Biostatistician conducting advanced analytics for health research projects using machine learning and claims data. Responsible for predictive modeling and client recommendations while ensuring data integrity.
Responsibilities
Develops and implements prediction models for RWE and HEOR studies
Conducts competitive analysis of risk stratification models and makes recommendations to clients
Designs and executes care management program evaluations
Develops evaluation methodologies for measuring the effectiveness of clinical programs
Researches and analyzes broadly defined business scenarios, trends, and patterns and develops recommendations for clients
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
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