Postdoctoral Research Position in Biostatistics

The Department of Epidemiology and Biostatistics at UCSF is seeking a highly motivated postdoctoral researcher to join our team. This position offers a unique opportunity to work on cutting-edge problems in statistical methodology, with a particular emphasis on causal inference and information synthesis. Methodological work will be closely linked to applications in cognitive aging research.

The postdoctoral fellow will be co-supervised by Dr. Chiung-Yu Huang and Dr. Fan Xia, whose research spans causal inference, semiparametric theory, survival analysis, and efficient methods for data integration and information synthesis.

Responsibilities:

  • Conduct methodological research in causal inference and data fusion.

  • Collaborate on applied projects with interdisciplinary teams.

  • Prepare publications for peer-reviewed journals and present findings at scientific meetings.

Qualifications:

  • Ph.D. in Statistics, Biostatistics, or a related quantitative field (completed or near completion).

  • Strong background in statistical theory and methods.

  • Proficiency in statistical computing (e.g., R, Python).

  • Excellent communication and collaborative skills.

Appointment Details:

  • Start date: Early 2026

  • Duration: 1 year with the possibility of renewal up to three years.

  • Salary: Commensurate with experience and based on NIH or institutional guidelines.

  • Location: San Francisco, CA

To Apply:

Please send the following to Fan.Xia@ucsf.edu:

  • A cover letter describing your research interests and fit for the position.

  • Curriculum Vitae.

  • Contact information for 2-3 references.

  • Representative publication or writing sample

Applications will be reviewed on a rolling basis until the position is filled. Early submission is encouraged.