2027 Future Talent Program - Patient Data Learning - Co-op
Core
Design and build agent-assisted systems to support feasibility assessment and early exploration of phenotypes and clinical profiles in EHR-linked biobanks.
Role type
Co-op student (Master's/PhD) in computational medicine and AI
Builds
Agent-assisted systems for clinical profile exploration and natural language to query translation
Domain
Biomedical informatics, Precision Genetics, Clinical Informatics
Deliverable
production ML models
Required skills
Python, SQL, LLM tuning, agentic system development, software engineering fundamentals, EHR data querying
Preferred skills
NLP, epidemiology, statistical methods, OMOP CDM, medical coding (ICD/SNOMED), Databricks, R/tidyverse, agent reward systems
Technologies
Python, SQL, ibis, Databricks, R, tidyverse
Responsibilities
Design agent-assisted systems for phenotype exploration, customize AI language models for natural language queries, create guardrails and evals for model reliability, assist with feasibility question applications
Seniority
Student (Master's/PhD level)
