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environment spanning the Department of Biostatistics, the Brown Data Science Institute, and interdisciplinary collaborators at Harvard University, Fred Hutch Cancer Center, and across clinical and public health
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, Python, and SAS or Stata) • Demonstrated expertise in causal inference and high-dimensional risk adjustment/predictive modeling, experience with Medicare claims data • Clear scientific writing and
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, representation learning) Spatiotemporal modeling or geospatial/temporal data analysis Medium-to-Large-scale foundation models pretraining/fine-tuning paradigms Strong programming skills in Python and experience
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