Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.
EU
Hybrid Research Fellow/Trainee – Women's Health, Data Science, Health Information Technology, School of Nursing
Posted yesterday
About the role
- Research Fellow/Trainee in Women's Health using Data Science and Health Information Technology. Developing interdisciplinary research skills and methodologies focusing on health research.
Responsibilities
- Work on 'Women's Health and Intersectionality Using Data Science and Health Information Technology'
- Develop knowledge and skills in interdisciplinary research methods
- Understand and apply DS and/or HIT methodologies
- Develop and test interventions using innovative approaches in health research
- Engage in research activities and training seminars
- Collaborate with mentors on research projects and preparation of grants
Requirements
- Must be a citizen or non-citizen national of the United States
- Must submit official transcripts from previous and/or current institutions
- Must submit 3 reference letters
- Should be either enrolled in or graduated from a research-focused doctoral program at the time of application
- Must submit curriculum vitae and a brief description of research goals
- Must include alignment with the goals of the T32
Benefits
- Remote Work Classification Hybrid
- 15 hours a week of work on faculty research over several semesters
- Participation in an interdisciplinary center on campus that relates to the trainee's research area
Job title
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