Postdoctoral Fellow

Postdoctoral Fellow

Location: Philadelphia, PA
Open Date: Oct 30, 2025
Deadline:

The Population Studies Center (PSC) at the University of Pennsylvania seeks 1 full-time postdoctoral fellow to work on the NICHD funded project "Reproductive and Child Health Trajectories in Successive Novel Infectious Disease Crises," a longitudinal study about the consequences of back-to-back public health crises for women and their children in Brazil. The Population Studies Center is an interdisciplinary research and training unit of the University of Pennsylvania that provides infrastructure services and project development support for an interdisciplinary group of faculty, postdocs, graduate students, and undergraduate students. This position will be appointed to work on the DZC project led by Principal Investigator Dr. Leticia Marteleto. The postdoctoral fellow will have the opportunity to work on existing and upcoming waves of DZC survey data on socio-demographic and economic factors, reproductive health and fertility in Brazil, as well as administrative data to more completely examine the effects of successive public health crises on fertility and reproductive health. The postdoctoral fellow will be expected to engage in advanced research within the DZC project and to fully participate in the research life of the project. Penn PSC provides postdoctoral fellows with access to a wide variety of enrichment opportunities, including numerous seminar series, professional development (e.g., grant writing), and support for participating in conferences.

The initial term of appointment is one year, and reappointment for a second year is expected, following successful review. Applications will be reviewed on a rolling basis, beginning in January 2026.

Key Functions and Expected Performance

The successful candidate will work collaboratively with Professor Dr. Marteleto to advance a robust scholarly agenda within the DZC project. This includes, but is not limited to, the following:

Collaborate with Dr. Marteleto and fellow members of the research and project team to prepare DZC and administrative data for analysis.

Participate in and contribute to the data collection planning for future DZC waves.

Conduct statistical analyses for the DZC Project in conjunction with other project researchers.

Prepare manuscripts for publication in scientific journals and presentations at academic conferences.

Participate in grant proposal preparation.

Integrate existing and upcoming datasets on socio-demographic and economic factors, reproductive health and fertility in Brazil and administrative data to assess the effects of public health crises on fertility and reproductive health.

Offer guidance and mentorship to undergraduate and graduate student research assistants.

Qualifications
• Strong demonstrated interest in researching global fertility and reproductive health.

• Strong analytic skills with experience using Stata and/or R

• Experience with longitudinal data analysis and causal analysis

• Personal initiative and effective collaboration experience.

• Excellent organizational skills and demonstrated ability to adhere to tight deadlines.

• Strong communication and interpersonal skills.

Preference will be given to candidates that present experience with:

• Working with large-scale survey or administrative datasets, including panel survey data and quasi-experimental data.

• Strong background in social science analysis and advanced statistical analyses, including causal inference approaches such as survival/event-history, fixed-effects, decomposition analysis, and DiD.

• Data management, including data cleaning, quality control, and documentation. Ability to work with raw data if necessary.

• Statistical software as STATA and/or R

• Demographic and Health Survey (DHS) data.

• Working with the effects of ethnoracial and socioeconomic diversity and heterogeneity on causal outcomes.

• Data visualization and GIS.

• Other types of analyses, that can include panel-data models (or cross-sectional time-series). Logit and linear regression, Network analysis, and Fixed-effects models and related approaches are preferred.

*Relevant education and experience may be substituted as appropriate.

Eligibility:

• Applicants must have completed all doctoral degree requirements by the time of entry into the position.

• Applicants must be able to provide documentation/proof of work authorization in the U.S.

Application Instructions
• Resume/CV

• 3 work references with their contact information

• Letter of interest

To apply, visit

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.