Postdoctoral Fellow in Adversity and Health at the University of Pennsylvania's Population Studies Center (PSC) Job at University of Pennsylvania, Philadelphia, PA

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  • University of Pennsylvania
  • Philadelphia, PA

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; ) 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

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

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.

Job Tags

Full time, Local area,

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