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Ruopeng An

Endowed Professor & Director, Data Science Center at University of Pennsylvania

University of Pennsylvania

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United States

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Research Interests

Biostatistics

10%

Statistics

20%

Medical Science

10%

Finance

10%

Macroeconomic

10%

Machine Learning

10%

Causal Inference

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Positions2

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Ruopeng An

University Name
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University of Pennsylvania

Assistant Professor of Epidemiology (Research Track) – Bayesian Methods, Causal Inference, Machine Learning

The University of Pennsylvania, Department of Biostatistics and Epidemiology at the Perelman School of Medicine, is seeking applicants for an Assistant Professor of Epidemiology, Research Track. This full-time, non-tenure track faculty position is anchored in the Center for Clinical Trials Innovation within the Division of Epidemiology, Department of Biostatistics, Epidemiology, and Informatics, and involves collaboration with the Palliative and Advanced Illness Research Center. The role is based in Philadelphia, PA. The position focuses on the statistical design and analysis of randomized clinical trials, with a particular emphasis on Bayesian methods, causal inference, machine learning, pragmatic designs with cluster-randomization, and complex missing data. The successful candidate will have a strong background in Bayesian statistics, causal inference, machine learning, pragmatic cluster randomized designs, and complex missing data methods. Expertise in statistical programming (R, Python, Stan/BUGS), proficiency with trial simulation, and experience supporting large-scale trials and clinical research networks or data and safety monitoring boards are essential. Additional responsibilities include collaboration with clinician-scientists, analysis of patient-reported outcomes, handling of missing data, and familiarity with computing infrastructure, Overleaf/LaTeX, and GitHub. The ability to lead peer-reviewed publications and multi-site research is also required. Applicants must hold a PhD or equivalent degree in Statistical Epidemiology, Biostatistics, Statistics, or a closely related quantitative field, and have at least one year of postdoctoral experience. The ideal candidate is an early-career researcher who can advance innovative trial methodologies and lead research on complex multi-arm, cluster, pragmatic, Bayesian, adaptive, and platform trials. The application window opens on September 19, 2025, and closes on September 19, 2027, at 11:59 PM Eastern Time. Interested candidates should apply via Interfolio at the provided link. The position offers an opportunity to work in a collaborative, interdisciplinary environment at a leading research institution, with a focus on advancing the field of clinical trials and statistical methods in epidemiology and biostatistics. For more information and to apply, visit the Interfolio application page. Qualified colleagues are encouraged to apply and share this opportunity with others in the field.

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Ruopeng An

University Name
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University of Pennsylvania

Economist Position in Public Policy Modeling at University of Pennsylvania (PhD required)

The University of Pennsylvania's Penn Wharton Budget Model (PWBM) is seeking candidates for an Economist position focused on economic analysis of public policy. This role is ideal for individuals with a PhD in economics or statistics, particularly those with expertise in public finance, taxation, macroeconomics, and economic modeling. The Economist will be responsible for building and calibrating large-scale economic and financial models to estimate the effects of policy changes on households, businesses, and government finances. Key responsibilities include updating and extending models, generating reports on topics such as tax reform, spending programs, federal debt, and immigration, and engaging with external stakeholders including federal agencies and lawmakers. The position also involves overseeing and training junior research staff. Applicants should have a PhD in economics or statistics, or be ABD expecting a doctorate in 2026, with 2-3 years of relevant experience or an equivalent combination. Preference is given to those with concentrations in public finance/economics with an interest in taxation, or public macroeconomics with experience in OLG (Overlapping Generations) models. Candidates should have experience in econometric research using large and complex datasets or in using economic models to study policy effects. Strong interpersonal, oral, and written communication skills, as well as the ability to work independently and collaboratively, are essential. Two positions are available: one anticipated two-year term and the other anticipated three-year term, both contingent on continued restricted funding. The anticipated starting salary ranges from $126,000 to $170,000. Interested candidates should submit a cover letter, CV, job market or research paper, and three letters of recommendation to [email protected], with letters sent directly to [email protected]. For more information, visit the provided links. This opportunity is particularly relevant for those interested in economics, public policy, economic modeling, public finance, macroeconomics, taxation, empirical analysis, econometrics, and OLG models. The position offers a chance to contribute to impactful policy research at a leading institution.