The National Institute of Nursing Research (NINR) Division of Intramural Research (DIR) welcomes applications for the position of postdoctoral fellow. In this role, the postdoctoral fellow will work at examining the influence of systems and models of care on population and community health.
The postdoctoral fellow will primarily work with NINR Scientific Director Dr. Sabrina Wong, conducting research in collaboration with primary care practice-based research and learning networks. Empirical investigations involve both quantitative and qualitative methods, with a strong emphasis on the context of where people live and access most of their care. The postdoctoral fellow will have opportunities to collaborate with other investigators at NIH and within the Virginia Ambulatory Care Outcomes Research Network (ACORN).
ACORN’s goal is to help primary care clinicians continue to provide excellent care, make care easier, and engage in learning best practices. Their research and initiatives span health information technology, the social determinants of health, health disparities, specific chronic and acute conditions, and patient/physician communication.
Recent projects include:
- Enhanced Care Planning: testing whether enhanced care planning to address root causes of poor health will better help to control chronic conditions, using a randomized controlled trial study design; and
- Unhealthy Alcohol Use: screening and counseling for unhealthy alcohol use is recommended by the United States Preventive Services Task Force (USPSTF). ACORN is one of six centers funded to provide practice facilitation to 150 primary care practices throughout Virginia to better implement this preventive service.
The NINR DIR is collaborating with ACORN to carry out research to solve pressing health challenges and inform practice and policy – optimizing health and advancing health equity into the future.
The postdoctoral position is a full-time, annually renewable appointment. The position is open for both domestic and foreign nationals. Salary will be set according to federal agency policies.
How to Apply
Applicants must submit the following documents:
- Cover letter: Two-page synopsis of research interest, including a brief description of career plans related to primary care, population and community health, and systems and models of care
- Curriculum vitae
- Two writing samples (published or unpublished, single-authored or co-authored)
- Three references that can be contacted
- Undergraduate and graduate transcripts
Please email applications to Dr. Sabrina Wong at Sabrina.Wong2@nih.gov
Position is available for immediate hire. Applications will be reviewed on a rolling basis until the position is filled. Full-time, 2- to 3-year appointment with year-to-year renewal up to five years based on satisfactory performance. Travel funds will be provided.
The NIH is dedicated to building a diverse community in its training and employment programs and encourages the application and nomination of qualified women, minorities, and individuals with disabilities.
Key Responsibilities:
- Initiate and implement collaborative partnerships with primary care practices within practice-based research and learning networks (e.g. ACORN)
- Coordinate study team and primary care activities
- Develop and implement a seminar series on improving the science of primary care
- Support analyses of quantitative and qualitative data
- Advance efforts to understand the role of nurses in team-based care
- Translation of research findings for policymaker and lay audiences
Anticipated Outputs and Opportunities:
- Contributing to multiple peer-reviewed manuscripts
- Outreach materials based on research findings for scientific and non-scientific audiences
- Presentation of research to stakeholders, including policymakers, federal, state and local decision-makers, and community organizations
Qualifications:
- Applicants must have a PhD in social sciences (e.g., health economics, economics, sociology, demography) or health sciences (e.g., nursing, family medicine, epidemiology, public health) with requisite experience from an accredited university.
- Quantitative analyses using statistical analysis software (e.g. R, SAS) preferred.
- Excellent written and oral communication skills; well organized, motivated, and detail oriented.
- Ability to synthesize, interpret, and communicate scientific data for non-scientists.
- Ability to work in both team settings and independently.
- Demonstrates self-awareness, cultural competency and inclusivity, and ability to work with colleagues and stakeholders across diverse cultures and backgrounds.
- Qualitative research experience is an asset.