HMS - Research Associate in Biomedical Informatics (Patel Lab)

Harvard University; Boston (MA); On-site; USD 90,000 - 120,000; Full time

Job summary

Harvard University is seeking a Research Associate in Biomedical Informatics for their Patel Lab. This position focuses on gene-by-exposome interactions and therapeutic discovery, requiring a PhD. You will conduct impactful research and work on multi-omic integration and machine learning. Responsibilities include translating data science into clinical applications and producing peer-reviewed publications. The salary ranges from $90K to $120K, and candidates with experience in analyzing large datasets and AI models are encouraged to apply.

Qualifications

• PhD in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field.

Responsibilities

• 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 to enhance data collection, cleaning, and integration processes.
• Produce high-impact peer-reviewed articles and presentations.

Skills

Data Science

Statistics

Computer Science

Epidemiology

Environmental Health

R

Python

Multi-omics integration

Exposure-wide association studies (ExWAS)

Education

PhD in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health or related field

Tools

Statistical software

Job description

HMS - Research Associate in Biomedical Informatics (Patel Lab)

School: Harvard Medical School

Department: Biomedical Informatics

Position: 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 gene‑by‑exposome interactions and therapeutic discovery. The role requires a PhD and involves conducting research in biomedical informatics, multi‑omic integration analytics, and machine learning. You will produce highly impactful research, presenting new innovations in methods and novel findings that inform disease etiology. The exposome is an emerging modality that explains disease variation and impacts humans from single cell to population levels. Candidates with experience in developing approaches to analyze large multi‑modal datasets and deploying next‑generation exposome AI models are encouraged to apply. This position comes with data ready to analyze, allowing you to focus on developing research findings and writing papers from day one.

Responsibilities

• 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 partner universities to enhance data collection, cleaning, and integration processes, ensuring data accuracy and consistency.
• 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 a 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, multi‑omics integration, and exposure‑wide association studies (ExWAS) and GIS preferred.

Salary

$90 K – $120 K

EEO/Non‑Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non‑discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non‑discrimination policy. Harvard’s equal employment opportunity policy and non‑discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.