--- title: 'Principal Technical Program Manager, Science, Imaging at Biohub' canonical: 'https://feeny.ai/job/principal-technical-program-manager-science-imaging-biohub-redwood-city-v9dbd6a743s4' type: 'job' last_seen: '2026-09-06' --- # Principal Technical Program Manager, Science, Imaging at Biohub - **Company:** Biohub - **Location:** Redwood City, CA - **Work type:** hybrid - **Posted:** 2026-08-10 - **Last confirmed live:** 2026-09-06 - **Apply:** https://job-boards.greenhouse.io/biohub/jobs/8119742 ## 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 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](https://biohub.org/imaging/). 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 Biohub is seeking an experienced Technical Project Manager to support the VP of Imaging in leading cross-functional teams to plan, execute, and deliver ambitious imaging science and technology projects. The ideal candidate will combine strong technical knowledge with exceptional project management skills to guide complex initiatives from conception to completion. This is ideal for a TPM who takes pride in disciplined, transparent project execution and brings a builder's mindset to process design. You will not simply run established workflows; you will actively help implement new ones and identify where they break down. You will work closely with imaging scientists, engineers, AI researchers and cross-functional stakeholders in a fast-moving, collaborative environment where your contributions directly shape the team's scientific and technical output. ## What You'll Do - Support the VP of Imaging in coordinating multidisciplinary teams and cross-platform, cross-program activities throughout the planning and execution of complex imaging technology projects, in alignment with the Biohub strategic roadmap - Live at the intersections of cross-functional initiatives and drive programs to completion with end-to-end ownership - Develop comprehensive project plans, including scope, schedules, resource allocation, risk assessments, and budgets - Track metrics including publications, conferences/workshops attended, visitor programs, platform performance, throughput, and more - Manage technical dependencies, identify potential roadblocks, and implement effective solutions - Track project progress using appropriate metrics and tools, and provide regular status updates to stakeholders - Facilitate effective communication between team members, departments, and external partners - Adapt project management approaches to accommodate changing priorities or new information - Document project outcomes, lessons learned, and best practices ## What You'll Bring Essential - Bachelor's degree in bioengineering, imaging sciences, computational engineering, image modeling, or related technical field; Master's degree or PhD preferred - 10+ years of experience managing complex technical projects, preferably in imaging technology, AI research, or related fields - Strong understanding of AIxBio, imaging technologies, image modeling, and lab automation - Proactive approach to problem solving and gap-filling, taking ownership of issues as they arise - Proven track record of successfully delivering challenging multidisciplinary scientific and technical  projects - Demonstrated ability to manage projects with significant technical uncertainty - Demonstrated ability to evaluate, select, and effectively implement appropriate project management methodologies and tools based on project requirements - Experience managing projects with a mix of technical, scientific, and industry partners - Outstanding communication and interpersonal skills - Ability to communicate  technical concepts to diverse audiences ## Nice to have - Track record of innovation and creative problem-solving ## Compensation The Redwood City, CA base pay range for a new hire in this role is $214,000.00 - $268,000.00. 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 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 ## 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 - [Lab Manager, Aquaculture](https://feeny.ai/job/lab-manager-aquaculture-biohub-san-francisco-jbb8r64afpz6) — San Francisco, CA - [Postdoctoral Fellow/Scientist I, Synthetic Spatial Omics (Imaging Technology)](https://feeny.ai/job/postdoctoral-fellow-scientist-i-synthetic-spatial-omics-imaging-technology-1nyrb04bmy85) — New York, NY - [Scientist II, Scaling Lead](https://feeny.ai/job/scientist-ii-scaling-lead-biohub-san-francisco-9xk1n38bp90g) — San Francisco, CA - [Computational Biologist, Immune Cell Repolarization](https://feeny.ai/job/computational-biologist-immune-cell-repolarization-biohub-new-york-dt3na0g615eh) — New York, NY - [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 - [Computational Biologist, Synthetic Spatial Omics](https://feeny.ai/job/computational-biologist-synthetic-spatial-omics-biohub-new-york-srwtkdew50sf) — New York, NY - [Director, Virtual Biology Initiative](https://feeny.ai/job/director-virtual-biology-initiative-biohub-redwood-city-pwf0p3w6k56w) — Redwood City, CA - [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