Responsible for conducting healthcare data analyses and retrospective observational studies to evaluate clinical and pharmacy programs, healthcare utilization, and total cost of care.
Locations (5)
Atlanta, Georgia, United States
Tampa, Florida, United States
Grand Prairie, Texas, United States
Indianapolis, Indiana, United States
Mason, Ohio, United States
Compensation
market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs
Responsibilities
Designs and conducts retrospective observational studies to evaluate the clinical and financial impact of healthcare and pharmacy programs using large-scale medical and pharmacy claims data.
Applies advanced statistical methodologies, including propensity score matching (PSM), difference-in-differences (DiD), regression analysis, and risk adjustment, to assess program effectiveness, healthcare utilization, and outcomes.
Develops appropriate analytical study designs, including identification of study populations, comparison groups, baseline and follow-up periods, outcome measures, and statistical approaches.
Extracts, integrates, manipulates, and analyzes large and complex healthcare datasets, including medical claims, pharmacy claims, and member eligibility data.
Develops, modifies, and maintains statistical programs using Python, R, and/or SAS, with an emphasis on transitioning analytical workflows to Python and R.
Requirements
BS/BA degree in related field
Nice to have: medical and pharmacy claims data
Nice to have: longitudinal analyses
Nice to have: health economics and outcomes research (HEOR)
Conduct applied empirical research in health economics, health services research, and health policy alongside research-active faculty.
Responsibilities
Explore new datasets and propose potential research questions and identification strategies to faculty.
Contribute to study design and protocol development, including discussions of causal identification strategies, data requirements, and advanced analytic approaches.
Clean, manage, and analyze research datasets with limited direction, maintaining reproducible, well-documented code.
Draft tables, figures, methods sections, and other components of manuscripts, conference abstracts, posters, and internal memos.
Summarize data and preliminary findings for faculty and research teams.
Requirements
Master’s or doctorate degree in economics, public policy, health policy, health services research, or a closely related field
Lead the development and implementation of advanced causal measurement and experimentation frameworks to drive marketing and business decisions at AT&T.
Compensation
Our Director-Advanced Analytics jobs earn between $210,600.00 - $316,000.00 USD Annual.
Responsibilities
Establish AT&T’s Marketing Causal Truths
Develop AT&T’s causal measurement architecture
Build scalable causal models
Embed causal evidence into forecasting and optimization
Data Analyst 3UOMUOMUS · Coral Gables, US