Research Fellow/Trainee – Women's Health, Data Science, Health Information Technology, School of Nursing

Role Overview

• 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