Scientist, Single Cell Technology Development & Translational Genomics - ( at Chan Zuckerberg Biohub

, , -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

189000.0

Posted On

09 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Single-Cell Technology, RNA Sequencing, Genomic Technologies, CRISPR, Molecular Biology, Data Integration, Immune Cell Biology, Assay Development, Computational Analysis, Hematopoietic Stem Cells, Collaboration, Problem-Solving, Communication, Multi-Omics Profiling, Experimental Design

Industry

Research Services

Description

The Team The Chan Zuckerberg Biohub Network (https://www.czbiohub.org/) is a group of nonprofit research institutes that bring together scientists, engineers, and physicians with the goal of pursuing grand scientific challenges on 10- to 15-year time horizons. The CZ Biohub Network focuses on understanding underlying mechanisms of disease and developing new technologies that will lead to actionable diagnostics and effective therapies. Our Vision 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 the CZ Biohub Network 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 organization where all colleagues feel inspired and know their work makes an important contribution. The Opportunity The Laboratory of Immunogenomics at CZ Biohub NY 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. We are seeking a highly motivated Scientist to lead the development of a high-throughput adaptation of a newly established single-cell nascent RNA sequencing method (scGRO-seq) and apply it to patient biopsies and organoid models. The role involves designing, optimizing, and benchmarking cutting-edge single-cell genomics workflows, integrating them with perturbation-based assays, and generating datasets that drive transformative insights into immune regulation. For candidates with demonstrated technical expertise and leadership ability, this position offers the opportunity to build and lead a small team (one to two research associates) to implement the assay, conduct perturbation experiments, and oversee data generation. Once the workflow is established, this position will direct experimental execution, coordinate large-scale data acquisition, and collaborate on downstream analyses with computational biologists to deliver actionable translational insights. This role is ideal for a post-PhD scientist with a proven track record in single-cell biology who excels at the intersection of technological innovation, complex biology, and computational analysis. You will join a highly collaborative team working toward a shared vision. The position offers rich opportunities for professional growth—developing leadership, mentorship, and multidisciplinary expertise—equipping the candidate to thrive at the cutting-edge of single-cell immunogenomics for future academic or industry roles. What You'll Do 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 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. 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 established and custom pipelines (e.g., Bowtie, STAR, Seurat, 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. What You'll Bring Essential - 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; ability to work with bioinformatics pipelines for single-cell and bulk datasets. Experience with functional genomics in immune cells. Familiarity with 3D culture systems or hydrogels for immune cell studies. 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). Compensation The New York City, NY base pay range for a new hire in this role is Scientist I = $120,000.00 - $165,000.000 and Scientist II = $138,000.00 - $189,000.00. 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. 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

Responsibilities

Lead the development of high-throughput single-cell nascent RNA sequencing methods and apply them to patient biopsies and organoid models. Design and optimize workflows, conduct perturbation experiments, and oversee data generation for insights into immune regulation.