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Postdoctoral Associate in Maternal & Early Childhood Health Data, Evaluation, and Systems Change Duke University in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
2-year postdoctoral appointment; salary is commensurate with experience. The post is described as grant funded in the listing context, but no stipend amount or tuition details are provided.
Country
United States
University
Duke University

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About this position
Postdoctoral Associate at Duke University in maternal health, child wellbeing, data integration, and evaluation.
Drs. Rushina Cholera (Duke-Margolis, Duke Pediatrics), Lisa Gennetian (Duke Sanford), and Sarahn Wheeler (Duke School of Medicine) are seeking a postdoctoral research associate for a 2-year appointment supporting a multi-year Maternal & Early Childhood Health Initiative focused on improving maternal health and child wellbeing among North Carolina’s perinatal-to-three population.
The role centers on cross-sector data infrastructure, data linkage, performance measurement, evaluation, and continuous learning. The postdoc will work closely with initiative leadership to design and implement data, measurement, and evaluation strategies across administrative, clinical, survey, claims, and programmatic data sources. The work includes linking maternal-child dyads, families, and service interactions across systems, supporting data governance and stewardship, and generating actionable insights for policy and systems transformation.
Required preparation includes a PhD in health services research, public health, epidemiology, biostatistics, economics, data science, informatics, implementation science, public policy, or a related field. Applicants should have experience with large datasets, quantitative analysis in R, STATA, SAS, or Python, data linkage and quality assessment, and interest in maternal and child health, Medicaid policy, population health, health equity, or cross-sector care delivery models.
Funding is described as a salaried postdoctoral appointment with compensation commensurate with experience. No deadline is listed; review begins immediately. To apply, email Leah Goldsmith with a background/fit statement, at least two references, a sample paper or publication, and your CV.
Funding details
2-year postdoctoral appointment; salary is commensurate with experience. The post is described as grant funded in the listing context, but no stipend amount or tuition details are provided.
What's required
PhD in health services research, public health, epidemiology, biostatistics, economics, data science, informatics, implementation science, public policy, or a related field. Experience with large administrative, clinical, or programmatic datasets, including state-level health and social service data; strong quantitative skills with R, STATA, SAS, Python, or similar software; experience with data linkage, data quality assessment, and/or building analytical datasets across multiple sources; demonstrated interest in maternal and child health, Medicaid policy, population health, health equity, or cross-sector care delivery models; strong project management and communication skills for technical and non-technical stakeholders.
How to apply
Email Leah Goldsmith with a description of your background, fit, and interest in the position, plus contact information for at least two references. Also include a sample paper or publication and your résumé or CV. Applications are reviewed immediately.
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