Biostatistician – Health Services Research
About the position The Biostatistician – Health Services Research is responsible for Carelon Research research line of business; specific projects ranging from retrospective to large-scale, prospective studies in areas including population health, health economics, clinical effectiveness (drug, procedures, vaccine, and medical device), and implementation sciences. This role will perform substantive statistical analyses and reporting to conduct research studies for Elevance Health, Carelon, and external clients.
Responsibilities
- Executes statistical analyses plans independently with effective problem solving and decision making across a broad program of studies related to a therapeutic area/healthcare intervention and/or external collaborator.
- Collaborates with project team members to implement the study design and statistical analyses plans utilizing advanced statistical techniques such as propensity score modeling, GEE (generalized estimate equation), difference-in-difference, and graduate-level statistics in performing research study design and analysis.
- Conducts review of administrative claims, electronic medical records, survey and clinical data and statistical output and review of statistical output to ensure the superior quality of research activities and client deliverables.
- Develops and implements prediction models for member and provider-based interventions.
- Researches and analyzes broadly defined business scenarios, trends, and patterns and develops recommendations for management.
- Provides technical/analytical advice to staff.
- Responds to and manages ad hoc client requests to ensure accurate, in-depth results/data are delivered in a timely manner.
- Prepares results for presentation to internal/external clients.
- Presents research findings to management and clients.
- Compiles results of studies for journal publication.
Requirements
- Requires a MS in Biostatistics, Statistics or related field
- 3 years healthcare and/or consumer data analysis experience
- 2+ years experience in the development of predictive models
- 3 years coding experience with SAS
- 3 years experience manipulating and processing large multi-source datasets with SAS and SQL programming tools
- Any combination of education and experience, which would provide an equivalent background.
Nice-to-haves
- Ph.D. strongly preferred.
- Postgraduate or post-doctoral training or relevant experience in conducting observational and/or prospective research studies.
- Understanding of the U.S. health care system, population health, and implementation sciences is strongly preferred.
- Proficient in statistical software, including SAS, STATA, R, and/or Python strongly preferred.
- Proficient in data management tools, including SQL strongly preferred.
Benefits
- comprehensive benefits package
- incentive and recognition programs
- equity stock purchase
- 401k contribution
- paid holidays
- Paid Time Off
- incentive bonus programs
- medical
- dental
- vision
- short and long term disability benefits
- 401(k) +match
- stock purchase plan
- life insurance
- wellness programs
- financial education resources
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