Biomedical Informatics Research Associate - Exposome & AI

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

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.