Biostatistician
Elevance Health

Biostatistician

Location: This position will work a hybrid model (remote and in office one to two days per week). Ideal candidates will live within 50 miles of our Pulse Point location in Denver, CO.

The Biostatistician is responsible for developing and implementing clinical prediction models, experimental design, program evaluation and effectiveness methodologies, and statistical sampling for health plan functions. Performs substantive statistical analyses and reporting to improve company competitiveness, market share, operations, and profitability.

How you will make an impact:

• Develops and implements prediction models for member and provider-based interventions.
  
• Conducts competitive analysis of risk stratification models and makes recommendations to management.
  
• 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 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.
  

Minimum Requirements:
Requires a MS in Biostatistics, Statistics or related field; 3 years healthcare and/or consumer data analysis experience; 2+ years of experience in the development of predictive models; 3 years coding experience with SAS; 3 years of experience manipulating and processing large multi-source datasets with SAS and SQL programming tools; or any combination of education and experience, which would provide an equivalent background.

Preferred Skills, Capabilities and Experiences:

• Experience with industry standard clinical code sets, predictive modeling risk adjustment tools and episode groupers and measures, such as HEDIS, strongly preferred.
  
• Expertise in Panalgo Instant Health Data (IHD) tool strongly preferred.
  

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