Research Scientist Senior
New York, NYAll locationsNew York, NYChicago, IL, New York, NYChicago, ILIN-INDIANAPOLIS, 220 VIRGINIA AVEGA-ATLANTA, 740 W PEACHTREE ST NWNY-NEW YORK, ONE PENN PLAZA, 35TH & 36TH FLTX-GRAND PRAIRIE, 2505 N HWY 360, STE 200 & 300IL-CHICAGO, 233 S WACKER DR, STE 3700 Hybrid
$156,464–$256,032 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
This role requires associates to be in-office 1 - 2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Ideal candidates will be able to report to one of our Pulse Point locations in Indianapolis, IN, Atlanta, GA, Grand Prairie, TX, Chicago, IL or New York, NY. Alternate locations may be considered if candidates reside within a commuting distance from an office. The Research Scientist Senior is responsible for prospective and retrospective health economic research activities. Responsible for leadership in assessing scientific research that contributes to the transformation of health outcomes research to achieve a substantial national/global leadership. This role will focus on the design, development, evaluation, and deployment of advanced machine learning and reinforcement learning systems that optimize healthcare and operational decision-making.
What you'll bring
- Requires a PhD in health service research, biostatistics, epidemiology, health policy, economics or related field, or a clinical degree such as an MD or PharmD with residency or fellowship research training, a minimum of 10 years of experience conducting health outcomes research using health plan administrative databases, including pharmacy and medical claims data, and a demonstrated record of peer-reviewed publications and/or presentations at scientific conferences
- or any combination of education and experience which would provide an equivalent background.
- Experience building end-to-end machine learning systems and production AI infrastructure highly preferred.
- Experience with reinforcement learning, predictive modeling, recommendation systems, or adaptive decision systems highly preferred.
- Experience with cloud-native ML environments, distributed computing, and MLOps practices highly preferred.
- Experience with healthcare AI, clinical decision support, or intelligent automation systems in regulated industries highly preferred.
- Experience operationalizing Generative AI or LLM-enabled workflows preferred.
- Managed care, PBM, pharmaceutical, or related experience preferred.
- The salary offered for this specific position is based on a number of legitimate, non-discriminatory factors set by the Company.
- The Company is fully committed to ensuring equal pay opportunities for equal work regardless of gender, race, or any other category protected by federal, state, and local pay equity laws.
- The salary range is the range Elevance Health in good faith believes is the range of possible compensation for this role at the time of this posting.
- This range may be modified in the future and actual compensation may vary from posting based on geographic location, work experience, education and/or skill level.