Postdoctoral Fellow in Biostatistics and Health Data Science

Appointment Type

Postdoctoral Fellow

Department

IUSM - Biostatistics

Position Summary

Postdoctoral Researcher to advance research at the intersection of artificial intelligence for healthcare, multimodal data analysis (EHRs, medical imaging, omics, physiological signals, clinical notes), and causal AI (causal inference, discovery, counterfactual reasoning). The successful candidate will collaborate with an interdisciplinary team of computer scientists, biomedical informaticians, clinicians, and public health researchers to develop deployable, trustworthy methods that improve patient outcomes and health system operations.

Key responsibilities include:

• Lead original research in multimodal and causal AI for health; design, implement, and rigorously evaluate algorithms and full pipelines.
• Build reproducible research pipelines and maintain reliable experiment codebases (prefer Python).
• Apply causal inference and discovery frameworks to clinical questions.
• Translate proposed methods and frameworks into real-world clinical workflows.
• Contribute to grant proposals and research reports.