Clinical Epidemiology: Predictive Analytics & Teaching

University of California - San Francisco; San Francisco (CA); On-site; USD 94,000 - 190,000; Full time

Job summary

University of California, San Francisco (UCSF) invites applications for a full-time Epidemiology Assistant or Associate Professor in the Department of Epidemiology and Biostatistics (DEB). The role emphasizes clinical epidemiology methods, teaching, and mentoring across medical and graduate programs.

Candidates should have a doctorate-level clinical degree, trained in epidemiology/public health/informatics, and a strong track record in predictive analytics and extramural research funding.

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 predictive analytics as applied to clinical decision-making and healthcare delivery; includes diagnostic tests and ML-based rules.

Responsibilities

• Lead an independent, extramurally-funded research program.
• Teach methods of clinical and epidemiologic research to professional and graduate students.
• Mentor trainees and contribute to departmental and university service.

Skills

Doctorate-level professional degree in

Graduate-level training in epidemiolog

Predictive analytics in clinical dec

Teaching predictive analytics

Extramural funding experience

Electronic medical record informatics

Causal inference methods

Education

Doctorate-level professional degree in medicine

Graduate-level training in epidemiology/public health/informatics

Job description

University of California, San Francisco (UCSF) invites applications for a full-time Epidemiology Assistant or Associate Professor in the Department of Epidemiology and Biostatistics (DEB). The role emphasizes clinical epidemiology methods, teaching, and mentoring across medical and graduate programs.

Candidates should have a doctorate-level clinical degree, trained in epidemiology/public health/informatics, and a strong track record in predictive analytics and extramural research funding.