Duke University Medical Center, Department of Obstetrics and Gynecology

Position ID:Duke University Medical Center-Department of Obstetrics and Gynecology-POSTHAVRILESKY [#21617]
Position Title: Postdoctoral Associate
Position Type:Postdoctoral
Position Location:Durham, North Carolina 27705, United States [map]
Subject Area: Obstetrics and Gynecology
Appl Deadline:none (posted 2022/04/13)
Position Description:    

Duke University’s Department of Obstetrics and Gynecology has an immediate opening for a Postdoctoral Associate. Apply at this link: https://careers.duke.edu/job-invite/186865/

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

Estimated Duration of Appointment: 48 Months

Position Summary

The Department of Obstetrics and Gynecology seeks a candidate with a doctoral degree in Epidemiology, Statistics, Health Services Research, or a related quantitative field. Our group uses mathematical modeling to explore and improve disparities in healthcare delivery and outcomes. The ideal candidate will have knowledge of natural history modeling and an interest in women’s health and healthcare.

The post-doc will have mentorship from an interdisciplinary team at Duke University. Drs. Havrilesky, Myers, and Ryser are currently collaborating 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 (https://cisnet.cancer.gov/uterine/).

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 monthly project-wide meetings, perform modeling, author-related manuscripts, and participate in the CISNET modeling community as a junior investigator at national meetings.

Education and Experience Requirements: Completion of a Ph.D. in Epidemiology, Statistics, Health Services Research, or a related quantitative field.

Required Qualifications, Competencies, and Experience: Experience with real-world (cancer) data and programming skills are required, including mastery of a low-level programming language such as R, Python, Julia, or C++. The position requires proficiency in at least a subset of the following: multistate disease modeling; statistical survival analysis, and simulation modeling. 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 quantitative modeling and medicine. The successful candidate is expected to have a track record of first-author publication in peer-reviewed journals.

Duke University 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.


We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply at https://careers.duke.edu/job-invite/186865/ .
Contact: Dr. Laura Havrilesky
Email: email
Postal Mail:
apply at link above:
https://careers.duke.edu/job-invite/186865/
Web Page: https://obgyn.duke.edu/