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Biomedical Data Analyst Jobs in Boston, MA (NOW HIRING)

Amaris Consulting

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

Troubleshoot data transfer and collection issues in collaboration with biomedical teams, IT stakeholders, and internal engineering teams. * Analyze physiological, vital sign, and EMR datasets to ...

F-Prime Capital

Scientific Engagement Manager

Boston, MA · On-site

$130 - $170/hr

Our flagship AI-agentic platform, Polly, helps research teams wrangle, harmonize, and analyze massive volumes of biomedical data- accelerating discoveries and making precision medicine a reality.

System One

Biomedical Engineer

Boston, MA · On-site

$60 - $74.50/hr

Biomedical Engineer Location : Boston, MA Work schedule: Mon - Fri 8am - 5pm Pay Range : $60.00 ... analyze data * Document work clearly, accurately, and with high quality following GDP * Manage work ...

System One

Biomedical Engineer

Boston, MA · On-site

$60 - $74.50/hr

Biomedical Engineer Location : Boston, MA Work schedule: Mon - Fri 8am - 5pm Pay Range : $60.00 ... analyze data * Document work clearly, accurately, and with high quality following GDP * Manage work ...

Massgeneralbrigham

Biomedical Technician Senior

Boston, MA · On-site

$30.21 - $43.16/hr

... analysts to advance our mission. As a not-for-profit, we support patient care, research, teaching ... technical data like electronic circuit diagrams, schematics, and blueprints. - Ability to solve ...

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Biomedical Data Analyst information

See Boston, MA salary details

$36.9K

$89.8K

$147.8K

How much do biomedical data analyst jobs pay per year?

As of Aug 12, 2026, the average yearly pay for biomedical data analyst in Boston, MA is $89,780.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,900.00 and $105,400.00 per year, depending on experience, location, and employer.

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.

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 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 most commonly searched types of Biomedical Data Analyst jobs in Boston, MA? The most popular types of Biomedical Data Analyst jobs in Boston, MA are:
What are popular job titles related to Biomedical Data Analyst jobs in Boston, MA? For Biomedical Data Analyst jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Biomedical Data Analyst jobs in Boston, MA look for? The top searched job categories for Biomedical Data Analyst jobs in Boston, MA are:
What cities near Boston, MA are hiring for Biomedical Data Analyst jobs? Cities near Boston, MA with the most Biomedical Data Analyst job openings:
Biomedical Data Analyst jobs near you
Infographic showing various Biomedical Data Analyst job openings in Boston, MA as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution, with an average salary of $89,780 per year, or $43.2 per hour.

HMS - Postdoctoral Fellow in Biomedical Informatics (HIDIVE Lab)

Harvard University

Cambridge, MA • On-site

$54K - $73K/yr

Full-time

Medical, Vision

Re-posted 7 days ago

Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

80th of 618 rated colleges and universities

Job description

Position
Details
Title
HMS - Postdoctoral Fellow 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 a Postdoctoral Research Fellow in the lab, you will take a scientific leadership role and be in charge of one or more research projects. Under the mentorship of the PI, you will develop and execute strategies for
  • publishing,
  • collaboration, and
  • funding acquisition (grants, industry sponsorship)

to support and disseminate your work. You will also have the opportunity to
  • mentor junior lab members (interns, Master's and PhD students) and
  • Occasionally participate in teaching and outreach.

Research Fellows typically stay in the lab for a period of around 2 - 4 years with the aim of leading a research group as their next career step. Alternative career paths can be supported as well but the primary goal is to prepare Research Fellows for success as an independent researcher in academic or non-profit settings. To achieve your career goals, you will be able to take advantage of career development opportunities offered by the Harvard Medical School Postdoc Office and other Harvard University resources.
Our Research
We are currently looking for postdoctoral researchers who want to contribute to our mission by leading research projects in one or more of the following areas:
  • Generative AI for visual exploration of biomedical data
  • Interfaces for collaboration with AI Co-Scientists
  • Multimodal clinical data visualization, including EHR, imaging, genomics, and clinical trial data
  • Mixed Reality for 2D and 3D tissue data visualization in spatial biology
  • Communication and interactive storytelling through biomedical data visualization
  • Visualization of genome-mapped data (genomics, epigenomics, nucleomics, etc.)
  • Multimodal spatial and single-cell data visualization
  • 2D and 3D bioimaging data visualization
  • 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 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:
  • Doctoral degree in biomedical informatics, computer science, computational biology, data science or a related field.
  • Peer-reviewed publications in the top venues in your area of expertise.
  • Demonstrated ability to work collaboratively across scientific domains.

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
Contact Information
George Bandek
695 Huntington Ave, STE 514
Boston, MA 02115
Contact Email
george_bandek@hms.harvard.edu
Salary Range
This position is salaried and benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines-policies.
Minimum Number of References Required
1
Maximum Number of References Allowed
3
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