Instructor in Biostatistics

Pennsylvania, United States

Apply by 15 Oct 2027

Penn's Department of Biostatistics and Epidemiology is recruiting several full-time Instructors to develop and apply advanced statistical methodology, with current emphasis on imaging statistics, causal inference and AI applications in biostatistics. Applications close on 15 October 2027 at 11:59 PM Eastern Time.

These Instructor appointments are designed for quantitative researchers who can develop a recognizable methodological research programme within biostatistics rather than solely provide statistical support. Current departmental priorities include imaging statistics, causal inference and artificial-intelligence methods applied to biostatistical problems. Responsibilities may combine leadership and collaboration in advanced-method development with publication in leading journals, acquisition of research funding and presentation of methodological innovations at national and international meetings.

The successful applicant may also mentor students and postdoctoral researchers and is expected to build an increasingly independent research portfolio, including peer-reviewed articles and participation in grant applications. Each appointment begins with a one-year term, with continuation and renewal dependent on satisfactory performance and available funding, limited to three years. Because the source covers several Instructor positions, the record is represented as one umbrella recruitment rather than being split into unsupported individual vacancies.

biostatistics imaging statistics causal inference AI statistical methodology research funding

Time Commitment Full-time

Duration Initial one-year appointment; continuation and renewal depend on performance and funding, limited to three years

Reference Code Interfolio 175886

Field Biostatistical Methodology

Specialization Statistics & Operational Research

Organization Type University

PhD or equivalent degree in a relevant field.

Expertise in statistics or biostatistics is required; current areas of focus include imaging statistics, causal inference and AI applications within biostatistics. The role also requires the ability to establish a research‑leadership profile.

• Biostatistics
• Advanced statistical methodology
• Imaging statistics
• Causal inference
• Artificial intelligence in biostatistics

• Research leadership
• Scientific collaboration
• Student mentoring
• Scientific presentation
• Grant development