Skip to main content

Research Assistant Professor of Epidemiology

Employer
University of Pennsylvania
Location
Philadelphia
View more categoriesView less categories
Employment Type
Full Time
Institution Type
Four-Year Institution

Job Details



Research Assistant Professor of Epidemiology


Location: Philadelphia, PA
Open Date: Sep 25, 2026
Deadline: Sep 25, 2028 at 11:59 PM Eastern Time

The Department of Biostatistics, Epidemiology, and Informatics at the Perelman School of Medicine at the University of Pennsylvania seeks candidates for several Assistant Professor positions in the non-tenure research track. Expertise is required in the specific area of causal inference and machine learning methods. Applicants must have a Ph.D. or equivalent degree.

Research or scholarship responsibilities may include expertise in statistical programming (R, Python, SAS) and proficiency in analyzing and interpreting health outcomes, along with a demonstrated aptitude for working with state-of-the-art computing infrastructure, Overleaf/LaTeX, GitHub, and reproducible research pipelines. The successful candidate will bring a demonstrated record of first- or senior-authored peer-reviewed publications in statistical methodology, causal inference, biostatistics, epidemiology, or related fields, as well as experience developing and evaluating novel statistical methods for observational and experimental data. The candidate should demonstrate the ability to lead peer-reviewed publications in causal inference methodology applied to perinatal health and support multi-site collaborative research projects, while effectively communicating complex quantitative methods to interdisciplinary scientific audiences. Additionally, experience in collaborating with clinician-scientists, mentoring graduate students, postdoctoral fellows, or junior investigators, and contributing to federal and foundation grant submissions (e.g., NIH, PCORI, foundations) is highly valued.

The Center for Causal Inference (CCI) and the Center for Health Innovations in Reproductive and Perinatal Population Research (CHIRP) in the Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics seeks candidates with a PhD in Biostatistics, Statistics, Epidemiologic Methods, or a closely related quantitative field, with 1+ years of postdoctoral experience. The ideal candidates will be outstanding early-career researchers who will advance innovative causal inference methodologies and lead cutting-edge research in the development of novel causal inference and machine learning methods. This faculty member will be expected to lead and publish high-impact research in top-tier biostatistics, epidemiology, and clinical research journals; support, prepare, and submit grant applications; and support ongoing research studies with Penn faculty and external partners. We will begin reviewing applications on November 15th, 2026, and the position start date is flexible.



Qualifications


Application Instructions


To apply, visit https://apply.interfolio.com/193761

Equal Employment Opportunity Statement

The University of Pennsylvania is an equal opportunity employer. Candidates are considered for employment without regard to race, color, sex, sexual orientation, religion, creed, national origin (including shared ancestry or ethnic characteristics), citizenship status, age, disability, veteran status or any class protected under applicable federal, state, or local law.











Copyright ©2025 Jobelephant.com Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency je-b7b7c019c9d84a0ea8986b27073eeddb

Organization

Welcome to the University of Pennsylvania! Penn is the largest private employer in Philadelphia and is a world-renowned leader in education, research, and innovation.  

Across our 12 highly-regarded schools, more than 25,000 students, and more than 4,000 faculty members, we become one university: a wide-ranging, ever-changing community that draws its strength from a multitude of races, ethnicities, genders, sexual orientations, historical traditions, ages, religions, disabilities, veteran status, interests, perspectives, and socioeconomic backgrounds. 

Penn carries on the principles and spirit of its founder, Benjamin Franklin: entrepreneurship, innovation, invention, outreach, and a pragmatic love of knowledge. Franklin's practical outlook has remained a driving force in the university's development. To learn more, visit About Penn. 

Vision

 

As engines of knowledge and new ideas, universities have the unique potential to define the future rather than be defined by it; to pioneer change rather than merely manage it. To do so requires a plan both visionary and pragmatic. The Penn Compact 2022 motivates community members to innovate, be radically inclusive, and positively impact their local, national, and global communities. 

 

Penn’s fundamental priorities — increasing access, integrating knowledge and engaging locally, nationally and globally — are supported by the three core values that make us uniquely Penn: inclusion, innovation, and impact. 

 

Learn about the signature initiatives of the Penn Compact 2022:  

 

Diversity 

 

Understanding and appreciating diversity is one of Penn's most important priorities and is fundamental to success in today's world. 

 

Penn adheres to a policy that prohibits discrimination on the basis of race, color, sex, sexual orientation, gender identity, religion, creed, national or ethnic origin, citizenship status, age, disability, veteran status, or any other legally protected class. 

 

To learn more about Diversity and Inclusion at Penn visit: 

 

Benefits 

 

Penn offers a wide range of benefits and perks - from Penn's retirement Matching Plan to bike repair stations to access to the full LinkedIn Learning library to adoption assistance to workshops at the letterpress and book arts studio and much more! 

 

Campus and Beyond

 

We invite you to explore our campus and its stately buildings and state-of-the-art facilities. 

 

Try our self-guided tour! Come and visit! 

 

Learn about sustainability at Penn. 

 

News 

 

Stay up-to-date with Penn's response to COVID-19: Coronavirus Information & Resources. 

 

Penn supports news publications that tell the ongoing story of the University community, communications services for external media, telephone and video services, and other media resources: Campus Media 

 

Connect with us!  

 

Instagram: @uofpenn 

Twitter: @Penn 

 

 

Company info
Telephone
(215) 898-7372
Location
3451 Walnut Street
Philadelphia
PA
19104
United States

Get job alerts

Create a job alert and receive personalized job recommendations straight to your inbox.

Create alert