Scientist, Single Cell Technology Development & Translational Genomics

Scientist, Single Cell Technology Development & Translational Genomics

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Biohub is leading the new era of AI‑powered biology to cure or prevent disease through its 501(c)(3) medical research organization, supported by the Chan Zuckerberg Initiative. Biohub brings together scientists, engineers, and physicians to pursue grand scientific challenges over 10–15‑year horizons, focusing on understanding disease mechanisms and developing new technologies that enable actionable diagnostics and effective therapies.

The Laboratory of Immunogenomics studies the non‑coding regulatory genome to understand and address immune dysfunction in diseases such as 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. Our work employs bulk and single‑cell nascent RNA sequencing, genome editing, immune engineering, and CRISPR‑based functional screens in patient biopsies, organoid systems, and mouse models.

Computational analysis integrating machine learning and AI maps enhancer‑gene networks and identifies disease‑driving elements, advancing enhancer‑guided precision genomic medicine.

We are seeking a highly motivated Scientist to lead the development of a high‑throughput adaptation of the single‑cell nascent RNA sequencing method (scGRO‑seq) and apply it to patient biopsies and organoid models. The role involves designing, optimizing, and benchmarking novel single‑cell genomics workflows, integrating them with perturbation‑based assays, and generating datasets that drive transformative insights into immune regulation.

• Assay development: design, optimize, and scale high‑throughput single‑cell/nuclei extraction, barcoding, and library preparation workflows for scGRO‑seq.
• Perturbation integration: combine scGRO‑seq with CRISPR‑based enhancer perturbation, drug treatments, and multi‑omics profiling.
• Molecular biology: execute advanced techniques 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, emphasizing reproducibility and sensitivity.
• Immune cell engineering: isolate, culture, and reprogram hematopoietic stem/progenitor cells (HSPCs) and primary immune subsets.
• Data integration: partner with computational biologists to process and interpret large‑scale single‑cell datasets (RNA, chromatin, proteomics) using pipelines such as Bowtie, STAR, Seurat, and Scanpy.
• Collaboration & dissemination: collaborate across disciplines to investigate regulatory genomics in immune dysfunction, tumor‑infiltrating immune cells, and autoimmune disease variants; contribute to publications, preprints, conference presentations, and grant proposals.

• 2+ years of postdoctoral or equivalent post‑PhD experience in academic or industry settings.
• PhD in Molecular Biology, Systems Biology, Genetics, Immunology, Cancer Biology, Biomedical Engineering, or related field.
• Proven expertise in single‑cell or spatial omics technology development, ideally in RNA biology or immune engineering.
• Demonstrated success in genomic assay development from concept to implementation.
• Strong background in immune cell biology, innate and adaptive immunity, and hematopoietic stem/progenitor cell culture and reprogramming.
• 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: computational fluency in genomic data analysis; experience with functional genomics in immune cells; familiarity with 3D culture systems or hydrogels; experience integrating multi‑modal single‑cell datasets; working knowledge of Linux/HPC environments and single‑cell analysis tools (Seurat, Scanpy).

The New York City, NY base pay range for a new hire in this role is Scientist I $120,000–$165,000 and Scientist II $138,000–$189,000. New hires are typically hired into the lower portion of the range, enabling employee growth over time. Actual placement is based on job‑related skills and experience evaluated during the interview process.

• Generous employer match on employee 401(k) contributions.
• 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.

You may be an excellent fit even if your previous experience does not perfectly align with every qualification. We encourage you to apply.