New Brunswick, NJ - Statistician - Level III

Job Description:

• The Evidence Based Medicine (EBM) group consults with all of the MD&D Franchises to help demonstrate Value Proposition (Effectiveness and Affordability) for our products and services
• Healthcare Informatics team within the EBM group undertakes observational research to support development, launch and post-marketing assessment of MD&D products
• The team provides analytical services using large administrative, patient-level databases to answer a variety of question involving Clinical R&D, Safety, HEOR, Commercial Assessment and Marketing activities
• The principal goal of this position is to support EBM research analyzing patient-level database(s) to evaluate disease natural history, standard of care, cost/reimbursement patterns, market size, site of care, co-morbidities, clinical, safety and health economic outcomes for R&D decision support and assessment of new innovative technologies
• This position will work closely with colleagues within EBM team to formulate and address research questions using a variety of analytical and data-mining techniques
• The person will provide rapid analysis to help inform product related decisions at Franchise and GOC level
• The position will also help disseminate analytical information through white papers, publication in peer-reviewed literature, and reports for submission to regulatory and/or payor bodies

REQUIREMENTS:

• PhD degree in Public Health, Health Economics, Biostatistics, Epidemiology or a related field required
• Experience in Cost/Utilization analysis a plus
• Minimum 5 years of experience working with large administrative, patient-level databases is required
• Strong expertise in SAS is needed
• An understanding of observational and experimental study designs, as well as and quantitative methods is required
• Strong written and verbal communication skills, a strong publication/presentation record as well as ability to work independently is desirable
• Pharmaceutical/Medical Device industry experience preferred

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