The successful candidate will help support big data management and
analytic needs for a cross-disciplinary project aimed at developing
innovative ways to harmonize, process, and share digital health data
collected by the Researching COVID to Enhance Recovery (RECOVER) Consortium,
a research initiative of the National Institutes of Health (NIH) to
understand, prevent, and treat Post-Acute Sequelae of SARS-CoV-2 (PASC),
including Long COVID. The candidate will also assist the QuantDev unit in
providing statistical and methodological consultations on development and
application of latent variable methods; implementing testable models of
causal processes in development, family systems, education, and health; and
providing power analysis and other analytic support for grant applications.