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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 engineering, and
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cosmetics in India. The role includes developing and improving analytical protocols, conducting lab and field analyses and training other students and collaborators on analytical approaches. The start date is
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of a data repository and analyzing data across multiple labs in the MAGIC research network. This position offers an excellent opportunity to further analytical and writing skills and to publish
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. General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications. Strong analytical skills and excellent judgment. Ability to maintain detailed
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workflows for data cleaning, linkage, and analysis within Stanford’s secure computing environment. Collaborate with multidisciplinary teams of clinicians, economists, and policy researchers. Prepare
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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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, biostatistics, data science, or a related field are encouraged to apply. A candidate who has recently submitted the PhD thesis or is about to submit the thesis is encouraged to apply. A strong computational
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analytic techniques and approaches to healthcare claims data, like Medicaid data. * Learn from and collaborate with renowned data science and health experts across Stanford on interesting complex projects
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--and synthesize information from diverse sources to produce comprehensive market reports that inform strategic decision-making for Stanford Medicine Catalyst initiatives. Lead and facilitate high-level
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selected set of applicants and short-listed applicants may be called for an interview. Required Qualifications: PhD in economics, statistics, sociology or related data science fields Strong data analytic