Biohub
Postdoctoral Fellow/ Scientist I , Synthetic Spatial Omics
New York, NY (Onsite)
Sponsorship not specified$120k-$150kDetected 2 days ago
Machine LearningComputer VisionCompensationBioinformaticsMolecular BiologyCell CultureResearchCommunicationCollaborationPublic Speaking
About the role
- The successful candidate will integrate synthetic biology, spatial multi-omics, and systems-level analysis to engineer programmable cellular functions, investigate their activities in situ, and identify the molecular drivers of specific functional states.
Responsibilities
- Computationally design programmable molecular components (e.g., receptors and transcription factors).
- Experience developing novel experimental technologies.
- Ability to independently design rigorous experiments, troubleshoot complex workflows, and drive projects to completion.
- Experience developing novel computational technologies.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- Relocation support for employees who need assistance moving
Requirements
- 2-4 years of experience post PhD (Scientist I) in synthetic biology, immune engineering, and/or protein design.
- Experience with molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
- Experience with immune cell engineering and their characterization with animal models.
- Experience with de novo protein design or protein circuits.
- Experience with omics technologies and analysis.
Compensation
- The New York City, NY base pay range for a new hire in this role is Postdoctoral Fellow = $93,000.00 & Scientist I = $120,000 - $150,000.
- 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.
Benefits
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Collaborate closely with researchers across genomics, immunology, machine learning, and related disciplines.
- Benefits for the Whole You
- To honor their commitment, we offer a wide range of benefits to support the people who make all we do possible.
Company info
- The Chan Zuckerberg Biohub New York (CZ Biohub NY, https://biohub.org/immune-cell-reprogramming/ ) 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.
- 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 newly established Laboratory of Synthetic Spatial Omics at CZ Biohub NY ( https://biohub.org/synthetic-spatial-omics/ ) advances our understanding of engineered immune cell function within their native microenvironment to design better cell therapeutic approaches.
- Toward this goal, we develop and integrate state-of-the-art immune cell engineering, imaging-based and sequencing-based multi-omics, and machine learning/AI frameworks.
- We bring together scientists with diverse expertise to pursue highly interdisciplinary scientific challenges.
This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.