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Biomedical Informatics Data Scientist Jobs (NOW HIRING)

This role is embedded within NCI's Center for Biomedical Informatics and Information Technology ... Partner with data scientists, bioinformaticians, researchers, developers, and government ...

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As of Sep 10, 2026, the average yearly pay for biomedical informatics data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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Infographic showing various Biomedical Informatics Data Scientist job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

HMS - Research Associate in Biomedical Informatics (Patel Lab)

Cambridge, MA • On-site

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

$90K - $120K/yr

Full-time

Re-posted 25 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 - Research Associate in Biomedical Informatics (Patel Lab)
School
Harvard Medical School
Department/Area
Biomedical Informatics
Position Description
Chirag Patel's group in the Department of Biomedical Informatics, Harvard Medical School, is seeking a Research Associate with a focus in Biomedical Informatics for geneby-exposome interactions and therapeutic discovery. Seeking an individual with a PhD to conduct research in the
area of biomedical informatics, multi-omic integratoin analytics and machine learning. In this role you will produce highly impactful biomedical informatics research that presents new innovations in methods and novel findings that inform disease etiology. The exposome is a promising and emerging modality to explain disease variation (papers in press in Nature Medicine) that impacts humans on all levels: from the single cell to populations, providing a rich substrate to do novel work. Candidates with experience in developing approaches to research and analyze large multi-modal datasets and who wish to deploy the next generation of exposome AI models are highly encouraged to apply. This position comes with data ready to analyze, and you can focus on developing research findings and writing papers from day 1.
Responsibilities include:
  • Research and translate exposome data science into real-world clinical applications.
  • Independently research and design exposome foundation models for disease physiology.
  • Characterize how an individual's exposome drives variation in response to pharmaceutical intervention.
  • Collaborate with interdisciplinary teams across Harvard (HSPH, HMS) and at partner universities to enhance data collection, cleaning, and integration processes, ensuring data accuracy and consistency.
  • Produce engineering outputs, including databases, application programming interfaces, apps.
  • Produce high-impact peer-reviewed articles, and presentations for academic and non-academic audiences.

Basic Qualifications
PhD in Data Science, Statistics, Computer Science,
Epidemiology, Environmental Health, or related field.
Additional Qualifications
  • Demonstrated expertise in large scale analysis and familiarity with health-related datasets.
  • Proficiency in statistical software (R, Python, etc.), and working knowledge of data management protocols.
  • Experience with exposome or environmental data, multiomics integration, and exposure-wide association studies (ExWAS) and GIS preferred

Special Instructions
Required documents:
  • Curriculum Vitae
  • Statement of Research for PhD work
  • Cover Letter describing your interest in the lab and initial ideas for new research directions or projects you could undertake in the lab.
  • Note with names and contact information for three people who have agreed to serve as your reference

Please submit application documents through the ARIeS portal.Selected candidates will be invited for in-person interviews involving a research presentation on past work.
Expected Dates
  • Duration: This is a one-year term position from the date of hire, with the possibility of extension, contingent upon work performance, business need, and continued funding to support the position.

Contact Information
Nichole Parker
10 Shattuck St
Boston, MA 02115

Contact Email
nichole_parker@hms.harvard.edu
Salary Range
$90K-$120K
Minimum Number of References Required
3
Maximum Number of References Allowed
3
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