Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join our Team!

As an ML Engineer, you'll join some of the strongest infrastructure engineers in AI, building the systems that connect everything together. The infrastructure problems you solve directly determine what science becomes possible. 

What You'll Do

• Work with high-dimensional scientific data formats and contribute to backend compatibility, format evaluation, and I/O performance benchmarking at petabyte scale.
• Define and shape the engineering patterns your team and collaborating researchers will build on for years; the abstractions you write today become the foundation others depend on at scale.
• Work at the intersection of AI systems and biological discovery, where the infrastructure problems you solve directly determine what science becomes possible.
• Deploy models to production and manage artifact tracking across models and datasets.
• Design and optimize GPU-native data loading pipelines for large-scale multi-dimensional tensor workloads, including profiling and resolving hardware utilization bottlenecks across multi-backend systems.
• Work on simplification and improvement of codebase abstractions to accelerate research momentum.
• Build and maintain primitives for pre-training infrastructure that ensure the reliability and continuity of large-scale training runs.
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring.
• Possesses the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training.
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive. This includes tasks like cluster monitoring, unit testing and integration testing of research codebase, and continuous integration.
• Collaborate with partner researchers and engineers to deploy our technology within external infrastructure.

What You'll Bring

• Hands-on experience with PyTorch, including custom training loops, distributed training, or low-level performance work.
• Familiarity with GPU-native data I/O tools and large-scale tensor formats (e.g. Zarr, HDF5, TensorStore, or similar).
• Experience with distributed computing frameworks such as Apache Spark, Dask, or Ray.
• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.
• Experience building or working with AI agent frameworks is a plus.
• A track record of building systems that other engineers and researchers depend on. Not just running experiments, but shipping infrastructure that scales.

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $150,000 to $350,000+ annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

The Team

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

Our Vision

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

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

The Opportunity

We are seeking an R&D Engineer to support the deployment, operation, and continuous improvement of an advanced automated laboratory platform. This role is responsible for ensuring reliable execution of complex workflows through the integration of robotics, instrumentation, and control systems.

You will play a key role in building and maintaining the infrastructure that enables scalable and efficient experimental operations.

What You'll Do

• Develop scalable, modular automation architectures to support evolving experimental needs across multiple hardware platforms
• Partner with computational teams to enable closed-loop / data-driven experimentation
• Evaluate and support installation, configuration, and integration of laboratory automation systems and instrumentation
• Optimize high-throughput experimental pipelines
• Program and coordinate robotic systems and instrument control software
• Perform routine maintenance, calibration, and validation of equipment
• Implement real-time monitoring and logging systems for workflow performance and data quality
• Monitor system reliability and implement improvements to increase efficiency and uptime
• Troubleshoot hardware and workflow issues to ensure consistent system performance
• Collaborate with scientific teams to translate experimental needs into automated processes
• Provide technical support and training to users of the platform

What You'll Bring

• BS or MS in Mechanical Engineering, Electrical Engineering, Bioengineering, Robotics, or a related field
• Hands-on experience with laboratory automation systems, robotics, or complex instrumentation
• Experience with hardware integration and control systems
• Programming or scripting experience (e.g., Python or vendor-specific platforms)
• Strong troubleshooting skills and attention to detail
• Ability to manage and maintain complex systems in a dynamic environment
• Effective communication skills and a collaborative mindset
• Strong problem-solving skills and a systems-level mindset
• Interest in data-driven experimentation and automated platforms

Compensation

The Chicago, IL base pay range for a new hire in this role is $130,000 - $138,550. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Onsite

The Team

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

The Opportunity

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

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

What You'll Do

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

What You'll Bring

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

Compensation

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

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Onsite

The Team

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

Our Vision

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

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

The Opportunity

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

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

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

What You'll Do

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

What You'll Bring

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

Compensation

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

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Onsite

The Team

Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation — which underlies the most significant causes of death worldwide — first flares in the body. You can learn more about our work here. 

Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs.

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

Biohub is seeking a Research Associate to join the Cell Decoder team within the Virtual Immune System initiative. This is a hands-on bench role centered on molecular biology, cell engineering, and genomics workflows, including bacterial and mammalian cell culture, plasmid cloning, lentiviral production, library preparation, and flow cytometry. You'll execute and optimize experiments that feed directly into a screening platform designed to map immune antigens in inflammation.

This position is ideal for someone who thrives on bench work, takes pride in reliable execution, and actively looks for ways to make things run better. That could mean optimizing a viral production protocol, reorganizing a reagent inventory system, or finding a more efficient way to coordinate a multi-day, multi-step experiment. You won't just follow protocols; you'll help build and refine them. You'll join a small, experienced team with direct mentorship and exposure to how AI/ML and computational approaches are shaping experimental immunology.

What You'll Do

• Perform molecular biology workflows including bacterial culture, plasmid cloning, mini/midi preps, and construct verification to generate reagents for cell engineering experiments.
• Maintain mammalian cell lines (Jurkat, 293T, K562) including passaging, selection, and banking — serving as a reliable backbone for ongoing assay development.
• Produce and package lentiviral vectors, troubleshoot viral production workflows, and execute transduction experiments.
• Execute single-cell genomics and sequencing workflows, including 10x Genomics library preparation and next-generation sequencing library QC.
• Perform flow cytometry experiments for immune cell phenotyping and functional assays.
• Design, optimize, and troubleshoot experimental protocols and SOPs, proactively identifying bottlenecks and opportunities to improve throughput, reliability, or efficiency.
• Maintain rigorous documentation of protocols, experimental conditions, results, and reagent inventory and take ownership of lab operations logistics including ordering and cataloging.

What You'll Bring

• Master's degree in biology, immunology, molecular biology, or a related field with 2-4 years of hands-on research experience, or a Bachelor's with equivalent additional experience.
• Proficiency in core molecular biology and cell engineering workflows, including bacterial culture, plasmid cloning, mammalian cell line maintenance, and lentiviral production, with the ability to troubleshoot
• Experience with flow cytometry, including sample preparation and instrument operation.
• Strong organizational skills and attention to detail across multi-step, multi-day experimental workflows — including documentation, reagent management, and coordination.
• A proactive, ownership-oriented approach — you identify bottlenecks, propose solutions, and communicate clearly in a collaborative, cross-functional environment.
• Nice to have:
  • Experience with next-generation sequencing library preparation or single-cell genomics platforms (particularly 10x Genomics).
  • Familiarity with T cell biology, TCR biology, or high-throughput screening assays.
  • Basic programming skills (Python and/or R) for data processing and QC.

Compensation

The Chicago, IL base pay range for a new hire in this role is $70,000 - $73,950. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Onsite

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join Our Team!

As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.

What You'll Do

• Build on and advance the AI systems at the frontier of biology to accelerate science
• Design novel model architectures and scale pre-training pipelines for our biology foundation models.
• Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
• Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
• Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

What You'll Bring

• PhD in computer science or a related field, or equivalent experience
• Significant experience building and scaling deep learning systems, ideally in research-driven environments
• Strong engineering and scientific fundamentals
• Comfort with ambiguity, rapid iteration, and loosely-defined research problems
• Strong communication skills across technical and scientific audiences

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid 

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join Our Team!

As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.

What You'll Do

• Build on and advance the AI systems at the frontier of biology to accelerate science
• Design novel model architectures and scale pre-training pipelines for our biology foundation models.
• Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
• Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
• Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

What You'll Bring

• Significant experience building and scaling deep learning systems, ideally in research-driven environments
• Strong engineering and scientific fundamentals
• Comfort with ambiguity, rapid iteration, and loosely-defined research problems
• Strong communication skills across technical and scientific audiences

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

The Team

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

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

The Opportunity

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

The role is part of the Data team, which is responsible for maximizing the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems. The data that trains biological frontier models comes in dozens of modalities (sequences, images, spatial coordinates, time series, molecular structures, metadata, publication artifacts, …) each with its own noise characteristics, biases, and information content. The question of how AI can reason across these diverse descriptions of biology to answer specific experimental questions is one of the core challenges in biology.

You will define the data approach to train our reasoning system. To do so, you will operate with broad scope and high autonomy, influencing roadmap decisions across teams while mentoring individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health. We're looking for data scientists who can work at this frontier: people who understand scientific experimentation deeply, think creatively about data representations and tokenization strategies, and have experience building reasoning systems. You'll work directly with experimental and computational scientists, data scientists and AI researchers to define what the models see and how they see it, and data engineers to make this work at scale. This is a role for someone who wants to invent the methods that make biological frontier models possible.

What You'll Do

• Design reasoning tasks for our models.
• Build training datasets that capture biology experiments, including experimental design, hypothesis generation, evidence interpretation, and scientific inference
• Design training strategies that teach reasoning capabilities, working closely with AI Research to translate data approaches into model behavior
• Create evaluation and benchmarking frameworks that measure reasoning quality and analyze model behavior to influence the next set of evaluations, environments, and data.
• Partner with Scientific Data Strategy and Data Engineering to identify and acquire source materials (literature, protocols, experimental records) that contain reasoning signal
• Set technical direction for reasoning data efforts, influencing priorities and mentoring other data scientists working in this area

What You'll Bring

• PhD in machine learning, computational biology, or another quantitative field
• Hands on understanding of how scientists reason across diverse experimental systems as obtained from hands-on experience with laboratory science in biology, biochemistry, or chemistry
• Experience curating or creating training data and tokenization strategies for reasoning models (RLVR, synthetic reasoning traces, RL with Tool Use)
• Track record of novel methodological contributions (publications, open-source tools, or production systems)
• Familiarity with evaluation methodology for complex, open-ended tasks where ground truth is ambiguous
• Strong computational skills (Python, data processing at scale); ability to work with large text corpora and structured data
• Creative, first-principles thinking about how to structure data for learning

Compensation

The Redwood City, CA & New York City, NY base pay range for a new hire in this role is $214,000 - $268,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid 

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join Our Team!

As a Research Engineer, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.

What You'll Do

• Build on and advance the AI systems at the frontier of biology to accelerate science
• Design novel model architectures and scale pre-training pipelines for our biology foundation models.
• Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
• Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
• Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

What You'll Bring

• Significant experience building and scaling deep learning systems, ideally in research-driven environments
• Strong engineering and scientific fundamentals
• Comfort with ambiguity, rapid iteration, and loosely-defined research problems
• Strong communication skills across technical and scientific audiences

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid

Biohub operates one of the largest AI compute clusters dedicated to biology, spanning three frontier research institutes with some of the world's leading biologists. We're not a startup trying to find product-market fit, and we're not a pharma company optimizing a pipeline. We're building frontier AI for fundamental science, as open science, at a scale no one else is doing. This is a unique moment for scientific acceleration. The problems are among the hardest and most impactful problems you can choose to work on, and we move at a pace that meets this moment. 

Our research spans:

• Frontier molecular modeling, from protein language models (e.g., ESM) to structure prediction (e.g., ESMFold) and beyond. 
• Scaled biological foundation models trained on some of the largest GPU clusters dedicated to science
• Imaging foundation models trained across the world's largest microscopy datasets
• Reasoning and agentic systems that connect frontier LLMs with biological foundation models
• Mechanistic interpretability of biological foundation models: extracting new biological knowledge directly from model weights
• Scientific data at unprecedented scale: AI systems to collect, curate, and learn from some of the richest biological datasets ever assembled

Join Our Team!

As a Research Scientist, you'll build the models and systems that define what AI can do in biology: foundation models, reasoning, reinforcement learning, and multi-agent systems at frontier scale.

What You'll Do

• Build on and advance the AI systems at the frontier of biology to accelerate science
• Design novel model architectures and scale pre-training pipelines for our biology foundation models.
• Build post-training systems that drive biological discovery: RL, reward modeling, reasoning, and multi-agent orchestration for long-horizon scientific tasks.
• Design evaluation frameworks and AI systems with scientists across Biohub and beyond, grounded in real biological outcomes and real world impact.
• Engage the wider scientific community through impactful publications, open-source releases, and collaborations worldwide.

What You'll Bring

• PhD in computer science or a related field, or equivalent experience
• Significant experience building and scaling deep learning systems, ideally in research-driven environments
• Strong engineering and scientific fundamentals
• Comfort with ambiguity, rapid iteration, and loosely-defined research problems
• Strong communication skills across technical and scientific audiences

Compensation

The future anticipated Redwood City, CA, and New York City, NY base pay range for a role in this field is $214,000 to $375,000 annually. Final compensation is based on the level at which you are hired. 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

Please note that applying to this opportunity does not guarantee that we will be in touch with you regarding our opportunities. Our recruiting team will contact you if your experience aligns with the skills we seek for future open positions. We will keep your interest on file, contact you as opportunities arise, and send you information about the exciting work we are doing at Biohub. You can opt out at any time! 

#LI-Hybrid 

The Team

The Opportunity

As the Head of Engineering for the AI Products group, you would lead a team of highly motivated and talented software engineers to build tools and products that accelerate the processing and interpretation of biological data and cutting-edge foundation models in biology.

The team will tackle ambitious technical challenges — running model inference at scale; interpreting and visualizing multi-dimensional, high-resolution images and videos of cells; and processing and visualizing protein datasets containing over 1 billion proteins. Working closely with Product Managers, Product Designers, and Product Marketers, the team’s work will power the next generation of products that accelerate the analysis and interpretation of complex biological data using cutting-edge foundation models.

This is an opportunity to shape the future of AI-driven biology while leading a team that turns breakthrough research into impactful, real-world solutions.

What You'll Do

• Lead an engineering team focused on building reliable, scalable, extensible software products.
• Work cross-functionally with internal and external partners to develop and deliver on the roadmap, and to shape the long-term strategy for how AI Products drive our scientific impact ambitions.
• Participate in and encourage Agile software development practices to deliver frequent value to our users and enable continuous feedback loops.
• Set the technical direction, guide the team’s technical decisions, and ensure that best practices are consistently followed.
• Ensure high quality in the work we deliver and serve as a hands-on manager to the team.
• Provide mentorship and career development support to direct reports.
• Hire and onboard engineers to fill resource gaps while building out a diverse team.

What You'll Bring

• 8+ years of experience in Software Engineering, including 4+ years of engineering leadership as a people manager.
• Proven track of building and delivering high-impact products on top of AI models in complex, data-driven domains.
• Deep technical expertise with the ability to translate complex theory into practical, scalable solutions—driving research, rigorous analysis, clear conclusions, and decisive execution.
• Extensive experience hiring, managing, and developing high-performing engineering teams while cultivating a culture of excellence, ownership, and impact.
• Strong cross-functional collaborator, partnering with interdisciplinary stakeholders to define product strategy, shape requirements, and deliver robust software solutions.
• Influential and empathetic leader who provides clear, direct guidance, inspires collaboration, and consistently coaches engineers to accelerate their technical growth and career progression.
• Active contributor to architectural strategy and technical design decisions, elevating engineering standards and long-term system quality.

Compensation

The future anticipated Redwood City, CA base pay range for a role in this field is $241,000–$338,000 annually. Compensation ranges will vary based on job-related skills, level of experience, and knowledge. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process.

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid

The Team

Biohub is leading the new era of AI-powered biology to cure or prevent disease through its 501c3 medical research organization, with the support of the Chan Zuckerberg Initiative.

Within Biohub, Bioengineering is a team of engineers with a diverse set of skills, including electronics, optics, imaging, automation, mechatronics, fluidics, software development, etc. We design and build custom instrumentation and automation systems to support the Biohub’s scientific mission.

The Opportunity

We are seeking an experienced Lab Automation Applications Engineer to design, develop, and maintain automated protocols that support cell biology research programs. This role is ideal for an automation professional who can independently lead protocol development projects, optimize workflows, and serve as a technical resource for researchers. You will work closely with research scientists, hardware and software engineers, data scientists, laboratory staff, and facility managers to develop automation protocols that enhance throughput, reproducibility, and data quality. In this role, you will take ownership of end-to-end automation protocols, from initial method development through validation, production deployment, quality control and performance monitoring. You will also help drive continuous improvement of our automation capabilities.

What You'll Do

• Lead the design, development, testing, and validation of automated protocols for cell biology (including multi-day cell culture and passaging), cell imaging, and molecular biology.
• Independently program and optimize methods on Hamilton STAR/Vantage platforms using VENUS software, and other platforms, such as Opentrons and Agilent Bravos.
• Partner with research scientists and technology teams to scope automation protocols, define requirements, and deliver solutions that meet scientific and throughput goals.
• Develop and maintain robust quality control processes for automated workflows, including run validation, error handling, and performance monitoring.
• Create and maintain comprehensive documentation including method specifications, SOPs, validation reports, and training materials.
• Troubleshoot and resolve, in collaboration with hardware and software engineers and/or scientists, complex hardware, software, and method issues.
• Manage vendor relationships for maintenance and support.
• Mentor junior automation engineers and contribute to the team's technical growth and best practices.
• Identify and implement process improvements that increase throughput, reliability, and data quality across the automation platform.

What You'll Bring

Essential

• Bachelor's degree in Engineering, Biology, Biochemistry, or related field.
• 5+ years of hands-on experience with laboratory automation in a biology research or industrial biotech environment.
• Demonstrated expertise programming and running automated liquid handling systems. Experience with Hamilton STAR and Vantage liquid handlers and the VENUS software are a big plus.
• Experience with robotic arms, robot programming, PLC systems, or motion control
• Experience integrating liquid handlers with peripheral lab instruments and scheduling systems.
• Proficiency in Python or another scripting language for automation support, data analysis, or custom tooling.
• Strong understanding of molecular biology, biochemistry, and cell biology laboratory techniques.
• Demonstrated ability to independently manage projects from concept through deployment.
• Demonstrated experience with proper documentation of protocols and operating procedures, performance/quality control metrics, etc.
• Commitment to reproducible research practices and rigorous documentation
• Demonstrated ability to think creatively and work independently.
• Excellent problem-solving skills and the ability to quickly adapt to new technological challenges and troubleshoot complex technical problems.
• Eager to learn new methods, protocols and technologies.
• Strong communication and interpersonal skills.
• Highly collaborative spirit and strong teamwork skills.

Nice to Have

• Experience with live cell imaging
• Experience with laboratory data management systems (e.g., LIMS, ELN)
• Knowledge of data analysis, statistical methods, and workflow management software

Compensation

The San Francisco, CA base pay range for a new hire in this role is $190,000.00 - $261,800.00. 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. 

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid

The Team

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 Laboratory of Immunogenomics at CZ Biohub NY (www.mahatlab.com) studies the non-coding regulatory genome to understand and address immune dysfunction in diseases like cancer, autoimmune disorders, and aging. We focus on enhancers—non-coding, highly cell–type–specific transcriptional regulatory elements—and their role in shaping immune responses.

We develop and utilize genomic technologies, including bulk and single-cell nascent RNA sequencing, genome editing, immune engineering, and CRISPR-based functional screens in patient biopsies, organoid systems, and mouse models. Through computational analysis integrating machine learning and AI, we map enhancer–gene networks and identify disease-driving elements. Our goal is to advanc

The Opportunity

We seek a Postdoctoral Fellow to investigate how transcription factors regulate gene expression programs in cancer and how disease-associated mutations in transcription factors disrupt these programs to drive malignant phenotypes. Many cancer-linked alterations affect transcription factor binding, chromatin engagement, and transcriptional output, yet the downstream regulatory mechanisms and disease consequences remain incompletely understood. This project aims to define the molecular functions of transcription factors in normal and diseased states, map how mutations alter chromatin and transcriptional regulation, and utilize machine learning to predict and test novel mutant-TF-specific functions.

What You'll Do

Transcription Factor Mechanism Discovery

-   Define how transcription factors control gene expression, chromatin accessibility, and regulatory element activity in cancer-relevant cellular contexts.

-   Map transcription factor occupancy, chromatin state, and nascent transcription using GRO-seq/ PRO-seq, CUT&RUN, ATAC-seq, DNA methylation profiling.

-   Integrate transcription factor binding data with enhancer activity, promoter usage, and transcriptional outputs to identify direct regulatory targets and core gene networks.

-   Apply CRISPR editing to test candidate genes, regulatory elements, and pathways.

Mutation-Driven Regulatory Analysis

-   Determine how cancer-associated mutations in transcription factors alter DNA binding, cofactor recruitment, chromatin remodeling, and transcriptional control.

-   Compare wild-type and mutant transcription factor function across genomic, epigenomic, and transcriptional assays to identify mutation-specific regulatory defects.

-   Characterize the mutated-TF-associated co-factors, transcription factor, chromatin remodeling through protein-protein interactions.

-   Dissect how these changes impact oncogenic pathways, lineage identity, cellular plasticity, and disease progression.

AI/ML-Guided Functional Discovery

-   Collaborate closely with AI/ML scientists to apply protein language models and related computational approaches to transcription factors and their disease-associated variants.

-   Use these models to predict potential novel molecular functions, protein-protein interaction partners, and mutation-associated cellular phenotypes.

-   Design and execute experimental strategies to test model-derived predictions in laboratory settings, using genomic, molecular, and functional assays to validate predicted mechanisms and disease-relevant consequences.

-   Help establish an iterative framework in which computational predictions inform experiments, and experimental results refine downstream modeling and hypothesis generation.

Genomic Library Preparation

-   Lead and optimize genomic library preparation workflows for chromatin and transcription-focused assays, with strong emphasis on GRO-seq/PRO-seq, CUT&RUN, ATAC-seq, DNA methylation assays, and RNA-seq.

-   Generate high-quality sequencing libraries from cell lines, engineered models, and primary samples, ensuring rigorous experimental design, QC, and reproducibility.

-   Support comparative profiling across perturbation conditions, mutant backgrounds, and treatment states to reveal context-specific transcription factor biology.

Molecular and Cell Biology Validation

-   Perform core molecular biology methods, including tissue culture, organoid and patient sample processing, ChIP, gel electrophoresis, cloning, FACS, and ELISA etc., to validate mechanistic hypotheses.

-   Use genome engineering and perturbation approaches, including CRISPR-based editing and CRISPR screening, to test the functional consequences of transcription factor mutations and candidate regulatory dependencies.

-   Validate key findings through orthogonal assays in relevant cellular models.

Pathway Integration and Disease Modeling

-   Identify critical downstream effectors, co-factors, and candidate therapeutic vulnerabilities emerging from mutant transcription factor activity.

-   Contribute to the development of mechanistic frameworks explaining how transcription factor dysfunction gives rise to disease.

What You'll Bring

Essential 

• PhD in Molecular Biology, Cancer Biology, Genetics, Genomics, or a related field.
  Strong hands-on experience in genomic library preparation, particularly for chromatin and transcription-focused assays such as GRO-seq/PRO-seq, CUT&RUN, ATAC-seq, DNA methylation profiling.
• Expertise in basic molecular biology techniques, mammalian cell culture, engineered cell models, and/or primary samples.
• Experience with functional perturbation methods such as CRISPR editing, CRISPR screening, or other genetic manipulation approaches.
• Demonstrated work and publication in transcription factor biology, gene regulation, epigenomics, or cancer mechanisms, reflecting independent experimental work and mechanistic biological insight.

Preferred

• Familiarity with computational biology methods and genomic data analyses.
• Experience studying transcription factors, chromatin regulators, or gene regulatory mechanisms in cancer or other disease contexts.
• Familiarity with comparing wild-type and mutant protein function using genomic and molecular assays.
• Interest in collaborative, interdisciplinary research at the interface of transcription, epigenetics, and disease biology.

Compensation

The New York, NY base pay for a new hire in this role is Postdoctoral Fellow = $93,000.00. 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.

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

Through our multi-dimensional imaging program, we build imaging tools that capture life across scales — from single proteins to whole organisms — revealing how proteins and cells function, communicate, and assemble into living systems. These observations are laying the groundwork for a new generation of AI models that can predict cellular behavior and guide the development of better treatments for widespread diseases. You can learn more about our work here.

Our work brings together three powerhouse universities - Stanford, UC Berkeley, and UC San Francisco - 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

Within Biohub, Bioengineering is a team of engineers with a diverse set of skills, including electronics, optics, imaging, automation, mechatronics, fluidics, software development, etc. We design and build custom instrumentation and automation systems to support the Biohub’s scientific mission.

We are seeking an experienced optical engineer to help push the boundaries of advanced light sheet microscopy for imaging cells. The successful candidate will design, build and maintain advanced light-sheet microscopes, and partner with hardware & software engineers, data scientists, and biologists to improve our imaging systems and pipelines.

What You'll Do

• Execute or potentially lead experimental optical projects from concept to prototype
• Collaborate with scientists, engineers, and external partners to develop innovative optical solutions for imaging challenges 
• Design and build custom optical systems, components, and experimental setups tailored for specific research applications 
• Alone, or in collaboration with other engineers and scientists, design, assemble and build novel, advanced light-sheet optical microscopes, or sub-modules for such microscopes, from off-the-shelf or custom-designed optical/mechanical/electrical components 
• Conduct proof-of-principle imaging experiments to evaluate microscope performance and design ideas 
• In collaboration with application engineers, software engineers and scientists, automate microscope control and data acquisition pipelines 
• In collaboration with automation engineers, software engineers and scientists, integrate custom microscopes and optical systems into automated experimentation systems
• Maintain, troubleshoot, upgrade and optimize the performance of existing custom-built microscopes and other optical systems in the lab 
• Maintain accurate documentation of microscope hardware designs and standard operating procedures 
• Train users to operate custom microscopes, and collaborate with biologists in conducting imaging experiments with them 
• Explore novel imaging techniques and technologies 
• Stay abreast of the latest advancements in optics and imaging technologies, identifying opportunities for novel applications within our research objectives 
• Work with external partners and suppliers on the design, fabrication, and testing of custom optical parts, modules and systems

What You'll Bring

Essential

• Ph.D. degree, or B.Sc. degree plus equivalent experience, in Optical Engineering, Electrical Engineering, Applied Physics, Physics, or related field 
• Minimum of 6 years of post-B.Sc. hands-on engineering experience 
• Minimum of 3 years of hands-on experience in designing, building and aligning optical imaging and/or microscopy systems 
• Deep understanding of geometric optics, physical optics, Fourier optics and imaging theory 
• Deep understanding of the principles and technologies related to imaging devices & cameras, microscopy, and spectroscopy 
• Hands-on experience in fluorescence microscopy (ideally light-sheet microscopy) 
• Proficient in common optical/electrical test and measurement tools 
• Proficient in using Python for data/image analysis and instrumentation control 
• Demonstrated ability to think creatively and work independently on unconventional and high-risk technical projects. 
• Excellent problem-solving skills and the ability to quickly adapt to new technological challenges 
• Eager to learn new methods, protocols and technologies 
• Strong communication and interpersonal skills. 
• Highly collaborative spirit and strong teamwork skills  

Nice to Have

• Experience with optical design and simulation software (eg. Zemax, Code V) 
• Experience with CAD design software (eg., Onshape, Solidworks) 
• Experience with live cell imaging 
• Experience designing electronic circuits 
• Co-authorship in preprints or peer-reviewed publications  

Compensation

The San Francisco, CA base pay range for a new hire in this role is $190,000.00 - $261,800.00. 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. 

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.

Benefits for the Whole You 

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

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

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

#LI-Onsite

The Team

The AI Cluster Production Engineering team is part of the AI Compute Platform organization at Biohub, a non-profit research lab committed to open science and open-source AI. We own the design, operation, and reliability of large-scale multi-GPU AI clusters that power frontier AI biology research: protein language models, genomic foundation models, and scientific reasoning systems built to be shared, not monetized. Our clusters run Slurm on Kubernetes infrastructure and support everything from day-to-day AI researcher workflows to multi-node hero training runs at thousands of GPUs. The team works at the intersection of AI tooling, distributed systems, HPC, and frontier AI, debugging deep AI infrastructure problems and building AI systems critical to the entire AI organization.

The Opportunity

CZ Biohub's mission is to cure or prevent all human disease. Achieving that requires training frontier-scale AI biology models, and that demands reliable, high-performance compute infrastructure. This is production engineering work at a frontier AI lab, with the twist that the mission is biology and the science is open. You'll keep GPU clusters running at high utilization, debug the toughest distributed systems failures, and build the operational foundations for scaling to multi-thousand GPU hero runs.  The technical problems are genuinely hard (e.g., multi-node distributed training, InfiniBand fabrics, large-scale storage, Slurm at scale) inside an organization where the work is aimed at helping people, not optimizing ad revenue.

What You'll Do

• Own reliability, observability, and incident response for multi-site GPU clusters running Slurm on Kubernetes. Build the systems, automation, and processes that keep clusters healthy,  and that enable fast, efficient recovery when things break.
• Debug and resolve deep infrastructure failures across storage, networking, scheduling, and GPU compute layers. Build the tooling and operational patterns that make these failures easier to detect, diagnose, and prevent.
• Design and execute GPU cluster scaling plans, systematically validating storage, networking, interconnect, and scheduler behavior as clusters grow to support larger training runs.
• Build automation and tooling to manage cluster operations at scale: capacity planning, GPU utilization monitoring workload manager policy management, and pod lifecycle automation.
• Drive configuration-as-code practices, ensuring cluster state is reproducible and auditable, and managed through version-controlled pipelines.
• Collaborate directly with AI researchers and hero run leads to understand training workload patterns and design infrastructure that meets frontier-scale requirements.
• Own the vendor relationship on technical issues — escalating SEV1s, coordinating across multiple partners and network backbone teams, holding them accountable to root/proximate cause analysis and SLAs.
• Contribute to capacity planning: projecting GPU demand, managing cluster expansion across GPU generations, and coordinating multi-cluster strategy.
• Improve operational resilience, reducing mean time to detect and resolve incidents, reducing toil through automation, and developing runbooks that scale the team's operational knowledge beyond any individual.

What You'll Bring

• 8+ years of AI/ML infrastructure engineering experience, with deep expertise in at least one of: HPC/Slurm cluster operations, Kubernetes at scale, distributed systems debugging, or GPU compute infrastructure.
• Strong Linux systems fundamentals — networking (TCP/IP, InfiniBand, RDMA, MTU/MSS/PMTUD), storage (NFS, VAST, WEKA, POSIX semantics), kernel internals (cgroups, namespaces, eBPF, sysctls).
• Hands-on experience with Kubernetes and cloud-native infrastructure — pod lifecycle, CNI plugins (Cilium preferred), StatefulSets, Helm, ArgoCD, or equivalent GitOps tooling.
• Experience with HPC workload managers — Slurm strongly preferred (QoS, partitions, preemption, accounting, Sunk/CoreWeave patterns a plus).
• Debugging instinct: ability to form hypotheses quickly, design controlled experiments, and root cause complex multi-system failures under pressure. You enjoy finding the hard bugs.
• Proficiency in Python and Bash for automation and tooling. Go, Rust, or C/C++ a plus.
• Experience with observability stacks — Prometheus/VictoriaMetrics, Grafana, DCGM metrics, distributed tracing. You know how to instrument systems you don't control.
• Excellent communication — you can write a crisp incident summary for researchers, a technical escalation to a vendor CTO, and a system design doc for teammates, all in the same day.
• Bonus: experience with distributed AI training infrastructure (NCCL, PyTorch DDP, multi-node job debugging, checkpoint/restart patterns, container environments for large-scale training).

Compensation

The Redwood City, CA base pay range for a new hire in this role is $241,000 - $331,000. 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. 

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid 

The Team

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

Our Vision

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

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

The Opportunity

Biohub Chicago seeks outstanding early-career scientists and engineers to join its Quantitative Live Tissue Transcriptomics platform as a Postdoctoral Research Scholar in longitudinal and single-cell profiling. This role offers a unique opportunity to work hands-on in a generously funded, highly collaborative environment at the intersection of technology development, biology, and disease-focused discovery.

Postdoctoral Research Scholars will be embedded in interdisciplinary teams developing and applying next-generation transcriptomic workflows for non-destructive, time-resolved measurements from living cells and tissues. A central focus of this role is understanding how dynamic gene expression and cell-to-cell transcriptional heterogeneity shape the behavior of immune-competent organoid and ex vivo systems. The successful candidate will leverage emerging live-sampling technologies to interrogate cellular dynamics, immune–tissue interactions, and emergent phenotypes that are inaccessible with static, endpoint approaches.

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

What You'll Do

• Design and execute longitudinal transcriptomics experiments to investigate dynamic gene expression and transcriptional heterogeneity in immune-competent organoid systems.
• Develop, optimize, and apply advanced RNA profiling workflows for non-destructive, time-resolved sampling from living cells and tissues, including method development, benchmarking, and quality control.
• Collaborate closely with interdisciplinary teams spanning tissue engineering, immunology, computation, and instrumentation to build and interrogate increasingly complex immune-organoid models.
• Analyze and interpret large-scale transcriptomics and lineage barcoding datasets using state-of-the-art computational pipelines, and communicate results clearly through figures, presentations, and internal discussions.
• Disseminate research outputs through high-impact publications, preprints, and open scientific resources, contributing to a culture of open and collaborative science.

What You'll Bring

• PhD in genomics, bioengineering, quantitative biology, systems immunology, computational biology, or a related quantitative life-science field.
• Experience with quantitative molecular and cell biology techniques and high-throughput profiling.
• Demonstrated expertise in quantitative interpretation of complex, high-dimensional datasets.
• Strong record of scientific productivity, creativity, and collaborative problem-solving in interdisciplinary research environments.
• Motivation to pursue innovative, independent research aligned with the Biohub’s mission and to thrive in a hands-on, team-science culture.
• [Nice to have] Experience with sequencing platforms and transcriptomics workflows (e.g., RNA-seq, single-cell RNA-seq, or spatial transcriptomics).
• [Nice to have] Experience with RNA engineering, molecular barcoding, or novel nucleic acid technologies.
• [Nice to have] Background in immune cell biology, immune–tissue interactions, or organoid model systems.

Compensation

The Chicago, IL base pay for a new hire in this role is $84,150. 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

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

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

The Opportunity

The Data Engineering and Infrastructure team brings AI/ML technology and Data to the table in new ways to help drive AI powered solutions that accelerate Biomedical research. We are uniquely positioned to design, build, and scale software systems to help scientists better address the myriad challenges they face. We are supporting researchers and scientists around the world by developing the capacity to apply state-of-the-art methods in artificial intelligence and machine learning to solve important problems in the biomedical sciences.

This team works on building shared tools and platforms to be used across Biohub, partnering and supporting the work of an extensive group of Research Scientists, Data Scientists, AI Research Scientists, and Computational Biologists. Members of the shared infrastructure engineering team have an impact on all of Biohub’s initiatives by enabling the technology solutions used by other engineering teams to build a frontier model and scale the feedback loop.

What You'll Do

• Develop and maintain the tooling and infrastructure that drives the entire data lifecycle at Biohub, from ingestion and processing to secure storage and access. Your work will directly support cutting-edge research, AI model training, and data analysis across the organization.
• Partner with researchers and engineers across various domains, including genetics, imaging, and scientific literature. You'll work on various use cases, from web analytics to complex model training, ensuring data accessibility and performance for teams across CZI.
• Design and implement flexible, scalable, and performant systems to address our stakeholders’ needs, leveraging technologies like Argo Workflows, Slurm, Ray, AWS Parallel Cluster for mass-scale job processing and orchestration; Vast Data, Delta Lake, Databricks and Apache Iceberg for data management and access; and cloud and on-prem HPC resources

What You'll Bring

• Education & Experience: BS, MS, or PhD in Computer Science or a related technical discipline, or equivalent experience. 8+ years of hands-on coding experience in scripting (Python, PHP, Ruby) and systems languages (Rust, C++, C#, Go, Java, or Scala).
• Data Platform Expertise: Proficiency in managing large-scale data operations, including designing scalable pipelines (streaming and batch), working with varied data types, and optimizing flexible storage solutions using tools like Argo Workflows, Databricks, Slurm, etc.
• Data Management and Development Operations: Experience with data governance, metadata, and data lineage tooling like Open Lineage or Marquez. Deep experience working with building CI/CD pipelines for data infrastructure and associated observability and monitoring tooling such as Prometheus, Grafana, OpenTelemetry, Prometheus, or Honeycomb
• Supporting Complex Data and AI ML Workflows: Experience with addressing end to end data needs for working with complex data and delivering this data ready form model training, working directly with AI Researchers and AI Engineers as part of AI model training project teams. Knowledge of data pipelines that feed Deep Learning model training that makes use of accelerated computing systems (GPUs as well as ASICs, FPGAs, TPUs)
• Containerization: Extensive experience with scaling containerized applications on Kubernetes or Mesos, with a focus on secure custom containers, replicability and portability.
• Cloud & Infrastructure: Strong experience with AWS, GCP, or Azure. Exposure to hybrid environments with on-prem and colocation systems is a plus. Familiarity with Infrastructure as Code (e.g., Terraform, Ansible) and monitoring tools (Datadog, Prometheus).
• Collaboration & Problem Solving: Proven ability to work with diverse, cross-functional stakeholders and teams to navigate complex technical challenges, adapt to evolving requirements, and drive impactful solutions.

Compensation

The Redwood City, CA base pay range for a new hire in this role is $214,000 - $295,000. New hires are typically hired into the lower portion of the range, enabling employee growth in the range over time. Actual placement in range is based on job-related skills and experience, as evaluated throughout the interview process. 

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid 

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

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

Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation — which underlies the most significant causes of death worldwide — first flares in the body. You can learn more about our work here. 

Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs.

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

Biohub seeks a Director of Engineering to build, scale, and automate next-generation molecular measurement technologies.  This role will lead the design and deployment of integrated automation systems that enable high-throughput, high-content, and reproducible experimentation across functional genomics, multi-omics profiling, and advanced cellular systems, including organoids and complex co-culture models.

The Director of Engineering will translate cutting-edge biological objectives into robust, scalable, and automated laboratory infrastructure. The ideal candidate brings deep industry experience building and operating life science technology platforms, particularly in proteomics, functional genomics, transcriptomics, imaging-based assays, and/or organoid systems—combined with strong expertise in robotics, automation engineering, and instrument integration.

This leader will architect platforms that move beyond commoditized automation toward flexible, adaptive systems capable of executing complex biological protocols at scale, with tight integration between experimental workflows, data systems, and computational analysis pipelines.

What You'll Do

Automation, Robotics, Instrumentation

• Lead the development and integration of advanced robotic systems for liquid handling, organoid handling, environmental control, and assay execution.
• Oversee integration of molecular measurement technologies (e.g., spatial omics, proteomics, high-content imaging) directly into automated pipelines.
• Develop custom hardware, fixtures, and accessories where commercial solutions are insufficient.
• Ensure seamless integration between robotic systems, LIMS, data pipelines, and downstream analysis infrastructure.

Industry & Ecosystem Leadership

• Leverage deep industry knowledge to evaluate and implement best-in-class
• commercial instrumentation, robotics platforms, and automation software.
• Build and manage strategic relationships with automation vendors, instrument
• manufacturers, and contract engineering partners.
• Conduct rigorous technical diligence of vendors and outsourced development
• partners.
• Define clear technical specifications, milestones, and quality standards for
• external contributors.
• Identify opportunities to translate internally developed platform innovations into
• Broader partnerships or collaborative networks.

Team Building & Organizational Development

• Build and lead an interdisciplinary team of automation engineers, robotics engineers, platform scientists, and systems integration specialists.
• Recruit individuals with deep technical rigor and strong understanding of biological systems.
• Establish engineering best practices in documentation, validation, uptime management, and quality control.
• Foster a culture that blends industrial engineering discipline with scientific innovation.
• Develop and manage a blended team structure that includes internal staff and external partners.

What You'll Bring

Essential - 

• Ph.D. or M.S. in Bioengineering, Mechanical Engineering, Robotics, Chemical Engineering, or related field; or equivalent industry experience.
• 10+ years of experience building and operating life science technology platforms in industry (biotech, pharma, or advanced technology companies).
• Demonstrated leadership in functional genomics, multi-omics platforms, or organoid-based systems.
• Deep expertise in laboratory automation, robotics, and systems integration.
• Proven experience deploying scalable, production-grade biological platforms.
• Strong track record of vendor management, outsourced engineering oversight, and technical diligence.
• Experience integrating automation systems with laboratory information systems and data pipelines.
• Demonstrated ability to recruit, mentor, and lead high-performing multidisciplinary teams.

Preferred - 

• Experience scaling CRISPR screening platforms or large-scale screening systems.
• Background in organoid automation or complex tissue models.
• Experience integrating imaging-based phenotypic screening with molecular profiling.
• Experience building platforms designed for ML-ready or model-driven experimental workflows.
• Experience deploying multi-site or distributed automation platforms.
• Familiarity with regulatory, quality, and compliance considerations in industrial biotech environments.
• Direct experience with AI-guided experimental design or model-in-the-loop workflows.

Compensation

The Chicago, IL  base pay range for a new hire in this role is $230,000 - $287,000. 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.

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

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

The Parsa Lab, also known as the Immune Cell Dynamics and Function group, is currently accepting applications for a Postdoctoral fellow position. The Parsa group focuses on investigating the cellular and functional dynamics of T cells, exploring how T cell fate decisions are made and how these decisions impact their functions in different disease contexts. Using a combination of genetically engineered mice, disease models, and single-cell technologies, we aim to uncover the principles governing T cell fate and their functional roles across tissues. This position is to develop novel methods and tools to determine the migratory dynamics of immune cells, with focus on T cells, and how that affects their cellular profile, function and longevity. It is an outstanding opportunity to collaborate with a team of talented scientists working to address fundamental immunological questions, with potential applications in treating inflammatory disorders, autoimmunity, and cancer. More information can be found at https://parsalab.org

Interested candidates should submit the following documents:

• Cover Letter detailing research interests, motivations and career goals.
• Full version of Curriculum Vitae (CV) highlighting major achievements, summary of a significant publication, and includes contact information for 3 references (letters will be requested as needed)

What You'll Do

• Conduct independent and collaborative research in immunology and related areas
• Design and perform in vitro and in vivo immune cell assessment
• Establish tools and perform assays to assess immune cell migration
• Design, execute and analyze experiments
• Present experimental data (in both written and oral formats)
• Prepare manuscripts for publication in peer-reviewed journals
• Follow advances in the field through published literature and conferences
• Work closely with fellow team members and other members at Biohub institutions
• Mentor research assistants and interns in the lab

What You'll Bring

Essential:

• PhD degree in immunology, molecular biology, genetics, biochemistry, or a related field
• Proficiency in molecular cloning, CRISPR gene editing, and generation of constructs for viral transduction methods
• A strong sense of curiosity and drive to explore
• Demonstrated ability to conduct independent research and work in a team
• Excellent communication skills (both verbal and written)
• Ability to collaborate in a diverse environment

Strong applicants have skills in one or more of the following areas:

• Experience working with mice, particularly generating transgenic or genetically modified primary T cells (and mice).
• Experience with flow cytometry and microscopy (particularly bioluminescence and fluorescence microscopy), and other imaging modalities to detect and quantify reporter gene expression
• Strong knowledge of the existing literature in immunology, dogmas and challenges

Compensation

The New York City, NY  base pay range for a new hire in this role is $93,000.00. 

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

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

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

The Opportunity

This role is part of the Data team, which focuses on owning the strategy, sourcing and implementation for data supporting AI research and development. Our goal is to maximize the speed, agility, and capability of biological AI research by connecting public data resources and Biohub's experimental platforms to AI systems.

The data that trains biological frontier models comes in dozens of modalities—sequences, images, spatial coordinates, time series, molecular structures, metadata, preprints and published papers—each with its own noise characteristics, biases, and information content. The question of how to represent this data for learning is one of the most important open problems in biological AI.

You will operate with broad scope and high autonomy, influencing roadmap decisions across teams while mentoring senior individual contributors. Success in this role means scaling data systems that are not only large, but adaptive, interpretable, and scientifically grounded, accelerating progress toward robust biological frontier models and ultimately advancing human health.

We're looking for data scientists who can work at this frontier: people who understand biological measurement deeply, think creatively about data representations and tokenization strategies, and can translate that thinking into novel training architectures. You'll work directly with experimental and computational scientists, data scientists and  AI researchers to define what the models see and how they see it, and data engineers to make this work at scale. This is a role for someone who wants to invent the methods that make biological frontier models possible.

What You'll Do

• Design data representations and tokenization strategies for imaging data that enable novel model architectures

• Coordinate Experimental, Data Science, Data Engineering and AI Research teams to translate biological structure into learnable representations—defining priorities and appropriate structures for metadata and data that information models can access and consume

• Work across those teams to guide data acquisition priorities, define quality criteria, and assess external datasets from a representation perspective

• Develop and validate approaches for combining heterogeneous data modalities into unified training frameworks, designing for robustness to noise, bias, and batch effects

• Evaluate how representation choices impact model performance, identifying which biological signals are captured or lost and iterating to improve

What You'll Bring

• PhD in computational biology, bioinformatics, or a quantitative biological field
• Experience with tokenization strategies for non-text data (images, sequences, graphs, time series)
• Track record of novel methodological contributions (publications, open-source tools, or production systems)
• Familiarity with biological foundation models (ESM, scGPT, or similar)
• Deep understanding of imaging data, their underlying data characteristics, and how to transform raw data into ai-ready datasets.
• Experience designing data representations or feature engineering for machine learning, ideally in scientific or biological contexts
• Familiarity with modern ML architectures (transformers, diffusion models, or similar) and how data representation choices affect learning
• Strong computational skills (Python, scientific computing libraries); comfort working with large-scale datasets
• Creative, first-principles thinking about how to structure data for learning

Compensation

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

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid 

The Team

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

Our Vision

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

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

The Opportunity

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

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

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

What You'll Do

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

What You'll Bring

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

Compensation

The Chicago, IL base pay for a new hire in this role is $84,150. 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

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

Our Vision                                                                     

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

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

The Opportunity

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

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

What You'll Do

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

What You'll Bring

Essential - 

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

Nice to have - 

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

Compensation

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid #LI-Onsite

The Team

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

Our Vision                                                                     

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

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

The Opportunity

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

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

What You'll Do

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

What You'll Bring

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

Compensation

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid #LI-Onsite

The Team

Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation — which underlies the most significant causes of death worldwide — first flares in the body. You can learn more about our work here. 

Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs.

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

Biohub is seeking a Computational Biologist to join our interdisciplinary AI/ML team within the Virtual Immune System initiative. This is a hands-on research role focused on building and evaluating lab-in-the-loop experimental systems and closing the cycle between computational models of immune cell behavior and wet-lab validation. The ideal candidate brings strong biological intuition, computational rigor, and experience applying machine learning to genomics or perturbation biology.

You will work at the intersection of foundation models, reasoning systems, and experimental immunology — developing frameworks for how these tools can be integrated into experimental workflows. This means defining what questions are addressable, designing experiments that stress-test model predictions, guiding analysis, and evaluating performance across the loop. The environment is highly collaborative and interdisciplinary, spanning immunology, automation engineering, and machine learning, with direct applications to human health and disease.

What You'll Do

• Design computationally-guided experiments leveraging reasoning models, foundation models, and automated lab infrastructure to address open questions in immunology and inflammation.
• Partner with experimental scientists, automation engineers, and AI/ML researchers to define addressable biological questions, close the loop between model predictions and wet-lab validation, and iterate on experimental strategy.
• Develop and document best practices for designing experimental workflows, including data acquisition strategy, analysis pipelines, and frameworks for iterative refinement across the loop.
• Critically evaluate model predictions by stress-testing outputs against external datasets, known biology, and expert intuition — identifying failure modes and feeding improvements back into model development.
• Contribute to publications, open-source tools, and translational applications that advance the field of computationally driven immune system modeling.

What You'll Bring

• PhD in Immunology, Computer Science/Statistics, Computational Biology/Genomics, or a related field.
• 3 to 5 years of experience of applying machine learning and computational approaches to biological problems, particularly in genomics or genetic perturbation screening (e.g., CRISPR-based screens, Perturb-seq).
• Hands-on experience with foundation models, LLMs, or reasoning models and a drive to rigorously evaluate where they do and don't work when applied to biological questions.
• Strong biological intuition and a clear scientific point of view — able to identify which questions are tractable, design experiments that test model predictions, and know when results don't pass the smell test.
• Strong programming and data skills (Python preferred), with an emphasis on reproducibility and clear documentation.
• Effective cross-domain communicator with experience working alongside experimentalists, engineers, or other non-computational collaborators to translate between domains and validate computational predictions.

Compensation

The Chicago, IL base pay range for a new hire in this role is $162,000.00 - $202,000.00. 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. 

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.

Benefits for the Whole You 

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

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

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

#LI-Onsite

The Team

The Opportunity

The Biohub invites exceptional scientists to apply for a Group Leader (Principal Investigator-equivalent) position. We seek researchers who pursue fundamental questions in immunology, including—though not limited to—experts in systems immunology, immune engineering, and functional or molecular immunology, with a particular emphasis on cellular subtypes associated with immune regulation in cancer and/or neuroinflammation. Ideal candidates will aim to uncover the core principles and dynamic behaviors that govern immune system function in both health and disease. We especially welcome applicants who integrate quantitative, high-throughput, and systems approaches to address broad immunological questions and principles, rather than those focused primarily on tool or method development. The overarching mission is to reveal the fundamental principles governing the function and development of the human immune system, including via regulatory, signaling, and cell-cell molecular interaction network analysis. The goal will be to identify mechanisms that can help reprogram the immune system’s function to monitor organ specific health conditions, modulate cell trafficking, and restore normal immune function in human disease conditions.

The Biohub in New York fosters a vibrant environment where fundamental discovery and cross-disciplinary collaboration are encouraged. We particularly welcome scientists eager to collaborate across biology, computation, and engineering to generate transformative insights into immune biology. The successful candidate will join a highly collaborative environment of both intramural investigators at the Biohub network and extramural investigators at our partner institutes, Columbia University, Yale University and The Rockefeller University. The successful candidate will have access to world-class resources within the Biohub and across partner campuses. Candidates are expected to establish an independent, creative and innovative research program, as well as demonstrate a commitment to collaboration. The Biohub will offer a competitive package with full funding for research personnel, lab operational costs, and essential equipment.

Applicants must hold a Ph.D., M.D., or equivalent degree in immunology or a related field, and have a strong foundation in quantitative or mechanistic approaches to biological research. Applicants should have a record of at least five years of postdoctoral or equivalent research experience demonstrating creativity, independence, and impactful contributions in research aligned with the themes described above.

Applicants are required to provide a cover letter and a 3-page research statement.

What You'll Do

• Lead an innovative, rigorous, and highly collaborative research program aligned with the mission of Biohub, focused on advancing fundamental understanding of the immune system.
• Develop a transformative research vision and provide technical guidance and mentorship to team members.
• Play a key role in our collaborative efforts to engineer immune cells to detect, prevent, and cure organ-specific diseased states by leveraging your expertise in immunology.
• Engage with colleagues throughout the Biohub to uphold our values of scholarly excellence, innovation, open communication, collaboration, partnership, and opportunity.
• Communicate progress and results with colleagues and the leadership team.
• Publish and disseminate impactful findings and the products of your research as preprints (medRxiv, bioRxiv) and/or software repositories (e.g., GitHub).
• Collaborate with the Biohub team to patent and license technologies resulting from your research.

What You'll Bring

• PhD or MD or equivalent degree in immunology or a related field.
• A minimum of 5 years post-doctoral experience with a strong foundation in immunology.
• An innovative research plan aimed at revealing the fundamental principles that govern the immune system. 
• Demonstrated publication track record in top tier journals on topics related to the scientific goals of this position.
• Demonstrated leadership, track record of innovation, and ability to work collaboratively.
• Supervisory or mentoring experience is a plus but not required for early-career applicants, but expected for more senior candidates.
• Demonstrating a creative vision to establish a highly innovative and impactful research program.
• Outstanding interpersonal and communication skills.
• Demonstrated commitment to open science and highly aligned with the mission and values of Biohub.

Compensation

The New York City, NY base pay range for a new hire in this role is $153,000.00 - $185,000.00. 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. 

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.

Interviews will begin starting April 15th 2026 and will continue until the position has been filled.

#LI-Hybrid 

The Team

Our decoding inflammation team builds tools to enable precise molecular-level measurements of inflammation within human tissues in real time, and develop proactive, early interventions that can be deployed when inflammation — which underlies the most significant causes of death worldwide — first flares in the body. You can learn more about our work here. 

Our team collaborates with three powerhouse universities - Northwestern University, the University of Chicago, and the University of Illinois Urbana-Champaign - to develop first-in-class technologies and make breakthroughs.

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

The Tissue Models team is dedicated to developing advanced in vitro systems that provide human-relevant platforms for studying inflammation. By creating comprehensive and physiologically relevant models, we aim to transform how inflammatory diseases are studied.

We are seeking a highly skilled and motivated scientist with a strong background in gastrointestinal disease, immunology, and organoid development. The ideal candidate will also have experience with bioprinting, extracellular matrix biology, and advanced microscopy techniques. This role will be highly collaborative, engaging in projects with engineering, AI, and proteomics teams in the Chicago Biohub as well as with investigators at our partner universities.

What You'll Do

• Cultivate advanced human 3-dimensional models of inflammatory gastrointestinal disease, including Celiac, Crohn’s, and Ulcerative Colitis.
• Working closely with engineering groups, develop a model system of disease that is compatible with in-house sampling and sensing platforms.
• Work collaboratively across platforms throughout the biohub to develop novel instrumented tissue models for measuring and mapping inflammation.
• Publish and disseminate impactful findings and the products of your research as preprints (medRxiv, bioRxiv), in peer-reviewed journals, and/or software repositories (e.g. GitHub).
• Regularly present findings to the team, university partners, and collaborators.
• Contribute to scientific publications and presentations at conferences.

What You'll Bring

Essential -

• PhD in Cell Biology, Immunology, or closely related
• Expertise in gastrointestinal biology and patterns of inflammation in GI disease
• Demonstrated leadership, track record of innovation, and ability to work collaboratively across disciplines
• > 4 years cell culture experience
• Hands-on experience with 3D culture model development
• Familiarity with standard molecular biology techniques
• Microscopy experience
• Excellent written and verbal communication skills

Nice to have - 

• Experience with 3D bioprinting and extracellular matrix biology
• Multiphoton microscopy expertise
• Microfluidic device experience
• Flow Cytometry/FACS proficiency
• Supervisory or mentoring experience

Compensation

The Chicago, IL base pay for a new hire in this role is $84,150.  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.

Benefits for the Whole You 

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

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

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

#LI-Hybrid #LI-Onsite

The Team

Our 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. 

The Opportunity

Biohub NY seeks to recruit an outstanding scientist to serve as Group Leader (equivalent to a Principal Investigator in academia), leading our Immune Cell Reprogramming research program.

The Group Leader will build, lead, and oversee a small research team focused on elucidating immune cell mechanisms in disease at the cellular and molecular levels, with the ultimate goal of developing novel immunotherapies. The program should include a strong research emphasis on T cell exhaustion, including strategies to understand, prevent, and/or reverse this process.

The successful candidate will join a vibrant, deeply interdisciplinary community of scientists working at the intersection of immunology, cell engineering, and translational medicine—representing one of the largest and most collaborative ecosystems of its kind.

Ideal candidates will demonstrate a strong track record of scientific achievement, along with a commitment to collaboration in a highly interdisciplinary environment.

Applicants are required to provide a cover letter and a 3-page research statement.

What You'll Do

• Identify, recruit, manage and mentor cell reprogramming lab members working under his/her supervision.
• Lead and actively participate in an innovative, vigorous, and collaborative research program aligned with the mission of CZ Biohub NY with the goal of elucidating the molecular and cellular mechanisms underlying cellular changes in chronic infection, cancer, or aging. 
• Play a collaborative role in our collective efforts to bioengineer immune cells for the detection and prevention of diseased states both within the Biohub NY and across the ecosystem of Biohubs and CZI activities. 
• Demonstrating outstanding productivity based on a compelling record of scientific publication, collaboration, and IP generation.
• Play a collaborative role in our collective efforts to elucidate critical immune cell mechanisms governing tissue residency and detection of aberrant cell states, with the aim of detecting and preventing diseased states.
• Develop a transformative research vision and providing technical guidance and mentorship to team members.
• Engage with colleagues throughout the Biohub and Biohubs ecosystem to uphold our values of scholarly excellence, innovation, open communication, hands-on collaboration, partnership, and research opportunities.
• Clearly communicate progress and results to colleagues and to the leadership team.
• Publish and disseminate impactful findings and the products of your research as preprints (medRxiv, bioRxiv) and/or software repositories (e.g., GitHub) and embrace the OpenScience policy of the Biohub network.
• Collaborate with the CZ Biohub team to patent and license technologies resulting from your research.

What You'll Bring

• PhD or MD with relevant research experience.
• An exceptional publication record demonstrating both the candidate’s creativity and productivity
• A minimum of 3 years post-doctoral experience or clinical training
• Demonstrated leadership, track record of innovation, and ability to work collaboratively.
• Supervisory or mentoring experience is a plus but not required for early-career applicants, but expected for more senior candidates.
• A creative vision to carry out or continue an innovative and impactful research program.
• Outstanding interpersonal and communication skills.
• Demonstrated commitment to open science and highly aligned with the mission and values of  CZ Biohub values.

Compensation

The New York City, NY base pay range for a new hire in this role is $153,000.00 - $185,000.00. 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. 

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.
• Annual benefit for employees that can be used most meaningfully for them and their families, such as housing, student loan repayment, childcare, commuter costs, or other life needs.
• Life of Service Gifts are awarded to employees to “live the mission” and support the causes closest to them.
• Paid time off to volunteer at an organization of your choice. 
• Funding for select family-forming benefits. 
• Relocation support for employees who need assistance moving.

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

#LI-Hybrid #LI-Onsite

The Team

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

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

The Opportunity

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

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

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

What You'll Do

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

What You'll Bring

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

Compensation

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

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

Better Together

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

Benefits for the Whole You 

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

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

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

#LI-Hybrid