Post-Doctoral Research Associate (Informatics - Center 4 Health Research)
- 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.
- A Ph.D. in public health, health informatics, health services research, epidemiology, behavioral science, data science, or a related discipline.
- Strong background in qualitative and quantitative research methods, with experience in conducting and analyzing qualitative interviews or focus groups using tools such as NVivo.
- Experience in survey design and implementation using tools such as REDCap, Qualtrics, or similar platforms.
- Proficiency with at least one programming language for data analysis (e.g., Python, SAS, R).
- Experience working with healthcare or secondary datasets, including data cleaning and management.
- Excellent written and oral communication skills.
- Ability to work independently and collaboratively in a multidisciplinary team setting.
- Experience with GIS mapping.
- A strong commitment to community-engaged research and reducing health disparities.
- Experience with digital health technologies, such as patient portals, telehealth, or mobile health applications
- Familiarity with machine learning/predictive modeling in healthcare.
- Experience with big data tools (SQL, Spark) or cloud-based platforms (Azure, AWS). Proficiency in Spanish or other languages is highly desirable to support community-based research.
- A cover letter detailing your research interests and why you are interested in this position.
- A current curriculum vitae (CV) or resume.
- Contact information for at least two professional references.
- Any additional documents or publications demonstrating your research expertise.
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