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

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.

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 ...

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 ...

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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 11, 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 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:
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.

Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI

Harvard University

Cambridge, MA • On-site

$75K/yr

Full-time

Re-posted 22 days ago


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Job description

Position
Details
Title
Postdoctoral Research Fellow in Statistical Machine Learning and Biomedical AI
School
Harvard T.H. Chan School of Public Health
Department/Area
Biostatistics
Position Description
The Department of Biostatistics at the Harvard T.H. Chan School of Public Health invites applications for a Postdoctoral Research Fellow position in statistics, genetics, and biomedical AI. The lab develops cutting-edge theories, methods, and computational tools for integrating large-scale, heterogeneous biomedical data across multi-institutional research networks, with a focus on the analytical and computational challenges arising in precision medicine, mental health, and biomedical informatics.
The postdoctoral fellow will contribute to projects focused on:
  • Foundation and representation learning for multimodal biomedical data, including electronic health records (EHRs), genomics, imaging, and clinical text to power next-generation precision medicine.
  • Statistical and computational genomics across diverse populations and biobanks for risk prediction, genetic discovery, and genomic medicine.
  • Federated and transfer learning for distributed and privacy-preserving data integration.
  • AI and Deep learning approaches to high-dimensional and multi-modal biomedical data.
  • Causal Inference, Fairness, and Trustworthy AI in real-world healthcare applications.

Our group actively collaborates with large national and international initiatives, including Mass General Brigham, Penn Medicine, Cambridge Health Alliance, PsycheMERGE Network, PCORnet, and OHDSI, providing unique opportunities to work with massive EHR-genomic datasets and multi-site real-world evidence networks.
Basic Qualifications
  • Ph.D. in Statistics, Biostatistics, Computer Science, Statistical Genetics, or a related quantitative field (by the time of appointment).
  • Strong background in statistical or machine learning methodology, optimization, or high-dimensional data analysis.
  • Proficiency in R or Python; experience with deep learning, causal inference, or genetic data analysis is not required but encouraged.
  • Excellent written and verbal communication skills.

Additional Qualifications
Special Instructions
The position is available immediately. The initial appointment is for one year, renewable based on performance and funding. Salary and benefits follow NIH and Harvard guidelines.
Interested applicants should submit a CV, cover letter, and contact information for three references to Dr. Rui Duan (rduan@hsph.harvard.edu). Review of applications will begin immediately and continue until the position is filled.
Contact Information
Rui Duan, Associate Professor, Department of Biostatistics
Contact Email
rduan@hsph.harvard.edu
Salary Range
$75,000
Minimum Number of References Required
3
Maximum Number of References Allowed
Keywords
biostatistics; AI; biomedical informatics; statistics; genetics

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