Biohub
Postdoctoral Fellow/ Scientist I, Single-Cell Method Development
New York, NY (Onsite)
Sponsorship not specified$120k-$150kDetected 26 days ago
LinuxMachine LearningCompensationBioinformaticsPCRqPCRCRISPRFlow CytometryMolecular BiologyNGSResearchCommunicationCollaborationProblem SolvingPublic Speaking
About the role
- This role is ideal for a recent PhD with a proven track record in single-cell biology who excels at the intersection of technological innovation and transcription regulation.
- You will join a highly collaborative team working toward a shared vision at the cutting-edge of single-cell immunogenomics.
Responsibilities
- Assay development: Design, optimize, and scale high-throughput single-cell/nuclei extraction, barcoding, and library preparation workflows for scGRO-seq.
- Molecular biology techniques: Execute advanced methods including assay design, cell manipulation, RNA/DNA isolation, PCR/qPCR, NGS library construction, high-dimensional flow cytometry, and sequencing.
- Translational applications: Adapt and validate protocols in patient biopsies and 3D organoid models, with emphasis on reproducibility and sensitivity.
- Data integration: Partner with computational biologists to process and interpret large-scale single-cell datasets (RNA, chromatin, proteomics).
- Collaboration & dissemination: Collaborate across disciplines to investigate regulatory genomics in immune dysfunction, tumor-infiltrating immune cells, and autoimmune disease variants.
- 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
- 4+ years of experience working in genomics assay development or method optimization.
- 2+ years of experience working on single-cell transcriptomics, droplet chemistry, and microfluidics.
- Proven expertise and demonstrated success in bulk or single-cell method development.
- Experience designing and executing CRISPR screens and perturbation assays (genetic or chemical/drug).
- Strong problem-solving skills, independence, and the ability to troubleshoot complex workflows.
- Excellent communication skills and proven ability to work in collaborative, multidisciplinary teams.
Nice to have
- Experience and broad domain knowledge in microfluidic-based single-cell methods.
- Experience with hydrogel synthesis, single-cell barcoded bead generation, and aqueous droplets in oil emulsions.
- Experience with functional genomics in immune cells.
- Experience integrating multi-modal single-cell datasets (RNA, ATAC, proteomics).
- Working knowledge of Linux/HPC environments and single-cell analysis tools (e.g., Seurat, Scanpy).
- The New York, NY base pay for a new hire in this role is Postdoctoral Fellow = $93,000.00, Scientist I = $120,000 - $150,000.
- We're thankful to have an incredible team behind our work.
- 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.
Compensation
- The New York, NY base pay 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 Biohub's discretionary annual performance bonus program.
- Provides a generous employer match on employee 401(k) contributions to support planning for the future.
- 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.
Benefits
- Paid time off to volunteer at an organization of your choice.
- Funding for select family-forming benefits.
- Bonus eligibility and targets are determined in accordance with Biohub's total rewards philosophy and may vary by role.
- 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://www.czbiohub.org/ny/ ) 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.
- CZ Biohub NY 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 CZ Biohub facilitate research by scientists and clinicians at our home institutions and beyond
- Diversity of thought, ideas, and perspectives are at the heart of CZ Biohub Network and enable disruptive innovation and scholarly excellence.
- We are committed to cultivating an inclusive organization where all colleagues feel inspired and know their work makes an important contribution.
- 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 advance enhancer-guided precision genomic medicine for diseases involving immune dysfunction.
This listing is sourced directly from Biohub's careers page and normalized into a canonical job model.