Biometrics/biostatistics, Data analysis/processing
Summary Job Description: The Department of Obstetrics and Gynecology at Columbia University Irving Medical Center (CUIMC) is recruiting a faculty member to join the epidemiology and biostatistics team. The rank (Assistant or Associate) and track (tenure or non-tenure) will be commensurate with credentials and experience.
The appointee is expected to perform the following functions: conduct research and seek extramural grant funding in women’s health and/or relevant biostatistical methods; collaborate with investigators in the OBGYN department by providing expertise in statistical methodology especially applying and/or developing data collection and analytic tools; provide statistical support/service to the OBGYN investigators and fellows; and mentor data analyst, programmer, research coordinator, and/or postdoctoral fellows in statistics.
Columbia University is an Equal Opportunity/Affirmative Action employer
Minimum Qualifications: Eligible candidates must have the following qualifications: a doctoral degree in Biostatistics, Statistics, or a related discipline; strong interpersonal skills; excellent written and verbal communication skills. For associate professor level candidates, a record of independent and collaborative research is required.
Preferred Qualifications: Training and/or experience in women’s health, medicine; be a team player capable of working in dynamic group environment; computer skills.
About Columbia University Irving Medical Center
Columbia University Irving Medical Center’s Department of Obstetrics & Gynecology has long been a leader in advancing women’s reproductive health care. Our team has led efforts that have improved fetal and maternal outcomes in New York State and nationally, and continue to raise awareness and build consensus to improve quality and safety for our patients and women across the country. We provide life-saving care to women of all ages, and through clinical practice, research, and advocacy, we work to ensure that women have a better quality of life.