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source

Harvard Medical School

Postdoctoral Fellow in Biomedical Informatics and Exposome AI at Harvard Medical School Harvard Medical School in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Harvard Medical School

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Keywords

Computer Science
Data Science
Epidemiology
Biology
Artificial Intelligence
Medical Science
Salud Pública
Exposome
Statistics
ML

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About this position

Harvard Medical School is advertising a Postdoctoral Fellow in Biomedical Informatics in Chirag Patel’s group (Patel Lab) in Boston, Massachusetts.

The project centers on the exposome, multi-omic integration, machine learning, and AI methods for studying disease variation and longitudinal physiology across diverse cohort populations. The lab says the candidate will have access to data ready to analyze and can begin producing research findings and papers from day one.

Eligibility: applicants should hold a Ph.D. or M.D./Ph.D. in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field, with demonstrated experience in large-scale analysis and health-related datasets. Advanced computational skills are required.

Funding: the position is salaried and benefits eligible. Harvard notes that postdoctoral salary depends on years post-PhD, and the successful candidate is expected to apply for fellowship funding.

Application materials: CV, cover letter, and statement of research are required. The posting lists Nichole Parker as the contact person and provides a Harvard Medical School contact email.

Location: Harvard Medical School, Boston, Massachusetts, United States.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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