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 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

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

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

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 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