Causal Inference Epidemiology — Research Asst Prof

Statistics Interest Group; Philadelphia (Philadelphia County); Hybrid; USD 110,000 - 160,000; Full time

Job summary

University of Pennsylvania: Perelman School of Medicine seeks candidates for Research Assistant Professor of Epidemiology in the Division of Biostatistics, Epidemiology, and Informatics. The role emphasizes advancing causal inference methodologies and developing novel statistical approaches for health outcomes.

The position requires a PhD in Biostatistics, Statistics, Epidemiologic Methods, or a closely related field, with 1+ year of postdoctoral experience.

Qualifications

• PhD in Biostatistics, Statistics, Epidemiologic Methods, or a closely related quantitative field.
• 1+ year of postdoctoral experience or equivalent.
• Expertise in causal inference and machine learning methods.

Responsibilities

• Advance causal inference methodologies and lead high-impact research in biostatistics and epidemiology.
• Publish in top-tier journals and contribute to federally funded grant submissions.
• Mentor graduate students, postdocs, and junior investigators; collaborate with clinicians and external partners.

Skills

Statistical programming

Causal inference

Biostatistics

Epidemiology

Grant writing

Mentoring

Education

PhD in Biostatistics, Statistics, Epidemiologic Methods, or related field

Tools

R

Python

SAS

Overleaf/LaTeX

GitHub

Job description

University of Pennsylvania: Perelman School of Medicine seeks candidates for Research Assistant Professor of Epidemiology in the Division of Biostatistics, Epidemiology, and Informatics. The role emphasizes advancing causal inference methodologies and developing novel statistical approaches for health outcomes.

The position requires a PhD in Biostatistics, Statistics, Epidemiologic Methods, or a closely related field, with 1+ year of postdoctoral experience.