Associate in Biomedical Informatics — Exposome Research

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

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.