Job Description Implement HEOR studies from inception to completion, including preparing study protocols, statistical analysis plan (SAP), study reports, abstracts and manuscripts. Perform statistical analysis using real-world large healthcare databases (e.g., insurance claims, electronic medical records, hospital discharge database, and registry). Conduct literature search, review and synthesis; review and critique medical and evidence-based outcomes literature & statistical analyses. Deliver and present the results/findings through congress abstracts and/or manuscripts where possible. Carry out time-sensitive statistical data analysis to find patterns, trends, insights and inconsistencies in large database to support evidence based decision making. Interacts with and presents findings to multiple departments within including global market access, HTA, clinical affairs, market research, clinical and product marketing, and publication teams. Builds relationships with Key Opinion Leaders across stakeholder landscape: Physicians, Providers, Payers, Policy makers & Professional Societies to deliver and reinforce the value message of robotic- assisted surgery in key clinical areas. Track the HEOR project plan, the timelines, and the deliverables across HEOR studies to assure the deliverables are aligned with the strategic goals in a timely manner. Master’s degree in Health outcomes/services research, Epidemiology, Biostatistics or related field. 2+ years of experience analyzing real-world large healthcare database (e.g., insurance claims, electronic medical records, hospital discharge database, and registry) and knowledge of propensity score matching and inverse probability treatment weighting is desirable. Proficient in statistical programming using R, SQL, Python, SAS and other analytical tools. Keen business acumen in understanding the needs from customers and outstanding ability to communicate technical information to non-technical audiences. Preferred Qualifications: Doctorate degrees in Health outcomes/services research, Epidemiology, Biostatistics or related field. 4+ more years of experience in conducting RWE studies using large healthcare database and/or health economic modeling. Record of publications in health economics, health services research, epidemiology or clinical journals. Experience of supporting global data, evidence, marketing, and market access needs. Experience working in a fast-paced environment within a global matrix organization; working with various multi-disciplinary teams. #J-18808-Ljbffr Cynet systems Inc
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