior-level role, you are responsible for architecting a cutting-edge product that integrates our existing technologies while pushing the boundary of innovation in cardiac vascular imaging. You will also represent the company in strategic research collaborations with leading academic and clinical institutions, driving innovation at the intersection of AI and cardiovascular health.

About the Team

You will join our expert Computational Imaging team, where we develop sophisticated algorithms to enhance and improve medical imaging. We are focused on improving the quality and clinical value of medical images, creating powerful, extra software components that correct artifacts, standardize data, and ensure the utmost precision before the final analysis. Our work is essential for elevating the reliability and accuracy of Cleerly’s regulated products.

Responsibilities

• Research and develop state-of-the-art AI and non-AI algorithms for coronary CT imaging applications.
• Translate product and clinical requirements into algorithmic specifications in collaboration with Product and Clinical teams.
• Partner with Regulatory Affairs to support regulatory submissions (e.g., 510(k), De Novo,PCCP), including generating evidence and documentation.
• Collaborate with engineering teams to deploy AI and non-AI based solutions in clinical practice.
• Communicate findings and strategy to internal stakeholders through clear technical documentation, presentations, and demos.
• Contribute to intellectual property development through patents and scientific publications.

Requirements 

• Ph.D. in Computer Science, Data Science, Biomedical Engineering, Biomedical Imaging, or a related technical field, with 3+ years combined postdoc and/or industry experience; OR an M.S. with 5+ years of relevant experience.
• R&D experience in medical image processing, demonstrating subject matter expertise in deep learning methods for image quality enhancements, optical flow analysis and CT harmonization.
• 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).
• Strong experience in Python, Tensorflow and pytorch.
• Prior experience with ITK, OpenCV, VTK.
• Excellent interpersonal, cross-functional, and cross-cultural collaboration skills.

Preferred qualifications

• 3+ years of industry experience in AI-based medical device development or clinical deployment.
• Experience supporting FDA regulatory submissions for ML-based software, including familiarity with De Novo, 510(k), and PCCP pathways.
• Deep domain knowledge in cardiovascular imaging and CT interpretation workflows.

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.

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.

About RTW Foundation (RTWF)

RTW Foundation (RTWF) was founded in 2018 as the philanthropic arm of RTW Investments, LP a biotech investment firm. RTWF has two major focuses: improving health equity in New York City and advancing ultra-rare disease research. Our overarching goal is to improve the health of underserved communities, whether that be from historically underinvested communities in New York City (including communities of color and migrant populations) to patients and families facing ultra-rare diseases. Our rare disease initiatives focus on conditions often overlooked due to small patient populations and limited commercial incentives, working directly with patient-led foundations to move science toward the clinic.

Role Overview

The Research Scientist, Rare Disease is a senior scientific role within RTWF’s Rare Disease Advising Program (RDAP). This position leverages deep training in biomedical science and translational research to guide rare disease foundations through complex research, therapeutic development, and strategic decision-making landscapes.

The Research Scientist conducts in-depth literature reviews, analyzes preclinical and clinical data, and synthesizes insights into disease concept models, therapeutic hypotheses, and actionable research roadmaps. In parallel, this role plays a critical leadership function, managing and mentoring interns and junior researchers, standardizing research processes, and scaling RDAP’s disease review pipeline.

This role blends hands-on scientific analysis with strategic advising, team leadership, and close engagement with patient-led organizations, clinicians, academic investigators, and industry partners.

Why Join Us?

This role offers a unique opportunity to bridge scientific research, therapeutic development, and strategic advising in the rare disease space. At RTW Foundation, you’ll play a direct role in shaping research strategies that impact patients and families facing ultra-rare diseases. If you're passionate about applying your scientific expertise to drive meaningful change, we encourage you to apply.

Key Responsibilities

Scientific Advising & Research Support:

• Provide expert-level scientific and translational guidance to rare disease foundations through structured advising engagements.
• Conduct and oversee comprehensive literature reviews and landscape analyses spanning disease biology, natural history, therapeutic modality prioritization, potential research collaborators.
• Develop disease concept models and multi-stage research roadmaps to guide foundation strategy and funding decisions.
• Identify knowledge gaps, preclinical or clinical barriers, and drug development opportunities across rare disease areas.
• Track and synthesize trends across therapeutic platforms (e.g., gene therapy, RNA therapeutics, genome editing, biologics, small molecules) to inform up-to-date recommendations.

Research Oversight & Team Management

• Recruit, train, and supervise internal (in-person) and external (virtual) interns, fellows, and volunteers conducting disease-focused research deep-dives.
• Guide and quality-control team-generated research outputs to ensure scientific rigor, clarity, and strategic relevance.
• Standardize templates, workflows, and training materials to support scalable and repeatable disease review processes.
• Balance individual contributor work with primary responsibility for managing and mentoring others.

Grant & Funding Support:

• Participate in the scientific review of research grant proposals for scientific rigor and translational potential.
• Support rare disease foundations in refining funding strategies aligned with therapeutic readiness and impact.
• Contribute to the improvement and scaling of internal grant review, tracking, and reporting systems.

Cross-functional & External Engagements:

• Represent RTW Foundation in scientific meetings, workshops, conferences, and collaborative forums.
• Participate in meetings with patient-led organizations, translating complex science into clear, actionable guidance.
• Collaborate across RTWF programs and with external partners to share insights and inform organizational strategy.

Deliverables

• Regular preparation of disease-specific research slide decks (“deep dives”) summarizing biology, therapeutic landscape, and strategic considerations.
• Development and maintenance of standardized slide and report templates to support RDAP research activities.
• Completion and oversight of a sustained pipeline of disease reviews supporting advising engagements and funding cycles.

Qualifications and Skills

Education & Experience:

• PhD (preferred) in biomedical sciences, genetics, pharmacology, immunology, neuroscience, or related fields us required.
• Post-PhD experience preferred, including Industry experience in drug development (e.g., biotech, pharma, translational research organizations), or Academic experience with leadership in rare disease or translational research.
• Demonstrated understanding of therapeutic development pipelines, including preclinical models, IND-enabling studies, and clinical trial planning.
• Experience mentoring scientists or managing research teams.

Skills & Attributes:

• Deep scientific curiosity with the ability to translate complex research into clear, practical, and actionable recommendations.
• Strong written and verbal communication skills across technical and non-technical audiences, including rare disease families.
• Highly organized and detail-oriented with strong project management capabilities.
• Collaborative, patient-centered mindset aligned with nonprofit mission-driven work.
• Familiarity with research platforms (e.g., PubMed, Scopus), grant management tools (e.g. Salesforce) and productivity software (SharePoint, Outlook).
• Must be able to work from our New York City office (on-site/hybrid).

The duties and responsibilities described are not a comprehensive list and additional tasks may be assigned to the employee from time to time.

Compensation & Benefits

The base salary for this New York-based position ranges from $120,000 to $150,000, depending on experience, skills, and responsibilities. Actual salary may vary based on qualifications and the level at which the role is hired. In addition to the base salary, the role includes a discretionary incentive compensation program, and a full benefits package, including medical and life insurance, retirement plans, tax-free savings options, and access to other healthcare programs. Hybrid work policy offering one day work from home. Some community events will require a commitment outside of typical working hours, for example our quarterly Days of Action are typically held on Saturdays.

To Apply

Please submit a resume and a personal statement highlighting any previous non-profit or rare disease research experiences that might be relevant to the role outlined above.

About Beneficial Deployments:

Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most.

About the Role:

We're looking for an Applied AI Engineer to join our Beneficial Deployments team, focused on maximizing the impact of Claude in the life sciences. Our goal is ambitious: accelerate scientific progress from R&D through translation by an order of magnitude. That means making Claude the go-to tool for the life sciences ecosystem from early discovery in academia to paradigm shifting biotech to reimaging pharma pipelines  — and building the technical infrastructure to back that up.

You'll work directly with flagship research partners like Howard Hughes Medical Institute and The Allen Institute, embedded in their scientific workflows. This isn't consulting from the outside — you'll be building alongside their engineers, prototyping agents that fit into real research pipelines, and developing the ecosystem-level tooling (MCP servers, benchmarks, reusable agent skills) that extends Claude's usefulness across the broader life sciences community. This role will be part of the founding Beneficial Deployments applied AI team focused on bringing more of life sciences closer to the frontier and be responsible for building with our partners. 

Responsibilities:

• Partner deeply with flagship life sciences research institutions — understand their scientific workflows end-to-end, build hands-on with their engineering teams, and help take projects from early exploration to production systems integrated into how they do science day-to-day.

• Develop reusable ecosystem infrastructure, like MCP servers for domain-specific data sources (genomics platforms, literature databases, experimental repositories), instruments, scientifically-grounded benchmarks, and agent skills that other institutions can adopt without starting from scratch.

• Identify what's actually hard about deploying AI in life sciences (heterogeneous data, auditability requirements, the prototype-to-trust gap) and feed those findings back to product, engineering, and research.

• Create technical content and documentation that lets partners self-serve, so what works for one institution can scale globally without the same level of hand-holding.

You Might Be a Good Fit If You Have:

• 4+ years as a Software Engineer, Forward Deployed Engineer, or technical founder — with production experience shipping systems that real users depend on.

• Deep research experience in life sciences, biomedical research, or scientific computing. Bonus if you've studied genomics, neuroscience, or drug discovery specifically and are comfortable getting deeply technical with academics.

• Experience building LLM-powered tools or applications: prompting, context engineering, agent architectures, evaluation frameworks.

• Builder credibility from shipping production code as a software engineer, forward-deployed engineer, or technical founder.

• A scrappy mentality–comfortable wearing multiple hats, building from scratch, driving clarity in ambiguous situations, and doing whatever it takes to further the mission.

About Synaptrix Labs Inc.

Synaptrix is building the future of non-invasive brain-computer interfaces.

We believe the next leap in neurotechnology will come from the right fusion of deep learning, signal processing, and computational neuroscience, not just better hardware. Our mission is to build systems that can restore communication, mobility, and autonomy, while laying the foundation for a new era of human-computer interaction.

We’re looking for a full-time Grant Writer (PhD) to lead and support high-quality grant submissions across NIH, NSF, DoD, BARDA, ARPA-H, and other non-dilutive funding programs. This person will work closely with leadership, research, and technical teams to help Synaptrix secure funding that accelerates both our science and product roadmap.

Responsibilities:

• Lead drafting and submission of grants across NIH, NSF, DoD, ARPA-H, and related agencies
• Translate Synaptrix’s technical work into clear, compelling, fundable proposals
• Manage the full grant lifecycle: opportunity identification, writing, submission, revisions, and reporting
• Work closely with leadership, scientists, and engineers to shape specific aims, technical narratives, milestones, and budgets
• Help structure research roadmaps around grantable workstreams and strategic funding opportunities
• Support subcontractor / academic collaborator coordination when relevant
• Maintain a pipeline of upcoming non-dilutive funding opportunities relevant to Synaptrix

Minimum Qualifications:

• PhD in Neuroscience, Biomedical Engineering, Computer Science, Bioengineering, or related field
• Strong experience writing and/or supporting successful NIH, NSF, DoD, or equivalent federal grant submissions
• Excellent scientific and technical writing skills
• Ability to understand and communicate complex interdisciplinary work across AI, neurotechnology, signal processing, and medical devices
• Highly organized and able to independently manage multiple deadlines and submissions
• Strong judgment, ownership, and attention to detail

Preferred Qualifications:

• Prior experience in neurotechnology, BCI, computational neuroscience, medical devices, or translational biotech
• Familiarity with SBIR/STTR, R01/R21, NSF translational grants, or defense-related funding mechanisms
• Experience working directly with startup founders, principal investigators, or technical R&D teams
• Comfort contributing to scientific strategy, framing research directions in ways that are both ambitious and fundable
• Experience with grant reporting, progress updates, and compliance documentation

About our Culture:

We care a lot about talent density, speed, and intellectual honesty.

Synaptrix is a small, ambitious team working on a problem that actually matters. We value people who can think clearly, write sharply, move fast, and operate with high ownership. We are deeply mission-driven, highly technical, and serious about building something important.

What We Offer:

• Competitive pay + equity
• Health benefits
• A chance to help shape the future of neurotechnology and non-invasive BCI
• High ownership and direct exposure to company strategy, research, and fundraising
• Growth potential for team members who have outsized impact
• Paid holidays, unlimited PTO

Position Summary

We are seeking a visionary, hands-on scientific leader to drive our high-throughput functional genomics discovery platform. In this role, you will collaborate closely with experimental and computational teams across Neptune, manage and develop a high-performing group of scientists and research associates, and lead the onboarding and scale-up of next-generation single-cell screening technologies. You will serve as a technical authority in genomics technologies across the organization and play a central role in enabling large-scale screening for Neptune’s discovery engine—building a unique data moat that powers rapid and continuous target identification.

The ideal candidate brings deep expertise in advanced single-cell CRISPR screening and sequencing technologies, combined with strong people leadership, project management experience, and a demonstrated ability to deliver large-scale projects under tight timelines. This role requires a highly collaborative, team-oriented mindset with a focus on generating high-quality results at speed.

About You

• Scientific expert and team leader: You bring deep expertise in advanced single-cell and CRISPR screening technologies and have a strong track record of building and mentoring high-performing scientific teams through clear goals, execution, and guidance.
• Systems thinker and process optimizer: You think naturally at scale - building  efficient workflows, and enabling large-volume research while balancing scientific rigor with operational demands.
• Results-driven: You thrive in fast-paced environments with tight deadlines, excel at prioritization, and consistently deliver complex projects on time within high-throughput settings..
• Collaborative Team-player: You enjoy leading and mentoring a team of research scientists and associates, and you excel at working across experimental, computational, and operational teams to achieve shared goals. 
• Adaptable learner: You stay current with emerging genomics technologies, apply sound judgment when adopting innovations, and can pivot strategies effectively to meet evolving organizational needs

Key Responsibilities

• Act as a key individual contributor in a highly collaborative team, providing hands-on expertise in the lab to de-risk new technologies and scale up robust workflows for our high-throughput single-cell screening platform
• Plan, manage, and execute a large-scale target discovery initiative focused on high-throughput single-cell CRISPR screening in vitro (2D and 3D) and in vivo
• Manage multiple complex projects simultaneously, ensuring timely execution under tight deadlines
• Lead, mentor, and manage a dedicated team of scientists and senior research associates, fostering a culture of innovation, collaboration, and scientific rigor
• Spearhead the identification, evaluation, and implementation of cutting-edge technologies to enhance the speed, scale, and quality of our target discovery campaigns
• Drive the design, execution, and optimization of sophisticated screening assays and technology development projects that directly impact program objectives
• Develop and champion the strategic vision for technology innovation within our target discovery platform, staying current with rapidly evolving scientific fields and identifying, evaluating, and implementing new methodologies
• Oversee experimental design, protocol development, and resource allocation across the target discovery platform to ensure project milestones and scientific objectives are met
• Effectively analyze and present data, clearly communicating research plans, progress, and timelines to the team
• Present scientific findings, project updates, and strategic proposals to internal and external stakeholders, contributing to publications and intellectual property filings
• Collaborate closely with the CompBio team to build robust screening workflows, and maintain detailed, well-organized, and timely documentation of experiments and data

Qualification and Education Requirements

You must have:

• PhD, MD, or MD/PhD in genomics, biomedical engineering, molecular biology, or a related field, with training in high-throughput single-cell methodologies and next-generation sequencing
• 3–5+ years of relevant experience in academia, biotechnology, or the pharmaceutical industry
• Prior experience in a leadership or mentorship role, with a demonstrated ability to manage and develop Ph.D. level scientists effectively
• Proven record of delivering large, complex projects under tight deadlines in fast-paced, high-throughput environments
• Demonstrated hands-on expertise and a strong, proven track record in genome engineering, CRISPR screening design, and high-throughput single-cell functional genomics
• Deep expertise in molecular biology, biomedical engineering, high-content CRISPR screening, and single-cell genomics, supported by several years of academic or industry experience
• Extensive knowledge of NGS library preparation workflows and the computational aspects of multi-omic profiling
• Experience with a wide range of biological systems, including mammalian cell culture, primary cells, and complex cellular models (e.g., 3D organoid cultures and mouse models) relevant to biologics discovery
• Experience with—or strong enthusiasm for—working at the interface of biology and data science, with the ability to collaborate effectively with AI/ML and computational scientists
• Strong problem-solving abilities and an aptitude for innovation
• Ability to adapt quickly to shifting priorities while delivering high-quality, detail-oriented results on time
• A high degree of teamwork and a collaborative mindset, along with the ability to work independently

Additional preferred experience includes:

• Industry experience post-PhD is desirable
• Experience implementing process improvements and automation in production settings
• Willingness to quickly discover and learn new methods and approaches
• High motivation, with a strong work ethic and dedication to generating impact.
• Experience with computational data handling, processing, and analysis
• Long-term personal vision with defined career goals.
• Outstanding written and verbal communication skills

About Synaptrix Labs Inc.

Synaptrix is on a mission to revolutionize brain-computer interfaces through non-invasive approaches. We believe that the power to diagnose and treat neurological conditions safely, and to expand human potential, will become a reality with the right fusion of deep learning, signal processing, and computational neuroscience.

We’re seeking passionate, creative, and technically driven interns to join our team across multiple disciplines: Software Engineering, Hardware Engineering, Machine Learning Research, Industrial Design, and UI/UX Design. If you’re excited about building the future of brain-computer interfaces and want to work at the intersection of neuroscience, AI, and human experience, we want to hear from you.

Responsibilities:

Depending on your background and interests, you may:

• Contribute to development of real-time software systems for neural signal processing and data visualization.
• Build and prototype non-invasive EEG-based BCI hardware, from electrode arrays to embedded microcontroller systems.
• Design, train, and evaluate machine learning models for EEG/EMG decoding, denoising, and signal enhancement.
• Develop intuitive interfaces and user experiences for individuals with mobility or communication impairments.
• Collaborate with the design team to prototype wearable and ergonomic form factors for next-generation neurotech devices.
• Support data collection and analysis in research sessions, assisting with experimental setup and instrumentation.
• Participate in cross-functional design reviews and brainstorming sessions that bring together neuroscience, AI, and engineering.
• Contribute to internal documentation, test plans, and experimental logs for ongoing R&D projects.

Minimum Qualifications:

• Currently pursuing a Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Neuroscience, Mechanical/Industrial Design, or a related field.
• Demonstrated experience with one or more of the following:
  • Software: Python, C++, or JavaScript
  • Machine Learning: PyTorch, TensorFlow, or JAX
  • Hardware: Arduino, PCB design, or embedded systems
  • Design: Figma, Fusion 360, SolidWorks, or similar tools
• Strong problem-solving ability and curiosity about neuroscience, AI, or human-machine interfaces.
• Excellent communication and teamwork skills; thrives in a fast-paced, interdisciplinary environment.
• Availability for an internship in New York City.

Preferred Qualifications:

• Prior experience with EEG/EMG systems, biosignal acquisition, or data analysis.
• Familiarity with deep learning for time-series or multimodal data.
• Experience designing assistive devices, wearables, or medical technology.
• Portfolio, GitHub, or research projects demonstrating creative technical work.
• Interest in startups, prototyping, and early-stage innovation.

About our Culture:

At Synaptrix Labs, we celebrate curiosity, open collaboration, and scientific rigor. Our interdisciplinary team spans neuroscience, AI, and clinical research, and we are united by the belief that non-invasive BCI is the key to unlocking a new era in healthcare, accessibility, and human augmentation.

As an intern, you’ll work directly alongside engineers, researchers, and designers who are defining the next generation of brain-computer interfaces. You’ll be encouraged to explore bold ideas, experiment freely, and take ownership of meaningful projects from day one.

What We Offer:

• Hands-on experience in one of the world’s most exciting emerging fields: brain-computer interfaces
• Opportunity to contribute to technology that directly improves lives
• Mentorship from scientists, engineers, and founders building real neurotechnology products
• Dynamic NYC workspace blending lab, workshop, and creative studio environments
• Potential for full-time conversion after graduation