Postdoctoral Associate - Obstetrics and Gynecology - Military Veterans

at Duke University and Duke University Health System

Durham, North Carolina

This Position is Fully Grant Funded

School of Medicine:


Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.


Comprised of 2,400 faculty physicians and researchers, the Duke University School of Medicine along with the Duke University School of Nursing and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.


Duke University’s Department of Obstetrics and Gynecology has an immediate opening for a Postdoctoral Associate. 


Work Location: Durham, NC, or possibility for remote in the following states:  California, Florida, Georgia, Maryland, New York, South Carolina, Tennessee, Texas, Virginia, Washington D.C.

This appointment is renewable up to 4 years.


Primary Purpose of Organizational Unit:


Duke University’s Department of Obstetrics and Gynecology (Ob-Gyn) is at the forefront of women’s reproductive healthcare, education and research. The Department consists of 90 MD and PhD faculty, 13 consulting and adjunct faculty, 32 advanced practice providers, 34 Ob-Gyn residents and 15 sub-specialty fellows. The Department has  a  robust  research  program  with  basic,  translational  (T1  and  T2),  and  clinical  investigators supported  by  over  $11  million in research funding,  including  $5  million  from  NIH(grants  and contracts)  and $3.4 million from non-NIH federal sponsors (PCORI, CDC, AHRQ, EPA) in 2020. This includes participation in multiple NIH-funded  clinical  trials  and  research  networks,  three  NIH  K12  Clinical  Scientist  Institutional  Career  Development Awards (BIRWCH, WRHR, KURe) and laboratories focusing on gynecologic malignancies, perinatology, epigenetics, early  human  development,  and  environmental  impacts  on  reproductive  health,  and  a burgeoning  data  science program.


Position Summary: The Department of Ob-Gyn seeks a candidate with a doctoral degree in Epidemiology, Biostatistics, Health Services Research, or a related quantitative field.   Our group uses epidemiologic methods and modeling to explore and improve disparities in healthcare delivery and outcomes. The ideal candidate will have knowledge of natural history modeling and a demonstrated interest in women’s health and healthcare or social determinants of racial/ethnic inequalities in health. 


The candidate will have the unique opportunity to have dual mentorship from an interdisciplinary team at Duke University.  About half of the post-doc’s time will be spent working  with Drs. Laura Havrilesky, Evan Myers, and Marc Ryser on a newly funded U01 Cancer Intervention and Surveillance Modeling Network (CISNET) project whose aims are to improve outcomes and reduce disparities in uterine cancer prevention, detection and treatment (  


The other half of the post-doctoral candidate’s time will be working with Dr. Whitney Robinson developing new research at the intersection of midlife gynecologic care and early cancer detection. 


For the CISNET project, the selected candidate will perform mathematical modeling of reproductive factors and the natural history of uterine cancer, as part of the NCI-funded U01 grant. Specifically, they will be responsible for obtaining model inputs from population-level surveys and databases, developing, maintaining and running mathematical models, and conducting a wide array of microsimulation experiments in support of the grant’s aims. They will prepare scientific manuscripts describing and implementing the proposed approach in applied settings, and present findings at conferences. The postdoctoral research associate will prepare material for discussion at weekly team meetings and participate in the CISNET modeling community as a junior investigator at national meetings.


Dr. Robinson’s research group uses a reproductive justice and public health critical race praxis framework to investigate racial/ethnic, socioeconomic, and geographic inequities in gynecologic health and health care, e.g., fibroids, PCOS, endometriosis, using data derived from free text in electronic health records, medical coding, and other administrative databases.  For Dr. Robinson’s projects, the candidate will likely work on proposal and manuscript development related to routine gynecologic care as an opportunity to enhance early detection of gynecologic cancers.  There are also opportunities to use data from an EHR-derived study of >2,000 hysterectomies conducted among premenopausal patients in the South in the mid-2010s and to collaborate on projects using ongoing cohort of dementia development among adults across the lifespan, among other ongoing work.  Day-to-day work will involve background research for grant-writing as well as statistical analysis and manuscript writing as a co-author. 

Education and Experience Requirements:


Completion of a PhD in Epidemiology, Biostatistics, Health Services Research, or a related quantitative field is preferred.


Required Qualifications, Competencies, and Experience: CISNET project: Mastery of Julia, C++, R, or Python. R or SAS are preferred for Dr. Robinson’s projects.


The successful applicant demonstrates great attention to detail, works independently, takes initiative, has excellent written and verbal communication skills, and performs well in an interdisciplinary environment at the interface between the quantitative sciences and medicine. The successful candidate is expected to have a track record of first-author publication in peer-reviewed journals.


Please upload the following:

a) CV

b) Cover Letter

c) List of References (3) with title, affiliation, and preferred contact method and details

d) Writing/Research Sample (1 position-relevant paper, preferably published); and

e) Research Statement (limited to 2 pages)



Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.


Durham, North Carolina

As a world-class academic and health care system, Duke Health strives to transform medicine and health locally and globally through innovative scientific research, rapid translation of breakthrough discoveries, educating future clinical and scientific leaders, advocating and practicing evidence-based medicine to improve community health, and leading efforts to eliminate health inequalities.

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