---
title: 'Computational Biologist, Immune Cell Repolarization at Biohub'
canonical: 'https://feeny.ai/job/computational-biologist-immune-cell-repolarization-biohub-new-york-dt3na0g615eh'
type: 'job'
last_seen: '2026-09-06'
---

# Computational Biologist, Immune Cell Repolarization at Biohub

- **Company:** Biohub
- **Location:** New York, NY
- **Work type:** hybrid
- **Posted:** 2026-08-26
- **Last confirmed live:** 2026-09-06
- **Apply:** https://job-boards.greenhouse.io/biohub/jobs/8140482

## Job description

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 everywhere.

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](https://biohub.org/immune-cell-reprogramming/).

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

Biohub NY is seeking an accomplished computational biologist experienced in machine learning and transcriptomic data analyses to join our interdisciplinary team. Within the Biohub NY “Immune Cell Re-Programming” group, this role requires experience in research settings, a background in biology, and a proven ability to design, evaluate, and publish innovative computational methodologies that leverage machine learning, statistics, and multi-omics to advance biological research and discovery. Research projects to accelerate the rate of scientific discovery will be assigned by the group leader, Dr. Aleksandar Obradovic, and in collaboration with research teams across the organization.

Dr. Obradovic’s group focuses on leveraging novel approaches for analysis of transcriptional, TCR-Seq, and spatial data across clinical and pre-clinical data toward improved understanding of the immune mechanisms of resistance to checkpoint-inhibitor immunotherapies, with projects aimed at inferring and prioritizing synergistic combination-therapies and regulatory targets for re-programming immune micro-environment (T-cells, macrophages, fibroblasts) toward an anti-tumor phenotype.

The ideal candidate will have a strong track record of accomplishments and a dedication to collaborative work within a highly interdisciplinary environment.  Please submit a cover letter with your resume.

## What You'll Do

- Contribute to a dynamic, innovative, and collaborative program that aligns with the mission of Biohub NY.
- Develop, apply, and evaluate cutting-edge computational / AI methodologies using data generated from across all research groups and incorporating relevant available datasets to develop mechanistic models of tumor-immune-stromal crosstalk.
- Collaborate within an interdisciplinary research environment to develop, test, and validate models.
- Engage with colleagues throughout the Biohub to uphold our values of scholarly excellence, innovation, open communication, hands-on hacking, and partnership.
- Communicate progress and results with colleagues inside and outside of your team.
- Publish and disseminate impactful findings through preprints (medRxiv, bioRxiv) and/or software repositories (e.g., GitHub).
- Work with the Biohub team to patent and license technologies resulting from your research.

## What You'll Bring

- PhD in Systems Biology, AI / Machine learning, Statistics or MS plus relevant job experience.
- 1-2 years of relevant biomedical science experience, demonstrating a deep understanding of cellular biology, transcription and protein signal transduction.
- Experience demonstrating the ability to implement, evaluate, and create new computational methodologies that leverage machine learning, statistics, and AI for biological research and discovery.
- Experience programming in R and Python.
- Experience in building and evaluating machine learning and/or neural network models on biological data, with a deep understanding of feature selection, regularization, model introspection, and interpretability.
- Proficiency in using and modifying probabilistic learning or deep learning models such as RNNs, GNNs, protein sequence models, or natural language processing models.
- Proven track record of individual innovation, as well as a strong ability to work collaboratively.
- Outstanding interpersonal and communication skills.
- Demonstrated commitment to open science and alignment 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 - $191,000. 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 #LI-Onsite

## About Biohub

## Company Overview
- **One-liner**: Biohub (Chan Zuckerberg Biohub) is a nonprofit research organization building AI-powered tools and engineered cells to detect, treat, and ultimately cure age-related diseases.
- **Entity Type**: Nonprofit (Private) – parent institution is the Chan Zuckerberg Initiative; funded by a $600 million endowment from Mark Zuckerberg and Priscilla Chan.
- **Headquarters**: Redwood City, California, United States (with additional offices in San Francisco, Chicago, New York)
- **Founded**: 2016
- **Founders**: Priscilla Chan and Mark Zuckerberg (co-founded as part of the Chan Zuckerberg Initiative; initial scientific leadership by Stephen Quake and Joseph DeRisi)

## Core Business
- **Primary industry/industries**: AI-powered biology, biotechnology research, healthcare
- **Target customers**: Scientists and researchers in academia and industry; indirectly benefits biotech and pharmaceutical companies through open-source models and foundational research; also invests in early‑stage companies via Science Ventures.
- **Mission or purpose statement**: “To cure or prevent all disease” by combining frontier artificial intelligence with frontier biology to understand why disease happens and how to correct it.

## Products & Services
- **AI Models for Biology**: Frontier AI models trained on large‑scale biological datasets (e.g., a world model of protein biology) that allow scientists to generate, test, and refine new protein designs. These are released as open discovery engines.
- **Multi‑Dimensional Imaging Platforms**: Advanced tools (e.g., laser phase plate microscopy) that capture life from single proteins to whole organisms, revealing how cells function and communicate. Enables new AI models to predict cellular behavior.
- **High‑Throughput Data Generation Engines**: Proprietary platforms for measuring, imaging, and programming biology at unprecedented scale, powering AI model training and hypothesis generation.
- **Science Ventures**: An investment arm that supports early‑stage companies aligned with Biohub’s Grand Challenges (e.g., Somite AI, Adaptyx Biosciences).
- **Grants & Collaborations**: Targeted grantmaking and open competitions to expand scientific research, including the Investigator Program for external scientists.

## Market Standing
- **Valuation/Market Cap**: Not applicable (nonprofit); endowment of US$600 million (initial funding in 2016).
- **Key Metric**: ~367 employees (as of mid‑2025); operating in 5 countries (US, UK, France, Canada, Netherlands); active job postings: 35+.
- **Notable Investors/Partners**: Chan Zuckerberg Initiative (primary funder); academic partners include UC Berkeley, UCSF, Stanford; recent investments in Somite AI and Adaptyx Biosciences.
- **Growth Signals**: Headcount growing 1.5% monthly; quarterly job posting increase of 133%; expanding into new locations (Chicago, New York); launching open‑source biological AI models.

## Competitive Advantages
- **Scale of Compute & Data**: Unprecedented access to frontier AI compute clusters combined with unique, large‑scale biological datasets (genomics, proteomics, imaging).
- **Open Science Model**: Results and models are shared openly, creating a virtuous feedback loop with the global research community.
- **Talent Density**: Strong hiring pipeline from top institutions (Stanford, UC Berkeley, UCSF, Caltech) and a collaborative culture across AI, engineering, and biology.
- **Founder Backing**: Deep, sustained funding from Mark Zuckerberg and Priscilla Chan ensures long‑term, risk‑taking research without commercial pressure.

## Strategic Focus
- **Grand Challenges**: Decoding inflammation, early detection of age‑related diseases (cancer, Alzheimer’s, Parkinson’s), rare disease research, and building a “world model” of protein biology.
- **AI‑First Biology**: Developing AI models that can predict cellular behavior and guide targeted treatment “only when and where needed.”
- **Platform Scaling**: Expanding high‑throughput data generation engines and imaging tools to break through sparsity of biological data.
- **Open Collaboration**: Accelerating translation from basic discovery to patient benefit through partnerships, grants, and open‑source releases.

## Why Work Here
- **Mission‑Driven**: Opportunity to work at the intersection of AI and biology on problems that aim to eliminate the most significant causes of death worldwide.
- **Culture & Team**: A collaborative team of scientists, engineers, and ML experts from top universities and companies (Genentech, EvolutionaryScale, etc.). Emphasis on “audacious, important scientific challenges.”
- **Work Policy**: Hybrid model for many roles in Redwood City and New York; some positions are onsite in Chicago or San Francisco.
- **Compensation & Perks**: Competitive salaries (e.g., Computational Biologist II ~$99k/yr, Clinical Lab Specialist ~$58k/yr); strong benefits typical of a well‑funded nonprofit; no equity, but meaningful mission impact.
- **Growth**: Rapid hiring expansion across AI research, engineering, and biology; opportunity to work on frontier AI compute infrastructure and foundational biology models.

## Sources
1. [biohub.org](https://biohub.org/)
2. [Careers page – Greenhouse](https://job-boards.greenhouse.io/biohub)
3. [LinkedIn – CZ Biohub](https://www.linkedin.com/company/cz-biohub)
4. [Wikipedia – Chan Zuckerberg Biohub](https://en.wikipedia.org/wiki/Chan_Zuckerberg_Biohub) (referenced via search result)

## Other roles at Biohub

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- [Scientist II, Scaling Lead](https://feeny.ai/job/scientist-ii-scaling-lead-biohub-san-francisco-9xk1n38bp90g) — San Francisco, CA
- [Research Associate II, Structural & Cellular Biology (Proteomics & CryoET)](https://feeny.ai/job/research-associate-ii-structural-cellular-biology-proteomics-cryoet-biohub-ge4pjxz6hq0k) — Redwood City, CA
- [Staff Research Scientist, AI Safety](https://feeny.ai/job/staff-research-scientist-ai-safety-biohub-new-york-68fy1gymrhmg) — New York, NY
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- [Principal Technical Program Manager, Science, Imaging](https://feeny.ai/job/principal-technical-program-manager-science-imaging-biohub-redwood-city-v9dbd6a743s4) — Redwood City, CA
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- [Staff Data Scientist, Imaging](https://feeny.ai/job/staff-data-scientist-imaging-biohub-redwood-city-20s3vpyx8gb5) — Redwood City, CA
- [Lab Manager](https://feeny.ai/job/lab-manager-biohub-redwood-city-zkr8595zv6aq) — Redwood City, CA