Patient Data Learning Co-op: AI & EHR Analytics

MSD; Cambridge (MA); On-site; USD 40,000 - 111,000; Full time

Benefits offered by this job

Internship

Job summary

MSD's Future Talent Program in the Data, AI, and Genome Sciences (DAGS) Department offers a six-month co-op in Patient Data Learning, based in Cambridge, MA. You will design and build agent-assisted systems to explore phenotypes and clinical profiles in EHR-linked biobanks, turning questions into machine-generated queries for evaluation.

You will develop guardrails and evals to promote reliability, apply tools to feasibility questions, and collaborate with a multidisciplinary team, gaining

Qualifications

• Currently enrolled in a Master’s program in a biomedical field or related area.
• PhD candidates are encouraged to apply.
• Strong Python/SQL skills and ability to work with EMR/EHR data.

Responsibilities

• Design and build agent-assisted systems to explore phenotypes and clinical profiles.
• Turn scientific questions into machine-generated queries for evaluation.
• Create guardrails and evals to measure model reliability.

Skills

Python

SQL

local LLMs

agent systems

communication

team collaboration

Education

Master's degree in relevant field

PhD encouraged

Tools

Databricks

ibis

Python

Job description

MSD's Future Talent Program in the Data, AI, and Genome Sciences (DAGS) Department offers a six-month co-op in Patient Data Learning, based in Cambridge, MA. You will design and build agent-assisted systems to explore phenotypes and clinical profiles in EHR-linked biobanks, turning questions into machine-generated queries for evaluation.

You will develop guardrails and evals to promote reliability, apply tools to feasibility questions, and collaborate with a multidisciplinary team, gaining