About the role#
The Patient Data Learning group within the Data, AI, and Genome Sciences department is seeking a co-op student for a six-month project. This role focuses on computational work within EHR-linked biobanks to help you develop professional skills while contributing to our team.
What you'll do#
- Design and build agent-assisted systems to support feasibility assessments and explore patient clinical profiles.
- Customize AI language models to convert scientific questions into machine-generated queries.
- Develop guardrails and evaluation methods to measure the reliability of models and agents.
- Apply these tools and technologies to answer specific feasibility questions.
What you'll need#
- Current enrollment in a Master's degree program in Clinical Informatics, Epidemiology, Computational Medicine, Biomedical Informatics, Biostatistics, Computer Science, or a related field. PhD students are encouraged to apply.
- Proficiency in Python and SQL.
- Experience with software and agent development practices, including version control, packaging, and testing.
- Computational fundamentals, such as the ability to run and tune local LLMs and build agentic systems.
- Applied knowledge or a strong interest in querying structured EMR/EHR data to build cohorts or report statistics.
- Strong analytical ability, communication skills, and the capacity to work in a collaborative team environment.
Location & details#
- This position is based in Cambridge, Massachusetts.
- The role is full-time for a duration of 6 months during 2027-2028.
- This is an on-site position.
About MSD
MSD is a pharmaceutical manufacturing company founded in 1891. It develops medicines and vaccines for both humans and animals. The organization operates globally and maintains its headquarters in Rahway, New Jersey. It employs over 39,000 people.
How to get in at MSD
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