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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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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.

Hourly Data Analyst

New Jersey Institute of Technology

Newark, NJ • On-site

$15.92 - $20/hr

Other

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

Job description

Title:
Hourly Data Analyst
Department:
Computer Science
Reports To:
Distinguished Professor, Computer Science
Position Type:
Staff
Position Summary:
The Hourly Data Analyst will support an NIH R15-funded biomedical research project under the supervision of Dr. Zhi Wei. The position is intended to provide meaningful undergraduate research experience in biomedical data science, computational biology, and bioinformatics while contributing to approved project aims. The intern will assist with literature review, biological information curation, data analysis, implementation and testing of computational methods ,and preparation of research summaries or presentations.
Essential Functions:
- Conduct literature review related to biomedical data science, computational biology, bioinformatics, and relevant biological background information.
- Collect, organize, and curate prior biological information and publicly available biomedical data relevant to the project.
- Implement, test, and document basic core functions of proposed computational methods under supervision.
- Run baseline methods, software tools, and computational experiments as directed by the supervisor or graduate mentor.
- Assist with simulation of synthetic data and collection, processing, and analysis of real data.
- Contribute to the development and testing of user-friendly research software, scripts, notebooks, or documentation.
- Participate in regular research meetings, provide progress updates, and receive guidance from the PI, co-investigator, and graduate mentor.
- Help prepare research summaries, figures, reports, posters, presentations, or other materials related to the project.
Prerequisite Qualifications:
- Current undergraduate student in computer science, data science, bioinformatics, biology, mathematics, statistics, engineering, or a related field.
- Interest in biomedical research, computational biology, bioinformatics, machine learning, data science, or related areas.
- Ability to work responsibly under supervision, communicate progress, and meet agreed-upon deadlines.
- Strong attention to detail and willingness to learn new scientific and computational concepts.
- At the university's discretion, the education and experience prerequisites may be exempted where the candidate can demonstrate to the satisfaction of the university, an equivalent combination of education and experience specifically preparing the candidate for success in the position.
Preferred Qualifications:
- Prior coursework or experience in programming, data analysis, algorithms, statistics, machine learning, biology, genetics, genomics, or bioinformatics.
- Experience with Python, R, Linux/command line, Git/GitHub, Jupyter notebooks, or similar tools is helpful but not required.
- Prior research experience is helpful but not required.
Salary Information:
In compliance with the NJ Pay Transparency Law, the hourly rate/range for this position is $15.92-$20.00 (USD). NJIT considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/training, key skills, internal peer equity, as well as, market and organizational considerations when extending an offer. This pay range represents base pay only and excludes any additional items such as incentives, bonuses or other items.
FLSA:
Non-Exempt
Part-Time

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