The Center for Behavioral Cardiovascular Health has been at the forefront of developing virtual interventions (e.g., home BP telemonitoring, iHeart enhanced depression screening app, and COVID remote care program) to improve the management of hypertension, depression, and COVID. We are looking for motivated mentees to help us organize and analyze a wide-breadth of patient data from the Columbia-New York Presbyterian data warehouse to understand the impact of the interventions on patient outcomes. The mentee would work alongside highly experienced biostatisticians and our Center’s professionalized data team managers. The mentee will develop expertise in analyzing health system data and will inform decisions to modify, sustain, or de-implement existing programs.

This project is eligible for a matching fund stipend from the Data Science Institute. This is not a guarantee of payment, and the total amount is subject to available funding.

Faculty Advisor

  • Professor: Ian Kronish
  • Center/Lab: Center for Behavioral Cardiovascular Health
  • Location: 622 W.168th Street, PH9 New York, NY 10032
  • The Center for Behavioral Cardiovascular Health (CBCH) is a leader in cutting-edge behavioral medicine research, comprised of an interdisciplinary team of scientists dedicated to understanding how and why behaviors, psychological factors, and societal forces influence hypertension and cardiovascular disease. Our Implementation Science laboratory (Im_Sci Lab) is dedicated to developing novel implementation science methods, training a new generation of implementation scientists, and conducting impact focused, mechanistically driven, dynamic interventions for reducing cardiovascular disease disparities.

Project Timeline

  • Earliest starting date: 9/27/21
  • End date:
  • Number of hours per week of research expected during Fall 2021: ~8
  • Number of hours per week of research expected during Summer 2022: ~8

Candidate requirements

  • Skill sets: Existing skills managing and analyzing large datasets using statistical software including R, SPSS, or SAS.
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes
  • Additional comments: Must be willing to encrypt their personal computer according to data security requirements of CUIT; must complete IRB trainings