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Job ID: 141878

Postdoctoral Research Fellow in Data Science and Precision Medicine
University of California, San Francisco

Date Posted May 13, 2020
Title Postdoctoral Research Fellow in Data Science and Precision Medicine
University University of California, San Francisco
San Francisco, CA, United States
Department Department of Orthopaedic Surgery
Application Deadline Open until filled
Position Start Date Available immediately
  • Post-Doc
  • Orthopedics & Orthopedic Surgery
    Musculoskeletal Medicine
    Medical Informatics & Clinical Epidemiology
    Biomedical Engineering/Biomedical Sciences

Love data? The Department of Orthopaedic Surgery at UCSF is seeking a postdoctoral research fellow interested in Data Science and Bioinformatics.

The Department of Orthopaedic Surgery aims to pioneer musculoskeletal discovery and innovative care to transform lives.

The fellow will work on NIH-funded studies that seek to harness quantitative imaging data to guide patient selection for minimally invasive back pain treatments. He or she will use and develop advanced statistical and machine learning methodologies to analyze existing and to-be-collected patient images (cross-sectional and longitudinal) to construct models of disease prognosis and treatment response. The fellow will join a multidisciplinary team of clinicians and scientists in the Departments of Orthopaedic Surgery, Epidemiology & Biostatistics, and Radiology & Biomedical Imaging.

The successful candidate will benefit from a dynamic learning and research environment that includes access to extensive clinical and basic science resources at UCSF. Numerous opportunities for academic enrichment and collaboration exist within the Clinical & Translational Science Institute, Quantitative Biosciences Institute, the Bakar Computational Health Science Institute, the NSF/industry-funded Center for Disruptive Musculoskeletal Innovation, the Core Center for Musculoskeletal Biology and Medicine, and the Precision Medicine in Rheumatology Center.


  • Ph.D. in data science, biostatistics, informatics, or related field
  • Background in clinical imaging and image analysis
  • Familiarity with biostatistics and machine learning methodologies
  • Strong problem-solving skills, creative thinking, and ability to build new software tools
  • Good communication skills in written and verbal English
  • Documented experience analyzing complex datasets in programming languages such as R and/or Python
  • Successful publication record

How to Apply
Please send your CV, a brief statement of your research interests, and contact information for three references in one PDF document to:

Aaron Fields, Ph.D.
Associate Professor
Department of Orthopaedic Surgery
University of California, San Francisco

Useful links

  • UCSF seeks candidates whose experience, teaching, research, or community service has prepared them to contribute to our commitment to diversity and excellence. 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.

Please reference in your cover letter when
applying for or inquiring about this job announcement.

Contact Information

  • Aaron Fields, Ph.D.
    Orthopaedic Surgery
    University of California, San Francisco
    513 Parnassus Avenue, 001
    Medical Sciences Building
    San Francisco, CA 94143
  • (415) 476-0960


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