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Form of work Job Description:
Pay Range $55hour - $ 60hour
Education and Training Requirements:
Pay Range $55hour - $ 60hour
- Participate in the development of HEOR research strategies that support the value proposition for products in key clinical areas.
- 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 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 the company 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.
Education and Training Requirements:
- Masters degree in Health outcomes/services research, Epidemiology, Biostatistics or related field.
- 2+ more years of experience analyzing real-world large healthcare databases (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.
- Doctorate degrees in Health outcomes/services research, Epidemiology, Biostatistics or related field.
- 4+ years of experience in conducting RWE studies using large healthcare databases and 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.
