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Affairs. The FY27 minimum is $79, 056. Our research team is seeking a postdoctoral scholar interested in cardiovascular and cardiac surgery outcomes research and predictive analytics using advanced
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methods such as fluorescence and electron microscopy, mass spectrometry, biochemical assays, analytical separations, microbial genetics, and other biophysical and materials-characterization techniques. A
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candidate with experience in data analytics, computation, statistical analyses, and decision-analytic modeling who is interested in health policy and economic evaluation. Prior work in any of the following
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, analyze, and interpret complex datasets. Comprehensive understanding of scientific principles and rigorous experimental or analytical design. Strong general computer skills and ability to quickly learn new
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of COVID-19 under various nonpharmaceutical interventions with defined effects to assess the identifiability of these effects using various data-analytic approaches. The fellows will join a team including
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manuscripts. This position will be mostly computer-based but will have opportunities for field and laboratory measurements and the operation of analytical equipment. In addition, the candidate should be able
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for recent MD and PhD graduates who are passionate about leveraging computational methods to transform trauma and acute care surgery. Fellows will work at the intersection of clinical medicine, data
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Posted on Fri, 01/16/2026 - 15:51 Important Info Faculty Sponsor First name: Sohail Faculty Sponsor Last Name: Husain Other Mentor(s) if Applicable: Olivia Tsai, PhD Stanford Departments and Centers
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identifying structures and processes that promote high quality healthcare. Our projects apply advanced analytical methods to large databases of primarily structured electronic health record data and EHR usage
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harmonized core “menu” of imaging, behavioral, and symptom measures combined with a standardized analytic pipeline applied consistently across studies, enabling biotype-based analyses and cross-project