Post-Doctoral Research Associate (Informatics - Center 4 Health Research)

Position Summary This postdoctoral position will play a critical role in designing, implementing, and analyzing research projects focused on identifying and addressing health disparities, with an emphasis on patient-centered digital health interventions (such as Epic MyChart). This role also provides an opportunity to apply advanced informatics, artificial intelligence, human-computer interaction, and data science methods to understand and mitigate health disparities, enhance patient engagement, and improve outcomes through digital health innovations. The successful candidate will collaborate with a multidisciplinary team and contribute to building evidence that informs policy and practice. Duties Responsibilities Scholarly Activities : Prepare manuscripts for peer-reviewed journals and present research findings at national and international conferences. Assist in the development of grant proposals to secure funding for current and future research projects. Career Development Mentorship : Work with the Supervisor to develop a personalized professional growth plan with opportunities for publications, presentations, grant development, and career advancement. Research Design Implementation : Develop and support mixed-methods research strategies to identify and address health disparities, particularly in rural and urban populations, through patient-centered and community-informed approaches. Survey Data Collection : Design and implement survey tools such as REDCap or Qualtrics, and collect, manage, and analyze diverse datasets, including EHR (EPIC), surveys, interviews, and population-level data. Qualitative Quantitative Analysis: Conduct interviews or focus groups, perform statistical and thematic analyses, and apply appropriate models (e.g., regression, ANOVA) to explore outcomes and associations. Digital Health Informatics : Leverage data from EHRs, patient portals, mobile health apps, and wearables to generate insights, predictive models, and decision-support tools; collaborate with informatics teams to evaluate and optimize digital intervention. AI, Predictive Modeling Data Visualization : Utilize methods such as machine learning / predictive modeling to identify trends or high-risk groups, and develop interactive dashboards (e.g., Tableau, Power BI, R, SAS) to communicate findings. Open Science Data Stewardship : Maintain reproducible research practices, ensure data quality and compliance, and uphold IRB and ethical standards throughout project execution. Community Engagement : Collaborate with patients, clinicians, and community stakeholders to ensure research benefits all. Career Interdisciplinary Engagement : Collaborate closely with patients, clinicians, community partners, and researchers across disciplines (public health, epidemiology, behavioral science, informatics) to ensure equitable impact and effective dissemination. Interdisciplinary Collaboration : Partner with researchers in public health, health services, epidemiology, behavioral sciences, and informatics to guide study design and dissemination. Perform other related duties and participate in special projects as assigned.