Department of Epidemiology and Biostatistics Faculty Position – Epidemiology Assistant or Assoc[...]

University of California, San Francisco; San Francisco (CA); On-site; USD 93,900 - 189,500; Full time

Job summary

University of California, San Francisco (UCSF) seeks a Faculty Member for a Faculty Position – Epidemiology Assistant or Associate Professor in the Department of Epidemiology and Biostatistics. The appointee will lead an independent, extramurally funded research program, teach methods of clinical and epidemiologic research, and mentor trainees across professional and graduate levels.

The role emphasizes publishing in predictive analytics, experience with electronic medical records informatics,

Qualifications

• Doctorate-level professional degree in a relevant clinical field or equivalent.
• Graduate training in epidemiology, public health, informatics, or related field.
• Strong publication record in predictive analytics for clinical decision-making.
• Experience teaching predictive analytics to varied audiences.
• Evidence of applied research in predictive analytics and healthcare delivery.

Responsibilities

• Lead an independent, extramurally funded research program.
• Participate in formal instruction for professional and graduate students.
• Provide project-specific and career mentoring to trainees.
• Contribute to departmental and university service.

Skills

Independent research program

Teaching epidemiology

Teaching predictive analytics

Mentoring trainees

Electronic medical records informatics

Attention to causal inference

Education

Doctorate-level professional degree (medicine, pharmacy, or nursing)

Graduate-level epidemiology/public health/informatics

Tools

EMR informatics

Job description

Position Description

Department of Epidemiology and Biostatistics

University of California, San Francisco (UCSF)

Faculty Position – Epidemiology Assistant or Associate Professor

Context: UCSF is one of the nation’s most prolific biomedical research institutions in terms of research funding and scientific productivity in a wide spectrum of subject matter domains, and the UCSF DEB is the campus’s hub for expertise and formal instruction in the methods of epidemiology, biostatistics and health‑related data science. The DEB instructs many types of learners, including medical students, clinical residents, clinical fellows, and junior faculty; graduate students in the DEB’s Master’s Degree Programs (in Clinical and Epidemiologic Research; and Health Data Science) and PhD Program in Epidemiology and Translational Science; and graduate students from other departments. In addition to teaching, the DEB provides a supportive environment for the research of its faculty members in either methods development or applied topics. Collaboration with clinicians in our health system and other researchers outside DEB is common and encouraged (including with the local health department and private healthcare organizations), and there are special opportunities for informatics and learning health systems research.

Responsibilities

• Lead an independent, extramurally‑funded research program.
• Participate in formal instruction to professional students and graduate students in the methods of clinical and epidemiologic research.
• Provide project‑specific and career mentoring to all levels of trainees.
• Contribute to departmental and university service.

Qualifications

• Doctorate‑level professional degree in medicine, pharmacy, or nursing (or equivalent clinical experience).
• Graduate‑level training in epidemiology, public health, informatics or a closely related field.
• Expertise, with a publication record, in the methods of contemporary predictive analytics as applied to clinical decision‑making and healthcare delivery; defined as including development and assessment of diagnostic tests, multi‑feature prediction rules (including those derived with machine learning), and how test results and prediction rules can guide clinical decisions (i.e., test utility).
• Strong interest and experience in teaching the methods of predictive analytics in both formal and informal settings, including to audiences without extensive mathematical backgrounds.
• Record of accomplishment in applied research related to predictive analytics; for Associate‑level applicants, this includes a history of extramural funding.
• Experience with electronic medical record‑based informatics and/or research.
• Familiarity with the methods of modern causal inference.

Application Materials

Click here to apply online with a cover letter, curriculum vitae, statement of research, statement of teaching experience, and three reference contacts. Applicants’ materials must list current and/or pending qualifications upon submission.

Salary

For positions that are 51% effort or more: The posted UC salary scales set the minimum pay determined by rank and step at appointment. The minimum base salary range for this position is $121,900–$189,500. 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: The salary range for this position is $93,700–$145,700.

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

• 3‑5 required (contact information only)

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: Affidavit and Nondiscrimination in Employment

San Francisco, CA