Biostatistician-Healthcare Research

About the position Biostatistician-Healthcare Research Locations: 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. Alternate locations may be considered if candidates reside within a commuting distance from an office Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. PLEASE NOTE: This position is not eligible for current or future VISA sponsorship. The Biostatistician-Healthcare Research 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: Serves as a statistical subject matter resource on Carelon Research’s integrated healthcare database. Uses pharmacoepidemiologic methods to assess the safety and effectiveness of drugs and other biologic interventions. Uses a large claims database to conduct studies which focus on improving health outcomes. Leads data management activities by developing programming requirement documents and/or using Instant Health Data (IHD)/SAS/R. Supports the development of protocols, statistical analysis plans (SAPs), uptake monitoring reports, final reports, and publications. Supports the development of protocols, SAPs, tables, figures, and listings (TFLs), and timelines. Leads data analysis activities (e.g. comparative safety and effectiveness analyses, validation, adherence, natural history, and drug utilization studies) following protocol/statistical analysis plan (SAP) development. Creates tables, figures, and other report and publication materials. Articulates methods, progress, and results to study team. Performs quality control to ensure integrity of analysis. Participates in process and/or scientific initiatives. Develops and implements predictive models using artificial intelligence/machine learning methods Responds to and manages ad hoc client requests to ensure accurate, in-depth results/data are delivered in a timely manner. 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. Prepares results for presentation to internal/external clients Presents research findings to management and clients.

Responsibilities

• Serves as a statistical subject matter resource on Carelon Research’s integrated healthcare database.
• Uses pharmacoepidemiologic methods to assess the safety and effectiveness of drugs and other biologic interventions.
• Uses a large claims database to conduct studies which focus on improving health outcomes.
• Leads data management activities by developing programming requirement documents and/or using Instant Health Data (IHD)/SAS/R.
• Supports the development of protocols, statistical analysis plans (SAPs), uptake monitoring reports, final reports, and publications.
• Supports the development of protocols, SAPs, tables, figures, and listings (TFLs), and timelines.
• Leads data analysis activities (e.g. comparative safety and effectiveness analyses, validation, adherence, natural history, and drug utilization studies) following protocol/statistical analysis plan (SAP) development.
• Creates tables, figures, and other report and publication materials.
• Articulates methods, progress, and results to study team.
• Performs quality control to ensure integrity of analysis.
• Participates in process and/or scientific initiatives.
• Develops and implements predictive models using artificial intelligence/machine learning methods
• Responds to and manages ad hoc client requests to ensure accurate, in-depth results/data are delivered in a timely manner.
• 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.
• Prepares results for presentation to internal/external clients
• Presents research findings to management and clients.

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
• or any combination of education and experience, which would provide an equivalent background.

Nice-to-haves

• Experience conducting data management and analyses in claims databases highly preferred.
• Experience using Panalgo’s Instant Health Data (IHD) highly preferred.
• Experience using SAS highly preferred.
• Experience using R preferred.

Benefits

• We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.

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