Assistant Professor - Causal Inference & Biostatistics (ML)

University of Pennsylvania Perelman School of Medicine; Philadelphia (Philadelphia County); On-site; USD 95,000 - 130,000; Full time

Job summary

The University of Pennsylvania's Perelman School of Medicine seeks applicants for several Assistant Professor positions in the non-tenure research track in the Department of Biostatistics, Epidemiology, and Informatics. Expertise in causal inference and machine learning is required, and a PhD or equivalent is essential.

Responsibilities include leading methodological research, publishing, grant submissions, mentoring trainees, and collaborating with clinicians on interdisciplinary studies.

Qualifications

• PhD or equivalent degree is required.
• Expertise in causal inference and machine learning methods.
• Ability to lead first- or senior-authored publications in relevant fields.

Responsibilities

• Develop novel causal inference and ML methodologies for health data.
• Publish research in top biostatistics and epidemiology journals and lead grant submissions.
• Mentor graduate students, postdocs, and junior investigators; collaborate with clinicians.

Skills

Causal inference

Machine learning

Statistical programming

Education

PhD in Biostatistics/Statistics/Epidemiologic Methods or related

Tools

R

Python

SAS

Job description

The University of Pennsylvania's Perelman School of Medicine seeks applicants for several Assistant Professor positions in the non-tenure research track in the Department of Biostatistics, Epidemiology, and Informatics. Expertise in causal inference and machine learning is required, and a PhD or equivalent is essential.

Responsibilities include leading methodological research, publishing, grant submissions, mentoring trainees, and collaborating with clinicians on interdisciplinary studies.