Research Assistant Professor of Obstetrics and Gynecology

University of Washington Department of Obstetrics and Gynecology

Research Assistant Professor in the Department of Obstetrics and Gynecology

Position Overview

Organization: Obstetrics and Gynecology

Title: Research Assistant Professor in the Department of Obstetrics and Gynecology

Position Details

Position Description

As a UW employee, you have a unique opportunity to change lives on our campuses, in our state and around the world. UW employees offer their energy, creative problem-solving skills and dedication to build stronger minds and a healthier world.

UW faculty and staff enjoy outstanding benefits, professional growth opportunities and unique resources in an environment noted for diversity, intellectual excitement, artistic pursuits and natural beauty. All of which has allowed the UW to be nationally recognized as a “Great College to Work For” for four consecutive years.

The Department of Obstetrics and Gynecology was established in 1948 and cares for some of the most vulnerable citizens of the WWAMI (Washington, Wyoming, Alaska, Montana and Idaho) region through our reputation for excellent patient care, education, and research. UW is currently ranked #8 in Best Medical Schools for Women's Health by U.S. News and World Report and the School of Medicine is #4 nationally in the National Institutes of Health (NIH) funding awards among public institutions. The UW Residency successfully competes with the top 15 residencies in the U.S. In the Department of Ob/Gyn, diversity is integral to excellence. We value and honor diverse experiences and perspectives, strive to create welcoming and respectful learning environments, and promote access, opportunity and equity for all.

Job Description and Scope

We are looking for a full-time candidate at the rank of Research Assistant Professor, non-tenure with a desire to teach. The person in this position will be expected to develop and use novel computational methodologies, including algorithms or genome-scale biotechnologies, or that use multiple existing techniques together in innovative ways. We especially encourage applications from candidates whose research is related to sexually transmitted infections, HIV and/or infection-related pregnancy complications. The candidate is expected to bring some independent research funding in support of their own research program and is expected to successfully maintain such funding. The candidate will be expected to work both independently and in collaboration with a team and have creativity in analysis and visualization of complex data sets. Additionally, the candidate will collaborate with other faculty in the Research Division to implement a broader range of reproductive health research studies. Strong interest in mentoring junior faculty and trainees is also required. All University of Washington faculty engage in teaching, research and service. This appointment is a 12-month service period with an anticipated start date of July 1, 2020.


  • Ph.D. or foreign equivalent with at least 3 years of post-doctoral research experience
  • Deep experience using state-of-the-art analysis techniques of systems biology to broadly analyze single cell- and tissue-level functions at the transcriptomic, proteomic, metabolomic and epigenetic level
  • Experience as a PI or co-investigator on a health research grant
  • Experience working with preclinical studies, clinical trials and/or analyzing qualitative and quantitative data
  • Strong quantitative training in bioinformatics and system analysis tools
  • Strong scientific writing, and oral presentation and verbal communication skills
  • Prior experience as a mentor or educator


Submit a letter of interest and CV electronically through Interfolio. Please send inquiries by email to Ms. Bowden at

Equal Employment Opportunity Statement

University of Washington is an affirmative action and equal opportunity employer. All
qualified applicants will receive consideration for employment without regard to race, color, creed,
religion, national origin, sex, sexual orientation, marital status, pregnancy, genetic information,
gender identity or expression, age, disability, or protected veteran status.