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Computational Spatial Transcriptomics Jobs in New York, NY

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Computational Spatial Transcriptomics information

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How much do computational spatial transcriptomics jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for computational spatial transcriptomics in New York, NY is $60.09, according to ZipRecruiter salary data. Most workers in this role earn between $51.30 and $80.48 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 New York, NY?

For Computational Spatial Transcriptomics jobs in New York, NY, the most frequently searched job titles are:

What job categories do people searching Computational Spatial Transcriptomics jobs in New York, NY look for?

The top searched job categories for Computational Spatial Transcriptomics jobs in New York, NY are:

What cities near New York, NY are hiring for Computational Spatial Transcriptomics jobs?

Cities near New York, NY with the most Computational Spatial Transcriptomics job openings:

Postdoctoral Fellow-MSH-13400-339

Mount Sinai Hospital

Manhattan, NY • On-site

$53K - $73K/yr

Full-time

Re-posted 2 days ago


Mount Sinai rating

7.8

Company rating: 7.8 out of 10

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Job description


Postdoctoral Fellow
Seaver Autism Center for Research and Treatment
Department of Psychiatry
Icahn School of Medicine at Mount Sinai
Position Overview:
The team of Xuran Wang, PhD, at the Seaver Autism Center for Research and Treatment in the Department of Psychiatry at the Icahn School of Medicine at Mount Sinai in New York, is seeking a motivated, creative, and dynamic postdoctoral fellow with expertise in biostatistics/bioinformatics to study the single-cell transcriptomics and multi-omics data with a focus on method development for neuropsychiatric diseases, such as autism spectrum disorder (ASD).
Research Focus:
Dr. Wang's research bridges statistical genomics, computational biology, and neuroscience. The lab is committed to developing and applying advanced statistical, computational, and machine-learning methods to decode genomic, transcriptomic, and phenotypic data. Current projects include methodological advancements for single-cell CRISPR data and spatial transcriptomics.
For more about our scientific interests and publications, please visit Dr. Wang's Research page: https://xuranw.github.io/.
Appointment Details:
  • Term: 1-year initial appointment starting January 1, 2025, with a strong preference for renewal up to an additional 1-2 years, contingent upon performance and availability of funding.
  • Location: Icahn School of Medicine at Mount Sinai, 1399 Park Avenue, Manhattan, New York.

Preferred Qualifications:
  • Experience in genetics, genomics, and psychiatric disorder data analysis.

Research Opportunities:
  • Conduct cutting-edge research with a strong translational impact on neurodevelopmental disorders.
  • Learn and conduct research with novel statistical and computational algorithms.
  • Engage with the vibrant and exciting research community of the Seaver Center and the Icahn School of Medicine at Mount Sinai.

Application Process:
Please send a cover letter detailing your research interests, CV, and contact information for three references to Dr. Wang at xuran.wang@mssm.edu
Qualifications:
  • PhD in Statistics, Biostatistics, Bioinformatics, Computational Biology, Applied Mathematics, or equivalent quantitative field.
  • Demonstrated programming expertise (R, Python, etc.).
  • Strong record of publications in peer-reviewed journals.
  • Excellent Communication skills.
  • Ability to collaborate in an interdisciplinary setting.

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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