Epidemiology & Predictive Analytics Faculty Lead

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

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,