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Biomedical Data Analyst Jobs (NOW HIRING)

This role sits at the intersection of data science, regulatory science, and biomedical research. Key Responsibilities: * Develop and execute analytical workflows to process, analyze, and interpret ...

Scientific Data Analyst

Arlington, VA · On-site

$110K - $115K/yr

This role sits at the intersection of data science, regulatory science, and biomedical research. Key Responsibilities: * Develop and execute analytical workflows to process, analyze, and interpret ...

Postdoctoral Fellow

Campus, IL

$47K - $64K/yr

Computational and statistical analysis of genomic and biomedical data (40%) * Development of AI/ML methods and bioinformatics pipelines (30%) * Manuscript preparation, presentations, and grant ...

Postdoctoral Fellow

Nashville, TN · On-site

$47K - $64K/yr

Computational and statistical analysis of genomic and biomedical data (40%) * Development of AI/ML methods and bioinformatics pipelines (30%) * Manuscript preparation, presentations, and grant ...

Data Analyst Sr

Milwaukee, WI · On-site

$84K - $106K/yr

... new knowledge in the biomedical sciences; to provide cutting-edge, interdisciplinary and ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Research Software Engineer

Boston, MA · On-site

$223K/yr

Data analysis and data management infrastructure for biomedical data visualization Our Resources The HIDIVE Lab participates in large-scale collaborative projects such as: * NIH Human Biomolecular ...

Data Analyst Sr

Milwaukee, WI · On-site

$84K - $106K/yr

... new knowledge in the biomedical sciences; to provide cutting-edge, interdisciplinary and ... Data Analyst Sr Qualifications Data Analyst Sr Additional Information All your information will be ...

Research Software Engineer

Boston, MA · On-site

$223K/yr

Data analysis and data management infrastructure for biomedical data visualization Our Resources The HIDIVE Lab participates in large-scale collaborative projects such as: * NIH Human Biomolecular ...

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Biomedical Data Analyst information

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How much do biomedical data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for biomedical data analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a biomedical data analyst?

A Biomedical Data Analyst is responsible for collecting, processing, and analyzing medical and biological data to derive insights that support research, clinical decision-making, and healthcare innovations. They work with large datasets, applying statistical and machine learning techniques to interpret complex biological information. These professionals collaborate with scientists, healthcare providers, and policymakers to enhance patient outcomes and streamline medical processes. Strong skills in data science, programming (e.g., Python, R), and domain knowledge in biology or medicine are essential for success in this role.

What are the typical daily responsibilities of a biomedical data analyst?

As a Biomedical Data Analyst, your daily responsibilities often include gathering, cleaning, and analyzing large sets of biological or healthcare data to identify patterns, trends, or correlations. You may work closely with clinicians, researchers, or IT specialists to define data requirements, create reports, and present findings in a clear, actionable format. Collaborating with cross-functional teams, developing predictive models, and ensuring data quality and security are also common aspects of the role. Most Biomedical Data Analysts work in a research, hospital, biotech, or academic environment where attention to detail and the ability to communicate technical information to non-technical stakeholders are important.

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

To thrive as a Biomedical Data Analyst, you need a solid background in biological sciences, statistics, and data analysis, often supported by a bachelor's or master's degree in a relevant field. Expertise in programming languages like Python or R, experience with databases and statistical tools, and familiarity with healthcare data systems like EHRs are highly valuable, as are certifications such as SAS or data analytics credentials. Strong critical thinking, attention to detail, and effective communication skills enable you to interpret complex data and collaborate with multidisciplinary teams. These competencies allow you to accurately analyze biomedical data, generate actionable insights, and support evidence-based decision-making in healthcare and research environments.

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What are the most commonly searched types of Biomedical Data Analyst jobs?

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Infographic showing various Biomedical Data Analyst job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

HMS - Associate in Biomedical Informatics (HIDIVE Lab)

Cambridge, MA • On-site

Harvard University
Colleges, Universities, and Professional Schools • 51 - 200 employees

$65K - $75K/yr

Full-time

Re-posted 8 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz


Job description

Position
Details
Title
HMS - Associate in Biomedical Informatics (HIDIVE Lab)
School
Harvard Medical School
Department/Area
Position Description
Our Lab
Join our team of researchers, engineers, and designers to shape a future in which humans and AI collaborate to solve the most challenging biological and medical problems!
The HIDIVE Lab in the Department of Biomedical Informatics at Harvard Medical School is conducting research at the interface human and artificial intelligence. We create methods and tools that enable humans and machines alike to interact with and generate insights from biomedical data. In our work, we combine state-of-the-art biomedical informatics, data visualization, and AI/ML techniques across the full spectrum of biomedical data. An overview of recent publications of the lab can be found on Google Scholar.
We value diverse viewpoints, creative thinking, and bold initiative in a highly collaborative and interdisciplinary work environment. The HIDIVE Lab has an international reputation for creating high impact data visualization tools and we are driven to solve the most challenging design and engineering problems where biomedical data, humans, and AI meet. We would love to have you on our team!
Your Role
As an Associate in the lab, you will be part of our research team and contribute one or more of the following skills to HIDIVE Lab projects:
  • research and methods development
  • software engineering, and visualization, user interface, or user experience design
  • data collection, management, and analysis
  • academic writing

You will work under the mentorship of the PI, postdoctoral fellows, or other senior lab members.
Our Resources
The HIDIVE Lab participates in large-scale collaborative projects such as
  • NIH Human Biomolecular Atlas Program (HuBMAP)
  • NIH Cellular Senescence Network (SenNet)
  • NIH Kidney Precision Medicine Network (KPMP)
  • NIH Common Fund Data Ecosystem (CFDE)
  • APRA-H Biomedical Data Fabric (BDF)
  • Human Cell Atlas (HCA)
  • NIH 4D Nucleome Consortium (4DN).

Through these projects, we have access to a large number of data sets across many data modalities as well as large user audiences and collaborators who are leading experts in their biomedical domains. We are also working with many individual collaborators at Harvard and beyond, who bring their computational, data science, and biomedical expertise to our projects.
Our work also benefits from multiple research software products (e.g., HiGlass, Vitessce, Gosling, HuBMAP Data Portal User Interface, etc.) that the HIDIVE Lab has developed and maintains through a team of engineers and designers. These products are used by individual scientists, consortia, and companies all over the world and can serve as a framework to implement and disseminate the outcomes of our research.
Basic Qualifications
The minimum qualifications for this role are:
  • Bachelor or Masters degree in biomedical
    informatics, computer science, computational
    biology, data science or a related field.
  • Prior research experience (internships, research
    assistantships) and contributions to scientific
    projects involving computational work.

Additional Qualifications
If visa sponsorship is needed, Harvard retains the discretion to determine which visa status is appropriate and whether a visa sponsorship application will ultimately be submitted, including payment of any applicable fees.
Special Instructions
With this appointment, you are represented by the Harvard Academic Workers (HAW) - UAW for purposes of collective bargaining and matters affecting your compensation and working conditions.
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
$65,000 - $75,000
Minimum Number of References Required
Maximum Number of References Allowed
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