Postdoctoral Fellow in Adversity and Health at the University of Pennsylvania's Population Studies Center (PSC)
- University of Pennsylvania
- Philadelphia, PA, USA
- Apr 03, 2025
Job Description
Postdoctoral Fellow in Adversity and Health at the University of Pennsylvania's Population Studies Center (PSC)
Location: Philadelphia, PA and Stonybrook, NY with Travel to Malawi
Open Date: Dec 20, 2024
Deadline:
The Malawi Longitudinal Study of Families and Health (MLSFH; https://www.MLSFHresearch.org) at the University of Pennsylvania seeks applicants for a postdoctoral researcher to support a NICHD funded 5-year project on Adversities, Health and Resilience in Early Adulthood. This novel project builds on a quarter-century of social and contextual MLSFH data. Starting in 2017, the project captured prospective data from a new cohort of over 2,000 MLSFH children as they moved through adolescence. They are now entering young adulthood, and the next phase of the project will examine how earlier childhood adversity influences sexual, reproductive and mental health, and how it is transmitted across generations to their children. The new study will provide unparalleled insights into how adversities exert lasting impacts across the life course and across generations, and identify key resilience processes that can inform policies
The postdoc will work closely with Hans-Peter Kohler (hpkohler@sas.upenn.edu) at the University of Pennsylvania, Rachel Kidman (Rachel.Kidman@stonybrookmedicine.edu) at Stony Brook University, and other MLSFH collaborating partners in the USA and Malawi.
The postdoctoral scholar will have the opportunity to engage in this innovative MLSFH project from its inception, thereby allowing them to build experience in study design, data collection, and analyses. Through this project, the postdoctoral fellow will gain access to newly collected and novel global data that provide exceptional research opportunities and facilitate long-term career building.
To apply, please submit cover letter, resume/CV, writing sample, and two letters of recommendation via http://apply.interfolio.com/160959
Responsibilities include:
Analyze longitudinal MLSFH data on the adolescent/young adult cohort to estimate the impacts of adverse childhood experience (ACEs) on health both across the life course and across generations
Contribute to the development of study protocols for upcoming MLSFH data collection
Contribute to the implementation of data collections in Malawi, including travel to Malawi
Data management during data collections and/or analyses
Collaborate with a multidisciplinary and international research team and with community stakeholders
Disseminate research findings at scientific conferences and stakeholder meetings
Draft manuscripts for scientific publication
Provide technical and written assistance on grants for NIH and other external funding
Qualifications
Qualifications
• Ph.D. in epidemiology, economics, demography, sociology, psychology and/or related fields
• Interest in global health, childhood adversity, sexual and reproductive health and/or life course analyses
• Skills in quantitative data collection and/or methods and econometric/statistical analysis
• Excellent English verbal and written skills
• Strong organizational skills and ability to establish priorities to meet deadlines
• Ability to work in a multidisciplinary setting with an international research team
• Ability to travel internationally for extended periods (2-3 months)
Application Instructions
To apply, please submit cover letter, resume/CV, writing sample, and two letters of recommendation via Interfolio http://apply.interfolio.com/160959
To apply, visit https://apply.interfolio.com/160959
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.
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