1

Biomedical Data Science Jobs in New York (NOW HIRING)

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

Postdoctoral Research Fellowship Biomedical Data Science The Kontorovich Laboratory, Cardiovascular Research Institute and Center for Inherited Cardiovascular Diseases Icahn School of Medicine at ...

To qualify you must have a Masters degree in a quantitative discipline (Biomedical Informatics ... machine learning/ data science, or a Bachelor's degree with 5 years of relevant experience.

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... to transform biomedical research and healthcare delivery into a data-driven, evidence-based ... D. in Computer Science, Bioinformatics, Statistics, Computational Biology, or other relevant ...

Postdoctoral Fellow-MSH

Manhattan, NY · On-site

$53K - $73K/yr

... to transform biomedical research and healthcare delivery into a data-driven, evidence-based ... D. in Computer Science, Bioinformatics, Statistics, Computational Biology, or other relevant ...

Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge ... biomedical informatics, applied mathematics, or similar), * 5+ years delivering ML/NLP/GenAI and ...

next page

Showing results 1-20

Biomedical Data Science information

See New York salary details

$26.8K

$121.6K

$213.2K

How much do biomedical data science jobs pay per year?

As of Aug 26, 2026, the average yearly pay for biomedical data science in New York is $121,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,596.00 and $172,190.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a biomedical data scientist?

To thrive as a Biomedical Data Scientist, you need a strong background in statistics, machine learning, programming (typically Python or R), and a solid understanding of biological or clinical data. Familiarity with bioinformatics tools, data visualization platforms, high-throughput sequencing technologies, and relevant certifications (such as in data science or bioinformatics) is commonly required. Strong problem-solving abilities, communication skills, and interdisciplinary collaboration help set top professionals apart in this field. These competencies are crucial for extracting meaningful insights from complex biomedical data, driving research innovation, and supporting evidence-based healthcare decisions.

How does a biomedical data scientist typically collaborate with clinicians and researchers on interdisciplinary projects?

Biomedical Data Scientists often work closely with clinicians, biologists, and other researchers to translate complex biomedical questions into data-driven solutions. This collaboration usually involves regular meetings to understand clinical needs, define project goals, and discuss data interpretation. Effective communication is key, as team members may have different expertise and perspectives. By collaborating, Biomedical Data Scientists help ensure that analytical methods and results are both rigorous and clinically relevant, ultimately contributing to impactful healthcare outcomes.

What is the difference between Biomedical Data Science vs Bioinformatics?

AspectBiomedical Data ScienceBioinformatics
Required CredentialsDegree in Data Science, Biostatistics, or related fields; programming skillsDegree in Bioinformatics, Computational Biology, or related fields; programming skills
Work EnvironmentResearch labs, healthcare institutions, biotech companiesResearch labs, academic institutions, biotech firms
Industry UsageAnalyzing large biomedical datasets, developing predictive modelsAnalyzing biological data, genome sequencing, gene annotation
Search & Comparison IntentHigh overlap in data analysis, healthcare applicationsFocus on biological data interpretation

Biomedical Data Science and Bioinformatics share many skills and work environments, but they differ in focus. Biomedical Data Science emphasizes analyzing large datasets and developing predictive models in healthcare, while Bioinformatics concentrates on biological data analysis, such as genome sequencing. Both roles require programming skills and are vital in biomedical research, but their specific applications and industry terminology vary.

Can you become a biomedical data scientist with a biomedical science degree?

A biomedical data scientist typically has a background in biomedical science combined with skills in data analysis, programming, and statistics. While a biomedical science degree provides a strong foundation, additional training in programming languages like Python or R and experience with data management are often necessary to qualify for such roles.

What does a biomedical data scientist do?

A biomedical data scientist analyzes complex biological and medical data to identify patterns and insights that can improve healthcare and research. They use statistical methods, machine learning, and data visualization tools to interpret data from sources like electronic health records, genomic sequences, and clinical trials, often working in interdisciplinary teams and requiring programming skills in languages such as Python or R.
Infographic showing various Biomedical Data Science job openings in New York as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $121,576 per year, or $58.5 per hour.

Postdoctoral Fellow-MSH

Manhattan, NY • On-site


Mount Sinai Health System
Hospitality Services • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 296 frontline employees who took The Breakroom Quiz

160th of 893 rated healthcare providers

People enjoy working here

Good employer

Recommended by students


$53K - $73K/yr

Full-time

Re-posted 11 days ago


Job description

Roles & Responsibilities:

Postdoctoral Research Fellowship Biomedical Data Science 

The Kontorovich Laboratory, Cardiovascular Research Institute and Center for Inherited Cardiovascular Diseases

Icahn School of Medicine at Mount Sinai 

We are inviting applications for a Postdoctoral Research Fellowship position in biomedical data science with a specific interest in applications to electronic health records (EHRs), genomics and cardiovascular diseases. The postdoctoral fellow will be mentored by Dr. Amy Kontorovich, Associate Professor of Medicine in Cardiology and Genomic Medicine, Cardiovascular Research Institute (CVRI) at the Icahn School of Medicine at Mount Sinai in Manhattan, New York, NY, USA. The Kontorovich Laboratory is a translational group with interlinked research interests related to genetic and genomic associations with a range of cardiovascular diseases. This Postdoctoral Research Fellowship position will focus primarily on using biomedical data science and machine learning methodologies to explore cardiovascular disease phenotypes in the Mount Sinai BioMe Biobank. The Postdoctoral Research Fellow will receive additional mentorship from Dr. Vikas Pejaver (Assistant Professor, Institute for Genomic Health at Mount Sinai), who has expertise in the extraction of genetic disease-related information from EHRs and its integration with genomic, molecular and other clinical data.

This position is funded through a five-year grant from the National Institutes of Health with additional support available to potentially extend in the longer term. The Postdoctoral Fellow will be supported to develop their own research program at the intersection of cardiovascular genetics and data science. There may be additional opportunities to work on curiosity-driven projects, such as internally-funded and structured, grant-funded projects. Data resources include (a) Access to >8 million patient records in the Mount Sinai Data Warehouse and (b) The BioMe Biobank Program with >30,000 patients with whole exome sequencing data linked to longitudinal clinical data. Mount Sinai also houses Minerva, a world-class high-performance computing resource, with specifications that include over 2 petaflops of compute cores and nearly 90 GPU cores, among others.

Requirements:

Candidate requirements include:

       PhD or MD-PhD in Biomedical Informatics, Biomedical Data Science, Clinical Research Informatics, or a related discipline

       Working knowledge of statistical testing and data exploration techniques

       Experience working in high-performance computing environments

       Experience in working with genomic and/or health record data sets

Desired qualifications include:

       Familiarity with standardized vocabularies and ontologies such as UMLS and HPO

       Working knowledge of machine learning algorithms and their implementation

       Working knowledge of natural language processing techniques including transformers and foundational models

       Working knowledge of modern web service and/or software implementation

       Familiarity with HIPAA and data governance in large healthcare systems

All candidates must have strong communication skills, a commitment to methodological rigor, and the ability to work creatively and collaboratively. Please send inquiries to amy.kontorovich@mountsinai.org with "Postdoc position" in the subject and the following materials:

       A complete CV

       A cover letter describing how your training and expertise relate to our research interests

       Contact information for at least 2 references

Information on the Postdoctoral Training Program at Mount Sinai: http://icahn.mssm.edu/education/postdoctoral-training. To learn more about the Icahn School of Medicine at Mount Sinai: http://icahn.mssm.edu.Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and of a wide range of amenities as well as visa sponsorship on a case-by-case basis.

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.

.

Candidate requirements include:

       PhD or MD-PhD in Biomedical Informatics, Biomedical Data Science, Clinical Research Informatics, or a related discipline

       Working knowledge of statistical testing and data exploration techniques

       Experience working in high-performance computing environments

       Experience in working with genomic and/or health record data sets

Desired qualifications include:

       Familiarity with standardized vocabularies and ontologies such as UMLS and HPO

       Working knowledge of machine learning algorithms and their implementation

       Working knowledge of natural language processing techniques including transformers and foundational          models

       Working knowledge of modern web service and/or software implementation

       Familiarity with HIPAA and data governance in large healthcare systems

All candidates must have strong communication skills, a commitment to methodological rigor, and the ability to work creatively and collaboratively. Please send inquiries to amy.kontorovich@mountsinai.org with "Postdoc position" in the subject and the following materials:

       A complete CV

       A cover letter describing how your training and expertise relate to our research interests

       Contact information for at least 2 references

Information on the Postdoctoral Training Program at Mount Sinai: http://icahn.mssm.edu/education/postdoctoral-training. To learn more about the Icahn School of Medicine at Mount Sinai: http://icahn.mssm.edu.Incoming postdoctoral fellows are eligible for affordable Mount Sinai Housing within walking distance of the medical school and of a wide range of amenities as well as visa sponsorship on a case-by-case basis.

The Mount Sinai Health System (MSHS) provides salary ranges that comply with the New York City Law on Salary Transparency in Job Advertisements. The salary range for this role is $72,500.00 - $80,000.00 Annually. Actual salaries depend on a variety of factors, including experience, education, and operational need. The salary range or contractual rate listed does not include bonuses/incentive, differential pay or other forms of compensation or benefits.

Non-Bargaining Unit, J16 - Cardiovascular Research Institute - ISM, Icahn School of Medicine

..

.



What Mount Sinai employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom