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Biomedical Data Science Jobs in New York (NOW HIRING)

Mount Sinai Hospital

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 ...

Mount Sinai Hospital

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 ...

Mount Sinai Hospital

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 ...

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All JobsBiomedical Data Science JobsBiomedical Data Science Jobs in New York

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 Jul 31, 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 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.

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 are the key skills and qualifications needed to thrive as a Biomedical Data Scientist, and why are they important?

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.
What are popular job titles related to Biomedical Data Science jobs in New York? For Biomedical Data Science jobs in New York, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Science jobs in New York look for? The top searched job categories for Biomedical Data Science jobs in New York are:
Biomedical Data Science jobs near you
Infographic showing various Biomedical Data Science job openings in New York as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $121,576 per year, or $58.5 per hour.

Project Data Scientist (Grant Funded, Time Limited)

Hofstra University

Hempstead, NY • On-site

$66K - $68K/yr

Full-time

Retirement, PTO

Posted 19 days ago

Job description

Position Details
Position Information
About Hofstra
Hofstra University is nationally ranked and recognized as Long Island's largest private university located in Hempstead, N.Y. When you work at Hofstra, you join a team of talented professionals committed to preparing students for the challenges of tomorrow, in an environment that cultivates learning through the free and open exchange of ideas for the betterment of humankind. The work we do at Hofstra supports the education and well-being of our students, and the workforce of the future. While working towards this mission, employees can take advantage of many enriching experiences on campus. Whether it's a lunchtime lecture, a Division I NCAA athletics game, a musical concert, a theatre performance, or a visit to one of our two accredited museums, there is always something exciting to do at Hofstra. Enjoy the ease of going to the fitness center, taking a swim, or grabbing a bite to eat without having to leave our beautiful campus! Hofstra University is dedicated to recruiting and retaining a highly qualified and diverse academic community of students, faculty, staff, and administrators respectful of the contributions and dignity of each of its members. We welcome applications from individuals of all backgrounds and experiences and are committed to building a diverse and inclusive community.
Position Title
Project Data Scientist (Grant Funded, Time Limited)
Position Number
896283
Position Category
Administration
School/Division
School of Engineering
Department
Full-Time or Part-Time
Full-Time
Description
The Project Data Scientist supports an NSF-funded research project focused on developing and analyzing a biomedical knowledge graph, integrating FDA regulatory data, ClinicalTrials.gov records, and medical device design and simulation data. The position involves data ingestion, transformation, analysis, and deployment of computational workflows that support knowledge graph construction, AI-assisted querying, and interdisciplinary biomedical research. This is a full-time, grant-funded, time-limited position.
Responsibilities include, but are not limited to:
  • Develops and maintains data pipelines to ingest, clean, and integrate data from FDA databases, ClinicalTrials.gov, and internal research datasets.
  • Transforms structured and semi-structured biomedical data into machine-readable formats (RDF/Turtle, JSON-LD) for knowledge graph construction.
  • Implements, tests, and optimizes SPARQL queries and analytics using semantic web technologies such as Apache Jena.
  • Supports deployment and maintenance of project applications on virtual machines and containerized environments (Docker), in collaboration with systems administration personnel.
  • Assists with data validation, quality assurance, and documentation of computational workflows.
  • Collaborates with faculty, students, and external research partners on data science and knowledge graph-related research tasks.
  • Contributes to technical documentation, progress reports, and dissemination materials required by the funding agency.
  • Performs other related duties as assigned.

Qualifications
  • Bachelor's degree in Computer Science, Data Science, Engineering, or a closely related field.
  • 0-1 year of relevant experience, or equivalent academic, research, or project-based experience.
  • Demonstrated experience with data analysis, data pipelines, or software development.
  • Proficiency in at least one programming language such as Python.
  • Experience working with structured datasets (CSV, JSON).
  • Ability to work independently and collaboratively in a research environment.

Preferred Qualifications
  • Master's degree in Computer Science, Data Science, Engineering, or a related discipline.
  • Experience with knowledge graphs, semantic web technologies, RDF, and SPARQL.
  • Familiarity with biomedical or regulatory datasets (FDA, ClinicalTrials.gov, NLM).
  • Experience with Linux environments, virtual machines, or containerization tools (Docker).
  • Interest in biomedical engineering, health data analytics, or AI-assisted data analysis.

Special Instructions
Deadline
Date Posted
07/12/2026
EEO Statement
Hofstra University is an equal opportunity employer and is committed to extending equal opportunity in employment to all qualified individuals without regard to race, color, religion, sex, sexual orientation, gender identity or expression, age, national or ethnic origin, physical or mental disability, marital or veteran status or any other characteristic protected by law.
Salary/Salary Range
$66,000-$68,000
Additional Information
Hofstra University provides the above salary* as a good faith estimate of the starting pay range which considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience and education. In addition to the salary offered, we offer a collegial and inclusive culture, and a benefits program which includes generous paid time off, paid holidays, tuition remission for employees and eligible dependents, and a retirement plan with University contributions.
*Salary ranges indicated for positions covered under a Collective Bargaining Agreement are in accordance with the CBA.

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