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Spatial Transcriptomics Jobs in New York, NY (NOW HIRING)

NYU Langone Health

Research Scientist

Manhattan, NY

$58K - $73K/yr

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

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All JobsSpatial Transcriptomics JobsSpatial Transcriptomics Jobs in New York, NY

Spatial Transcriptomics information

See New York, NY salary details

$53.6K

$222.6K

$437.6K

How much do spatial transcriptomics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for spatial transcriptomics in New York, NY is $222,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $437,600.00 per year, depending on experience, location, and employer.

What is spatial transcriptomics?

Spatial transcriptomics is an advanced technique that allows scientists to measure gene expression within the spatial context of tissue samples. Unlike traditional RNA sequencing, which loses information about where each gene is expressed, spatial transcriptomics preserves the physical location of gene activity in tissues. This helps researchers better understand how cells function within their native environments and interact with neighboring cells, which is especially valuable in fields like cancer research, neuroscience, and developmental biology. The method combines microscopy, molecular biology, and computational analysis to produce detailed maps of gene expression.

What are some common challenges faced by professionals working in spatial transcriptomics, and how can they be addressed?

Professionals in spatial transcriptomics often encounter challenges related to handling large, complex datasets and integrating spatial information with gene expression data. Ensuring high-quality sample preparation and mastering advanced imaging or sequencing technologies are also frequent hurdles. These challenges can be addressed by collaborating closely with multidisciplinary teams—including bioinformaticians, molecular biologists, and imaging specialists—and staying up-to-date with the latest software tools and protocols. Continuous learning and effective communication within the team are key to overcoming technical and analytical obstacles in this rapidly evolving field.

What are the key skills and qualifications needed to thrive as a spatial transcriptomics scientist?

To thrive as a Spatial Transcriptomics Scientist, you need a strong background in molecular biology, genomics, and bioinformatics, typically supported by an advanced degree in a life science field. Familiarity with spatial transcriptomics platforms (such as 10x Genomics Visium), next-generation sequencing (NGS) technologies, and data analysis tools like R or Python is essential. Strong problem-solving skills, attention to detail, and effective communication are important soft skills for collaborating on interdisciplinary research projects. These skills and qualities are crucial for generating high-quality spatial gene expression data and translating findings into meaningful biological insights.
What are popular job titles related to Spatial Transcriptomics jobs in New York, NY? For Spatial Transcriptomics jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Spatial Transcriptomics jobs in New York, NY look for? The top searched job categories for Spatial Transcriptomics jobs in New York, NY are:
What cities near New York, NY are hiring for Spatial Transcriptomics jobs? Cities near New York, NY with the most Spatial Transcriptomics job openings:
Spatial Transcriptomics jobs near you
Infographic showing various Spatial Transcriptomics job openings in New York, NY as of August 2026, with employment types broken down into 72% Full Time, 24% Part Time, 1% Temporary, and 3% Contract. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $222,601 per year, or $107 per hour.

Research Scholar, Biostatistics Service, Department of Epidemiology and Biostatistics

Memorial Sloan

Manhattan, NY • On-site

$75K - $80K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Memorial Sloan Kettering Cancer Center rating

8.5

Company rating: 8.5 out of 10

Based on 133 frontline employees who took The Breakroom Quiz

14th of 887 rated healthcare providers

Job description

Job details

About Us:

The people of Memorial Sloan Kettering Cancer Center (MSK) are united by a singular mission: ending cancer for life. Our specialized care teams provide personalized, compassionate, expert care to patients of all ages. Informed by basic research done at our Sloan Kettering Institute, scientists across MSK collaborate to conduct innovative translational and clinical research that is driving a revolution in our understanding of cancer as a disease and improving the ability to prevent, diagnose, and treat it. MSK is dedicated to training the next generation of scientists and clinicians, who go on to pursueour missionat MSK and around the globe.

Exciting Opportunity at MSK:Research Scholar, BiostatisticsService

Role Overview:

We areseekinga highly motivated candidate, interested in statistical and computationalmethodsdevelopment and application in immuno-oncology studies, for a position as a postdoctoral fellow. Our group has assembled a uniquely rich, multimodal dataset of immune profiling from blood and tissue samples of cancer patients treated with immunotherapy. These data include flow cytometry,scRNA-seq,spatial transcriptomics, and co-registered multiplex immunofluorescence (mIF) and H&E whole-slide images, all linked to comprehensive clinical annotations.

The successful candidate will have the opportunity to lead the development of novel statistical and computational methods for integrating multimodal datasets to uncover mechanisms of treatment response,identifypredictive biomarkers, and advance precision immuno-oncology. The fellow will work closely with world-leading experts in immunology, pathology, oncology, and data science, with opportunities to develop both methodological innovations and clinically impactful applications.

https://www.mskcc.org/research-areas/labs/ronglai-shen

Key Requirements:

  • Hold a Ph.D. in biostatistics, statistics, computer science, computational biology, orrelatedquantitative discipline.

Core Skills:

  • Strong methodological training in statistics

  • Experience in high-dimensional data analysis

  • Preferably haveadeeplearning or foundation models for biomedical data.

Submit C.V.,cover letter, and 3 referencesin your application submission to:

Contact Name

Ronglai Shen

Contact Email

Shenr@mskcc.org

Learn more about working as a Post-Doctoral at MSK: What distinguishes this opportunityisyou will gain access to high-quality facilities, innovative technologies, and a collaborative environment that promotes ingenuity. Collaborating with leading professionals in genetic epidemiology and computational genomics, you will contribute to groundbreaking research that can revolutionize patient outcomes globally.

Pay Range:$75,000- $80,000

Helpful links:

  • MSK Compensation Philosophy

  • ReviewOur Great Benefits Offerings

Pay Range: $0.00 - $10,000,000.00 FSLA Status: Exempt

Closing:

At MSK, we believe in fair, competitive pay that reflects your job, experience, and skills.

MSK is an equal opportunity and affirmative action employer committed to diversity and inclusion in all aspects of recruiting and employment. All qualified individuals are encouraged to apply and will receive consideration without regard to race, color, gender, gender identity or expression, sexual orientation, national origin, age, religion, creed, disability, veteran status or any other factor which cannot lawfully be used as a basis for an employment decision.

Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable accommodation to apply for a job or to perform your job. Examples of reasonable accommodation include making a change to the application process or work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment.

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