The Center for the Advancement of Research on Eating Behaviors (CARE) at the University of Kansas (care.ku.edu) is seeking an Associate Researcher to support its multidisciplinary program focused on advancing the early detection, assessment, diagnosis, and treatment of eating disorders across the lifespan. CARE conducts large-scale, federally funded research that integrates clinical science, implementation science, and digital health innovation to improve outcomes for individuals with eating disorders and related mental-health conditions. This position is designed to provide intensive research and clinical training to prepare the successful candidate for an academic or clinical scientist career. The Associate Researcher will contribute to and lead aspects of ongoing federally funded studies, including the Building Healthy Eating and Self-Esteem Together for University Students (BEST-U) trial, Smart Technology for Anorexia Nervosa Recovery (STAR) trial, Department of Defense-funded projects focused on eating pathology in military and veteran populations, and additional NIH- and endowment-supported research. CARE also houses extensive existing data resources, including: A longitudinal sample of more than 3,000 individuals with eating disorders collected in collaboration with Recovery Record. Nationally representative datasets of veterans and military members examining eating pathology, comorbidities, and health care utilization. A longitudinal dataset of approximately 300 individuals with eating disorders, assessed every six months over three years, with the possibility of additional long-term follow-up funding. The Associate Researcher will receive co-supervision from Dr. Angeline Bottera (CARE Associate Director), whose program of research focuses on mobile-health (mHealth) interventions and circadian dysfunction in eating disorders, providing a rich and diverse array of research and scholarship opportunities. This position is located at the University of Kansas-Lawrence. Following an initial onboarding and training period, limited hybrid work flexibility may be available based on project needs and supervisor approval.
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Job Type
Full-time
Career Level
Mid Level
Industry
Ambulatory Health Care Services
Education Level
Ph.D. or professional degree
Number of Employees
5,001-10,000 employees