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Computational Spatial Transcriptomics Jobs in Brooklyn, NY

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How much do computational spatial transcriptomics jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for computational spatial transcriptomics in Brooklyn, NY is $57.76, according to ZipRecruiter salary data. Most workers in this role earn between $49.28 and $77.36 per hour, depending on experience, location, and employer.

What are some typical challenges faced when working in computational spatial transcriptomics, and how can new team members prepare for them?

Professionals in computational spatial transcriptomics often encounter challenges related to handling and analyzing large, complex datasets that combine spatial and gene expression information. Integrating data from different technologies and ensuring data quality can be demanding, requiring strong programming skills and familiarity with bioinformatics pipelines. New team members can prepare by strengthening their skills in statistical analysis, programming languages like Python or R, and staying updated on the latest spatial transcriptomics techniques. Collaborating closely with experimental biologists and data scientists is also key to overcoming these challenges and driving successful research outcomes.

What is the difference between Computational Spatial Transcriptomics vs Computational Biologist?

AspectComputational Spatial TranscriptomicsComputational Biologist
Required CredentialsAdvanced degrees in bioinformatics, computational biology, or related fields; experience with spatial data analysisTypically a PhD or Master's in biology, bioinformatics, or related disciplines; strong programming skills
Work EnvironmentResearch labs, biotech companies, academic institutions focusing on spatial genomicsResearch institutions, biotech firms, academia working on biological data analysis
Industry UsageSpecialized in spatial transcriptomics techniques and data interpretationBroad biological data analysis across various fields

Computational Spatial Transcriptomics focuses on analyzing spatial gene expression data within tissues, requiring specialized skills in spatial data processing. In contrast, Computational Biologists work on a wider range of biological data types. While both roles involve bioinformatics expertise, the former emphasizes spatial data analysis techniques specific to transcriptomics.

What is computational spatial transcriptomics?

Computational spatial transcriptomics is a field that combines advanced computational methods with spatial transcriptomics, a technique that measures gene expression within the physical context of tissue samples. It involves processing and analyzing large datasets to map where specific genes are active within tissues, helping researchers understand how cells interact and function in their native environments. This approach is crucial for studies in developmental biology, cancer research, and neuroscience, as it provides insights into cellular organization and tissue architecture. Computational tools help extract meaningful patterns from complex data, enabling discoveries that were previously impossible with traditional methods.

What are the key skills and qualifications needed to thrive as a Computational Spatial Transcriptomics Scientist, and why are they important?

To excel in Computational Spatial Transcriptomics, you need a strong background in bioinformatics, genomics, and statistical data analysis, typically supported by advanced degrees in computational biology or related fields. Familiarity with programming languages (such as R and Python), spatial transcriptomics platforms (like 10x Genomics Visium), and high-throughput sequencing data analysis tools is essential. Strong problem-solving skills, attention to detail, and effective communication are crucial soft skills for interpreting complex datasets and collaborating with multidisciplinary teams. These competencies ensure accurate data interpretation, innovative research, and successful integration of spatial transcriptomics insights into biological and clinical applications.
What are popular job titles related to Computational Spatial Transcriptomics jobs in Brooklyn, NY? For Computational Spatial Transcriptomics jobs in Brooklyn, NY, the most frequently searched job titles are:
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What cities near Brooklyn, NY are hiring for Computational Spatial Transcriptomics jobs? Cities near Brooklyn, NY with the most Computational Spatial Transcriptomics job openings:
Postdoctoral Fellow-MSH-30025-250

Postdoctoral Fellow-MSH-30025-250

Mount Sinai Hospital

Manhattan, NY • On-site

$53K - $73K/yr

Full-time

Posted 15 days ago


Mount Sinai rating

7.8

Company rating: 7.8 out of 10

Based on 283 frontline employees who took The Breakroom Quiz

132nd of 885 rated healthcare providers


Job description


The Izzo Lab (Laboratory of Clonal Evolution and Molecular Epigenetics of Cancer) at the Icahn School of Medicine at Mount Sinai is seeking a highly motivated Postdoctoral Fellow in Bioinformatics to join our team. Our research focuses on uncovering the fundamental mechanisms driving the onset, therapy resistance, and progression of hematological malignancies, with a particular emphasis on clonal evolution, genetic heterogeneity, and epigenetic plasticity. We develop and apply cutting-edge single-cell sequencing technologies (including multi-omic approaches integrating genomics, transcriptomics, and epigenomics) to directly profile patient samples. This work aims to map genotype-to-phenotype relationships, understand how somatic mutations drive epigenetic deregulation, and identify vulnerabilities that can be targeted to overcome therapy resistance and improve patient outcomes. The successful candidate will play a central role in the computational analysis of large-scale single-cell datasets from ongoing projects in blood cancers (e.g., myeloproliferative neoplasms, MDS, and leukemia). This is an outstanding opportunity for a computational scientist interested in translational cancer research within a dynamic, collaborative, and highly supportive environment at the Tisch Cancer Institute and Center for Advancement of Blood Cancer Therapies (CABCT).
Responsibilities
  • Perform advanced bioinformatics analysis of single-cell multi-omic data (scRNA-seq, scATAC-seq, multiome, CITE-seq, and emerging spatial/single-cell technologies), including quality control, integration, clustering, trajectory inference, and differential analysis.
  • Develop and apply custom computational methods or pipelines to study genetic heterogeneity, clonal evolution, somatic mutation effects, and epigenetic regulation (e.g., chromatin accessibility, gene regulatory networks, and plasticity).
  • Integrate multi-modal datasets with clinical and functional data to generate biological insights and hypotheses.
  • Collaborate closely with wet-lab team members on experimental design, data interpretation, and validation.
  • Contribute to manuscript preparation, grant writing, and presentation of findings at conferences.
  • Mentor junior lab members and participate in lab meetings and journal clubs.

Qualifications
  • Ph.D. (or M.D./Ph.D.) in Bioinformatics, Computational Biology, Genomics, Biostatistics, or a closely related field.
  • Strong expertise in single-cell sequencing analysis, with demonstrated experience in R/Bioconductor and/or Python (e.g., Seurat, Scanpy, ArchR, Signac, or similar tools).
  • Proficiency in handling large-scale genomic datasets, statistical modeling, machine learning (optional but a plus), and high-performance computing (e.g., SLURM clusters).
  • Familiarity with cancer biology, epigenetics, or clonal evolution is highly desirable.
  • Excellent communication skills, ability to work independently and in teams, and a track record of peer-reviewed publications.
  • Prior experience with hematological malignancies or multi-omic integration is a strong advantage.

What We Offer
  • Competitive salary and benefits, commensurate with experience and NIH guidelines (including subsidized housing options in New York City).
  • Access to state-of-the-art computational resources and core facilities at Mount Sinai.
  • Mentorship from Dr. Franco Izzo and close collaboration with leading investigators in oncology, single-cell genomics, and hematology.
  • Opportunities for career development, including independent projects, grant applications (e.g., K99/R00), and networking within the vibrant Mount Sinai research community.
  • A creative, rigorous, and supportive lab culture focused on high-impact science with translational potential.

How to Apply
Interested candidates should send the following to franco.izzo@mssm.edu (mailto:franco.izzo@mssm.edu)(with the subject line ?Postdoc Bioinformatics Application ? [Your Last Name]?):
  • Cover letter describing research interests, relevant experience, and career goals.
  • Curriculum vitae (CV).
  • Contact information for 2?3 references.
  • One representative publication (PDF).

Applications will be reviewed on a rolling basis until the position is filled. Mount Sinai is an equal opportunity employer; we encourage applications from diverse backgrounds.
SPOC-UAW Local 4100 at Icahn School of Medicine (Post Docs), 824 - Oncological Sciences - ISM, Icahn School of Medicine
About Us
Strength through Unity and Inclusion
The Mount Sinai Health System is committed to fostering an environment where everyone can contribute to excellence. We share a common dedication to delivering outstanding patient care. When you join us, you become part of Mount Sinai's unparalleled legacy of achievement, education, and innovation as we work together to transform healthcare. We encourage all team members to actively participate in creating a culture that ensures fair access to opportunities, promotes inclusive practices, and supports the success of every individual.
At Mount Sinai, our leaders are committed to fostering a workplace where all employees feel valued, respected, and empowered to grow. We strive to create an environment where collaboration, fairness, and continuous learning drive positive change, improving the well-being of our staff, patients, and organization. Our leaders are expected to challenge outdated practices, promote a culture of respect, and work toward meaningful improvements that enhance patient care and workplace experiences. We are dedicated to building a supportive and welcoming environment where everyone has the opportunity to thrive and advance professionally. Explore this opportunity and be part of the next chapter in our history.
About the Mount Sinai Health System:
Mount Sinai Health System is one of the largest academic medical systems in the New York metro area, with more than 48,000 employees working across eight hospitals, more than 400 outpatient practices, more than 300 labs, a school of nursing, and a leading school of medicine and graduate education. Mount Sinai advances health for all people, everywhere, by taking on the most complex health care challenges of our time - discovering and applying new scientific learning and knowledge; developing safer, more effective treatments; educating the next generation of medical leaders and innovators; and supporting local communities by delivering high-quality care to all who need it. Through the integration of its hospitals, labs, and schools, Mount Sinai offers comprehensive health care solutions from birth through geriatrics, leveraging innovative approaches such as artificial intelligence and informatics while keeping patients' medical and emotional needs at the center of all treatment. The Health System includes more than 9,000 primary and specialty care physicians; 13 joint-venture outpatient surgery centers throughout the five boroughs of New York City, Westchester, Long Island, and Florida; and more than 30 affiliated community health centers. We are consistently ranked by U.S. News & World Report's Best Hospitals, receiving high "Honor Roll" status, and are highly ranked: No. 1 in Geriatrics, top 5 in Cardiology/Heart Surgery, and top 20 in Diabetes/Endocrinology, Gastroenterology/GI Surgery, Neurology/Neurosurgery, Orthopedics, Pulmonology/Lung Surgery, Rehabilitation, and Urology. New York Eye and Ear Infirmary of Mount Sinai is ranked No. 12 in Ophthalmology. U.S. News & World Report's "Best Children's Hospitals" ranks Mount Sinai Kravis Children's Hospital among the country's best in several pediatric specialties. The Icahn School of Medicine at Mount Sinai is ranked No. 11 nationwide in National Institutes of Health funding and in the 99th percentile in research dollars per investigator according to the Association of American Medical Colleges. Newsweek's "The World's Best Smart Hospitals" ranks The Mount Sinai Hospital as No. 1 in New York and in the top five globally, and Mount Sinai Morningside in the top 20 globally.
Equal Opportunity Employer
The Mount Sinai Health System is an equal opportunity employer, complying with all applicable federal civil rights laws. We do not discriminate, exclude, or treat individuals differently based on race, color, national origin, age, religion, disability, sex, sexual orientation, gender, veteran status, or any other characteristic protected by law. We are deeply committed to fostering an environment where all faculty, staff, students, trainees, patients, visitors, and the communities we serve feel respected and supported. Our goal is to create a healthcare and learning institution that actively works to remove barriers, address challenges, and promote fairness in all aspects of our organization.

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