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Assistant Professor, Adjunct series

Assistant Professor, Adjunct series

University of California - San FranciscoSan Francisco, CA, United States
30+ days ago
Job type
  • Full-time
Job description

Application Window

Open date : August 4, 2025

Most recent review date : Wednesday, Sep 3, 2025 at 11 : 59pm (Pacific Time)

Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date : Thursday, Feb 4, 2027 at 11 : 59pm (Pacific Time)

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.

Position description

Department of Epidemiology and Biostatistics

University of California, San Francisco

Assistant Professor, Adjunct series

The Department of Epidemiology and Biostatistics, University of California, San Francisco (UCSF) invites applications for a full-time faculty position in the Adjunct series at the Assistant rank. Applicants should have deep expertise bioinformatics, data science, and / or artificial intelligence, and the beginnings of a track record of teaching, collaboration, and independent funding, commensurate with their proposed rank and years of experience. We are particularly interested in candidates with expertise that aligns with the department's strategic initiatives in artificial intelligence and strengths in causal inference.

Context : UCSF is one of the nation's top medical research institutions. The UCSF Department of Epidemiology and Biostatistics is the largest department of its kind in the University of California system, including nearly 30 biostatistics / bioinformatics faculty, and has a strong mission in education, research and clinical activities. The Department teaches, conducts methodology research, and provides expertise to the rest of the university, collaborating with departments in all 4 schools, the Bakar Computational Health Sciences Institute, the Cancer Center, the Clinical and Translational Sciences Institute, and other entities across campus. The Department also participates in teaching medical students, fellows, junior faculty, and students in our master's programs and PhD Program in Epidemiology and Translational Sciences.

Duties : Adjunct faculty members in our department are expected to conduct research funded by extramural sources, be committed to regular and ongoing teaching and mentoring of our students and junior faculty; and to provide university service. There are also opportunities for leadership within the department.

Qualifications : Candidates must have :

  • a doctorate in bioinformatics, biostatistics, data science, or a closely related field;
  • Expertise in methods of electronic health record data analytics and data science;
  • a record of excellence and accomplishment in both methodological and applied research
  • a history of extramural funding, including current or recently awarded extramural funding for research in areas of interest and the ability to provide funding of own salary through extramural and other self-generated funding.
  • Preference will be given to candidates with areas of research compatible with current departmental programs and who have demonstrated early potential to transition to independent research and associated research funding.
  • Faculty with research portfolios relevant to artificial intelligence and data science are particularly encouraged to apply. We seek candidates who will enrich our culture of collaboration.

Please apply online at https : / / aprecruit.ucsf.edu / JPF05725 , with a CV, cover letter, statement of research, statement of teaching, and 3 reference contacts.

For positions that are 51% effort or more :

The posted UC salary scales set the minimum pay determined by rank and step at appointment. See Table 5 . The minimum base salary range for this position is $121,900-$157,900. This position includes membership in the health sciences compensation plan which provides for eligibility for additional compensation.

For positions that are 50% effort or less :

See Table 2 for the salary range for this position. A reasonable estimate for this position is $93,700-$121,400.

Application Requirements

Document requirements

Curriculum Vitae - CV must clearly list current and / or pending qualifications (e.g. board eligibility / certification, medical licensure, etc.).

Cover Letter

Statement of Research

Statement of Teaching

Reference requirements

  • 3 required (contact information only)
  • About UC San Francisco

    As a University employee, you will be required to comply with all applicable University policies and / or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.

    The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected status under state or federal law.

    UCSF is committed to welcoming and serving all people, honoring the dignity of every individual without preference or prejudice, in support of its public mission and in alignment with our PRIDE values and Principles of Community.

    As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.

  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035 : Affirmative Action and Nondiscrimination in Employment
  • Job location

    San Francisco, CA

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