The OHSU-PSU School of Public Health (SPH) is aligned with the American Public Health Association in declaring racism a public health crisis, and our School is committed to becoming an antiracist SPH. We are working to center social justice in our internal and external work as a school and are committed to addressing structural and institutional racism, and to holding ourselves accountable to this work.
The Postdoctoral Scholar will support the evaluation of the Abundant Birth Project (ABP), a guaranteed income intervention designed to improve maternal and infant health outcomes. In collaboration with academic and community partners, this work focuses on understanding how social and economic interventions influence perinatal health and equity.
The Postdoctoral Scholar will report to Dr. Deborah Karasek and conduct advanced quantitative analyses of longitudinal survey and administrative data, lead manuscripts and conference presentations, and collaborate across interdisciplinary teams, including study PIs based at UC Berkeley and UC Davis. The position offers opportunities for first-author publications, methodological training, and development of independent research aligned with policy-relevant maternal and child health. The role may also contribute to grant applications and analyses across other projects in the PIs portfolio.
PhD (or equivalent) in Epidemiology, Biostatistics, Public Health, Health Policy, or related field
Experience conducting quantitative analyses using statistical software (Stata preferred)
Experience preparing manuscripts for peer-reviewed publication and presenting findings at academic conferences
Strong analytic and problem-solving skills
Familiarity of approaches to dealing with missing data
Familiarity with longitudinal data analysis
Demonstrated ability to manage and analyze complex datasets
Strong written and verbal communication skills
Ability to work both independently and collaboratively in interdisciplinary teams
Familiarity with maternal and infant health research, particularly perinatal health equity
Experience with randomized controlled trials
Experience with multi-site studies, including data harmonization or meta-analyses
Experience working with administrative or linked datasets
Experience in community-engaged or policy-relevant research
Demonstrated track record of peer-reviewed publications
Familiarity with quasi-experimental methods, causal inference, and/or meta-analysis
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