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Assistant or Associate Level Professor - UCSF Institute for Computational Health Sciences

Recruitment Period

Open date: January 3rd, 2017
Last review date: March 3rd, 2017
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: July 3rd, 2018
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.


Assistant or Associate Level Professor
UCSF Institute for Computational Health Sciences

The Institute for Computational Health Sciences (ICHS) at UCSF is looking to recruit faculty member(s) at the Assistant or Associate Professor level. ICHS prefers candidates who have a strong background in clinical informatics, machine learning, and/or network/mathematical modeling with an interest in health research; and to have demonstrated significant achievement or promise in their field. Candidates are required to hold a doctorate degree in informatics, computer science, epidemiology, biostatistics, or a related discipline with demonstrated experience/expertise in informatics, and/or a medical, dental, nursing or pharmacy degree with demonstrated experience/training in informatics. A primary affiliation with ICHS will be provided, along with an academic appointment within a department closely allied with the applicant’s scholarly or clinical expertise. Candidates will be expected to teach and/or mentor graduate and medical students while developing extramurally-sponsored research programs.

About the Institute:
The Institute for Computational Health Sciences (ICHS; is a critical component of a global UCSF initiative in Precision Medicine, which seeks to aggregate and integrate vast, disparate datasets to advance understanding of biological processes, determine mechanisms of disease, and inform diagnosis, prevention, and treatment. Since its formation in 2015, ICHS has established a cohort of 29 affiliated faculty who represent a diverse array of departments drawing from UCSF’s four top-ranked professional schools (Dentistry, Medicine, Nursing and Pharmacy) and Graduate Division; and whose talents are evidenced by a host of honors including 5 National Academy of Medicine members, a National Academy of Sciences member, 2 members of the American Society for Clinical Investigation, 3 NIH Director’s Awards, 2 Sloan Foundation Fellows, an HHMI Faculty Scholar, and MacArthur Foundation Fellow. ICHS investigators employ computational strategies in basic, translational, clinical and population-based biomedical research within the interest areas of biological modeling, precision oncology, clinical informatics, computational neuroscience, computational pharmacology, deep machine learning and data visualization, population precision medicine, and very large data molecular measurements (two featured as Genome Advance of the Month by the National Human Genome Research Institute).

We foster collaborations within the UCSF Medical Center, named among the nation’s premier medical institutions for 15 consecutive years, as well as the statewide UC system, including 5 academic medical centers (Davis, Irvine, Los Angeles, San Diego, San Francisco) comprising UC Health. As Executive Director of Clinical Informatics for UC Health, our ICHS Director works to ensure the integration of all UC Health data into an accessible Clinical Data Warehouse representing more than 15 million patients, and supports our investigators in their efforts to transform this unparalleled wealth of information into advancements in knowledge to improve health.

UC San Francisco 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 apply online at

Job location

San Francisco, CA


Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter

  • Statement of Research

  • Statement of Teaching

  • Statement of Contributions to Diversity (Optional)

  • Misc / Additional (Optional)

Reference requirements
  • 3 references required (contact information only)

How to apply

  1. Create an ApplicantID
  2. Provide required information and documents
  3. If any, provide required reference information
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