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Postdoctoral Fellowship in Smart Health

Job in Los Angeles, Los Angeles County, California, 90079, USA
Listing for: University of California Los Angeles
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 USD Yearly USD 60000.00 YEAR
Job Description & How to Apply Below

Postdoctoral Fellowship in Smart Health

University of California Los Angeles

Requisition Number: JPF
10773

Dr. Jin Zhou, Dr. Hua Zhou, and Dr. Gang Li of the Department of Biostatistics at UCLA are actively seeking a dedicated postdoctoral fellow with robust expertise in AI and statistics with applications to wearable devices, electronic health records, and statistical genetics at the scale of biobanks. The position will focus on methodological and applied work in either one of the two broad, complementary areas:

  • High-dimensional causal mediation and inference using AI methods:
    Developing and applying modern causal and statistical learning approaches for complex, high-dimensional data (e.g., multi-omics, imaging, rich clinical covariates) to understand mechanisms linking exposures, mediators, and health outcomes, with the application to chronic diseases such as diabetes and its complications.
  • AI and time series modeling for wearable device data and other longitudinal health data:
    Designing and evaluating AI-informed methods for long sequence modeling and forecasting of physiological signals (e.g., continuous glucose), integrating these data with electronic health records and other clinical information to support risk prediction, decision support, and adaptive interventions.

The postdoc will join an interdisciplinary team spanning biostatistics, data science, and clinical collaborators. The successful candidate will have substantial protected time for methodological research, as well as opportunities to work with rich real-world datasets and to contribute to collaborative papers and grant proposals.

Responsibilities
  • Develop, implement, and evaluate new statistical and machine learning methods aligned with the two themes above.
  • Lead and co-author manuscripts in statistical, machine learning, and clinical journals.
  • Work closely with clinical and scientific collaborators to translate methods into applied analyses.
  • Present work at conferences and internal seminars; contribute to a collaborative, inclusive research environment.

To apply , please visit: (Use the "Apply for this Job" box below)./JPF
10773

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status. For the complete University of California nondiscrimination and affirmative action policy, see:  Harass Affirm Action

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