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Single Cell Spatial Transcriptomics Jobs in Brooklyn, NY

RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics * Conduct studies using mouse models of carcinogenesis and participate in experimental design, data analysis, and ...

Research Scientist

Manhattan, NY · On-site

$59 - $73/hr

RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics * Conduct studies using mouse models of carcinogenesis and participate in experimental design, data analysis, and ...

New

RNA sequencing, single-cell RNA sequencing, and spatial transcriptomics * Conduct studies using mouse models of carcinogenesis and participate in experimental design, data analysis, and ...

Showing results 21-40

Single Cell Spatial Transcriptomics information

See Brooklyn, NY salary details

$13

$22

$31

How much do single cell spatial transcriptomics jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for single cell spatial transcriptomics in Brooklyn, NY is $22.76, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $28.56 per hour, depending on experience, location, and employer.

What is single cell spatial transcriptomics?

Single cell spatial transcriptomics is a cutting-edge technique that allows researchers to analyze gene expression in individual cells while preserving their spatial location within a tissue. This method combines the high-resolution insights of single-cell RNA sequencing with spatial information, enabling scientists to understand how cells interact and organize within their native environments. It is widely used in biomedical research to study tissue architecture, disease mechanisms, and cellular heterogeneity.

What are the typical challenges faced by professionals working in single cell spatial transcriptomics, and how can they be addressed?

Professionals in Single Cell Spatial Transcriptomics often encounter challenges related to handling large, complex data sets and integrating spatial information with single-cell transcriptomic profiles. These tasks demand strong computational skills and close collaboration with bioinformaticians and other researchers. Effective communication within interdisciplinary teams is essential to ensure experimental design aligns with downstream analysis needs. Staying updated with rapidly evolving technologies and best practices also helps professionals overcome technical hurdles and produce reliable, high-impact results.

What are the key skills and qualifications needed to thrive as a single cell spatial transcriptomics scientist, and why are they important?

To thrive as a Single Cell Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree (PhD or MSc) in a relevant field. Familiarity with high-throughput sequencing platforms, spatial transcriptomics technologies (like 10x Genomics Visium or NanoString GeoMx), and data analysis tools such as R or Python is essential. Critical thinking, problem-solving, and effective communication are crucial soft skills for interpreting complex data and collaborating in multidisciplinary teams. These skills and qualities are vital for generating reliable insights into cellular function and spatial organization, which drive innovative research and discovery.

What are popular job titles related to Single Cell Spatial Transcriptomics jobs in Brooklyn, NY?

For Single Cell Spatial Transcriptomics jobs in Brooklyn, NY, the most frequently searched job titles are:

What job categories do people searching Single Cell Spatial Transcriptomics jobs in Brooklyn, NY look for?

The top searched job categories for Single Cell Spatial Transcriptomics jobs in Brooklyn, NY are:

What cities near Brooklyn, NY are hiring for Single Cell Spatial Transcriptomics jobs?

Cities near Brooklyn, NY with the most Single Cell Spatial Transcriptomics job openings:

Infographic showing various Single Cell Spatial Transcriptomics job openings in Brooklyn, NY as of August 2026, with employment types broken down into 1% Locum Tenens, 1% As Needed, 80% Full Time, 15% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $47,340 per year, or $22.8 per hour.

Postdoctoral Fellow/ Scientist I , Synthetic Spatial Omics

Biohub

New York, NY

$53K - $72K/yr

Full-time

Retirement, PTO

Re-posted 20 days ago


Job description

The Team

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.

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 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.

The Opportunity

We are seeking an exceptional Postdoctoral Fellow/ Scientist I focusing on cell engineering with a creative mindset to drive innovative engineering and investigation of programmable immune cells with single-cell spatial precision. 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. This position offers the opportunity to translate unconventional ideas toward advancing cell therapies, while developing expertise at the intersection of technology development and fundamental discovery within a highly collaborative, interdisciplinary research environment. 

What You'll Do
  • Computationally design programmable molecular components (e.g., receptors and transcription factors).
  • Engineer immune cells with these components and profile their behavior in tissue using spatial multi-omics (e.g., seqFISH+) to uncover cellular functions and engineering principles.
  • Analyze high-dimensional imaging and sequencing datasets using computational approaches to identify organizational and regulatory principles. 
  • Collaborate closely with researchers across genomics, immunology, machine learning, and related disciplines.
  • Contribute to preprints, publications, presentations, and open science practices.
What You'll Bring
  •   PhD in Synthetic Biology, Systems Biology, Bioengineering, Immunology or a closely related discipline.

    •     2-4 years of experience post PhD (Scientist I) in synthetic biology, immune engineering, and/or protein design.
    •     Experience developing novel experimental technologies.
    •     Experience with molecular biology techniques, including cell culture, nucleic acid workflows, and cellular functional assays.
    •     Ability to independently design rigorous experiments, troubleshoot complex workflows, and drive projects to completion.
    •     Collaborative mindset and strong scientific communication skills. 

    Nice to have - 

    •     Experience developing novel computational technologies.
    •     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.

Interested candidates should submit the following documents:

  •     Cover Letter detailing research interests, motivations, and career goals.
  •     Full Curriculum Vitae (CV) highlighting major achievements.
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. 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.

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.

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