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Causal Inference Postdoc Jobs (NOW HIRING)

Upenn

$85K/yr

Postdoctoral Positions: Perelman School of Medicine PostdoctoralLocation University of Pennsylvania - School of Medicine Open DateDescription Department: The Center for Causal Inference (CCI) in the ...

Statistics Interest Group

The Liu Lab builds on a strong track record in AI-powered causal inference, Bayesian generative ... Postdoc will receive mentorship in method development, biological collaboration, grant writing, and ...

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Infographic showing various Causal Inference Postdoc job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 68% Physical, 3% Hybrid, and 29% Remote job distribution, with an average salary of $242,952 per year, or $116.8 per hour.

Causal Inference Postdoctoral Researcher - Center for Causal Inference, University of Pennsylvania

On-site

Upenn
See more jobs at Upennexternal

$85K/yr

Other

Posted 13 days ago

Key responsibilities

  • develop new theory and methods in causal inference

  • develop software related to causal inference

  • participate in weekly working group meetings and the annual Causal Inference Summer Institute

Job description

University of Pennsylvania: Postdoctoral Positions: Perelman School of Medicine PostdoctoralLocation

University of Pennsylvania - School of Medicine

Open DateDescription

Department: The Center for Causal Inference (CCI) in the Department of Biostatistics, Epidemiology & Informatics (DBEI)

This position is open to applications from US citizens and foreign nationals.

The Center for Causal Inference (CCI) is a research center in the Department of Biostatistics, Epidemiology and Informatics in the Perelman School of Medicine of the University of Pennsylvania (https://www.dbeicoe.med.upenn.edu/cci/about-us ) with close collaboration with the Wharton Statistics Department. The CCI is a multidisciplinary center that includes faculty, postdocs, and graduate students from Biostatistics, Statistics, Epidemiology, Criminology, Computer Science, Philosophy, and other disciplines. The mission of the CCI is to be the leading center for research and training in the development and application of causal inference theory and methods, with far-ranging applications in Health and Social Sciences.

The position is for a postdoctoral researcher in causal inference with considerable flexibility in terms of research focus, reflecting the interdisciplinary nature of the field. In particular, the postdoctoral researcher will have an opportunity to collaborate on a broad range of methodological projects under the mentorship of one or more faculty affiliated with CCI.

Sample content areas include:

  • Developing methods to study the effect of antidiabetic treatments on the recurrence of hospitalizations for T2DM-related complications.
  • Developing methods for constructing just-in-time adaptive interventions using mobile health (mHealth) data.
  • Developing novel causal inference methods to reconcile possibly conflicting results between randomized trials or randomized trials and observational studies, particularly in the area of pregnancy research.

In addition, the researcher will receive mentorship for professional development from the CCI co-directors Professors Nandita Mitra and Eric Tchetgen Tchetgen, as well as dedicated mentorship based on project type, with the expectation that their time as a researcher will advance their career development.

Duties and Responsibilities: develop new theory and methods in causal inference; develop software; and potentially collaborate on applied projects in Health and Social Sciences. In addition, the fellow is expected to be an active member of the CCI, by, for example, participating in the weekly working group meeting and the annual Causal Inference Summer Institute.

Qualifications

Candidates should have a doctoral degree in biostatistics, statistics, or a related field. Strong computational skills and expertise in causal inference are desired but not required. Start date and term are negotiable.

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.

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