HMS - Associate in Biomedical Informatics (Patel Lab)

Harvard University; Harvard (IL); On-site; USD 60,000 - 80,000; Full time

Job summary

Harvard University is seeking an Associate in Biomedical Informatics at the Patel Lab. This role focuses on research in multimodal datasets and the exposome's impact on disease variation. Candidates should have a BS/MS in Data Science or related fields, and skills in large-scale analysis with software like R or Python. The position involves translating data science into clinical applications, designing models, and publishing impactful research. Join a collaborative environment while contributing to cutting-edge biomedical research.

Qualifications

• Demonstrated expertise in large scale analysis and familiarity with health-related datasets.
• Proficiency in statistical software (R, Python, etc.).
• Experience with exposome or environmental data preferred but not required.

Responsibilities

• Translate exposome data science into real-world clinical applications.
• Design exposome foundation models for disease physiology.
• Characterize how an individual’s exposome drives variation in response to pharmaceutical interventions.
• Collaborate with interdisciplinary teams to enhance research processes.
• Produce high-impact peer-reviewed articles and presentations.

Skills

Large scale analysis

Familiarity with health-related datasets

Proficiency in R

Proficiency in Python

Education

BS, MS in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health

Job description

HMS - Associate in Biomedical Informatics (Patel Lab)

Title HMS - Associate in Biomedical Informatics (Patel Lab)

School Harvard Medical School

Department/Area Department of Biomedical Informatics

Chirag Patel’s group in the Department of Biomedical Informatics, Harvard Medical School is seeking an Associate with a focus in Biomedical Informatics for gene-byexposome interactions and therapeutic discovery. Seeking a recent post‑grad or MS level with a desire to research and learn more about biomedical research, multi‑omic integration 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. In this role you will gain experience developing approaches to research and analyze large multimodal datasets, with data ready to analyze you can focus on developing research findings resulting in publication.

• Research and translate exposome data science into real-world clinical applications.
• Help to design exposome foundation models for disease physiology.
• Research and 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 research, 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

• BS, MS in Data Science, Statistics, Computer Science, Epidemiology, Environmental Health, or a related field.
• Demonstrated expertise in large scale analysis and familiarity with health-related datasets.

Additional Qualifications

• 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 but not required. Learn with us!

Special Instructions

• 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.

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.