Senior Staff Associate/Staff Associate
Columbia University’s Department of Biomedical Informatics is seeking a qualified candidate with interest in translational (research-to-practice) and implementation research with an emphasis on technology-based interventions. The qualified candidate will participate in IRB-approved research studies to promote informed/shared decision-making on risk-stratified breast cancer prevention, integration of clinical decision support and patient decision aids, understanding technology adoption, work processes and practices, and innovative approaches to complex informatics implementation problems. Our NIH funded research is conducted by an interdisciplinary research team and builds on the strength of the resource-rich environment at Columbia University and the Columbia University Medicine Center (CUMC). The qualified candidate will be co-mentored by Dr. Rita Kukafka (Professor of Biomedical Informatics and Sociomedical Sciences) and Dr. Kathy Crew (Associate Professor of Medicine and Epidemiology).
This position is enabled by NIH funded research.
Senior Staff Associate – Bachelor’s degree or equivalent in Biomedical or Health informatics, Implementation Science, Public Health plus 8 years of experience.
Staff Associate – Bachelor’s degree or equivalent in Biomedical or Health informatics, Implementation Science, Public Health plus 4 years of experience.
Have strong project management skills;
Have experience with computer programming in popular languages such as Python or Java;
Have experience in implementation science research, evaluation, and mixed methods research designs;
Have outstanding written and oral communications skills;
Have experience with statistical analysis; computational and/or mathematical models.
If you are interested in applying for this position. Please use link provided https://pa334.peopleadmin.com/postings/2374 and submit an application for the position of Senior Staff Associate/Staff Associate, Job Requisition Number 0000346.
Columbia University is an Equal Opportunity and Affirmative Action Employer.