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

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 ... data * Document work clearly, accurately, and with high quality following GDP * Manage work as part ...

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 ... data * Document work clearly, accurately, and with high quality following GDP * Manage work as part ...

Bachelor's degree in Computer Science, Engineering, a related technical field, or equivalent ... Deep experience with Trusted Research Environments (TREs), biomedical data analysis, or healthcare ...

New

Senior Quality Engineer

Billerica, MA · On-site

$94K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and ... Analyze data and generate reports to identify trends and to draw effective conclusions. * Generate ...

Senior Quality Engineer

Norwood, MA

$100K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and ... Analyze data and generate reports to identify trends and to draw effective conclusions. * Generate ...

Senior Quality Engineer

Billerica, MA

$94K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Nova Biomedical: One Global Brand. One Vision. Together under one name. Advanced Instruments and ... Analyze data and generate reports to identify trends and to draw effective conclusions. * Generate ...

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Biomedical Data Engineer information

See Boston, MA salary details

$17

$68

$95

How much do biomedical data engineer jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for biomedical data engineer in Boston, MA is $68.42, according to ZipRecruiter salary data. Most workers in this role earn between $58.22 and $77.02 per hour, depending on experience, location, and employer.

What is a biomedical data engineer?

A Biomedical Data Engineer is a professional who designs, develops, and maintains systems for collecting, storing, and analyzing biomedical data. They work at the intersection of healthcare and technology, collaborating with researchers, clinicians, and IT specialists to ensure that medical data is accessible, accurate, and secure. Their work supports medical research, diagnostics, and the development of healthcare solutions by leveraging large datasets, machine learning, and advanced analytics. Biomedical Data Engineers often use programming languages, database management, and data processing tools to handle complex health data from various sources.

What are the key skills and qualifications needed to thrive as a biomedical data engineer, and why are they important?

To thrive as a Biomedical Data Engineer, you need strong programming skills (e.g., Python, R), a background in biomedical sciences or bioinformatics, and experience with data modeling and analysis. Familiarity with big data frameworks, cloud platforms, and tools like SQL, Hadoop, and machine learning libraries, as well as relevant certifications, is commonly required. Excellent problem-solving abilities, attention to detail, and effective collaboration with cross-functional teams help you stand out in this role. These skills enable accurate analysis and integration of complex biomedical data, supporting critical healthcare research and innovation.

What are some common challenges faced by biomedical data engineers when integrating clinical data from multiple sources?

Biomedical Data Engineers often encounter challenges related to data heterogeneity when integrating clinical information from diverse sources such as electronic health records, medical imaging systems, and genomic databases. These sources may use different formats, standards, and terminologies, making data cleaning and normalization a complex task. Additionally, ensuring patient privacy and compliance with healthcare regulations adds another layer of complexity. Collaborating with clinicians, data scientists, and IT teams is essential to address these challenges and ensure data is usable for research and decision-making.

What is the difference between Biomedical Data Engineer vs Biomedical Data Analyst?

AspectBiomedical Data EngineerBiomedical Data Analyst
Required CredentialsBachelor's or Master's in Bioinformatics, Computer Science, or related fields; experience with data engineering toolsBachelor's or Master's in Biology, Bioinformatics, or related fields; proficiency in data analysis and visualization
Work EnvironmentDevelops data pipelines, manages databases, and ensures data infrastructure for research and healthcareAnalyzes datasets, creates reports, and interprets data for research or clinical decision-making
Employer & Industry UsageResearch institutions, biotech companies, healthcare providersHospitals, research labs, biotech firms, healthcare organizations

While both roles work with biomedical data, Biomedical Data Engineers focus on building and maintaining data infrastructure, whereas Biomedical Data Analysts interpret and analyze data to support research and clinical decisions.

What are popular job titles related to Biomedical Data Engineer jobs in Boston, MA?

For Biomedical Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Biomedical Data Engineer jobs in Boston, MA look for?

The top searched job categories for Biomedical Data Engineer jobs in Boston, MA are:

What cities near Boston, MA are hiring for Biomedical Data Engineer jobs?

Cities near Boston, MA with the most Biomedical Data Engineer job openings:

Infographic showing various Biomedical Data Engineer job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $142,319 per year, or $68.4 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 14 days ago


Harvard University rating

8.5

Company rating: 8.5 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

79th of 619 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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