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Principal Health Economics and Outcomes Research Economist
1 month ago
We are seeking a highly skilled Principal Health Economics and Outcomes Research Economist to join our team at Boston Scientific. As a key member of our Health Economics and Outcomes Research (HEOR) team, you will be responsible for identifying evidence gaps for our products, developing research strategies, executing HEOR analysis, and communicating results.
Key Responsibilities- Develop and implement health economics and outcomes research activities for the Neuromodulation division, partnering with the Health Economic and Market Access (HEMA) team and key internal and external stakeholders to develop HEOR to support the market adoption of key products and advance understanding of specific disease areas.
- Lead the development of HEOR projects, including developing research protocols, selecting appropriate statistical methodologies, conducting data analyses using statistical analysis software, interpreting the study results, and communicating key findings to senior leadership.
- Develop and execute HEOR to develop evidence to demonstrate the economic value of our BSC products through economic evaluation, retrospective claims database analyses, burden of illness analyses, decision modelling, patient reported outcomes and survey research, and evidence synthesis.
- Identify opportunities where HEOR can support challenges facing emerging technologies and commercially marketed products and communicate business impact to senior management.
- Work with new product development teams to ensure HEOR needs are incorporated into product development, clinical evidence plans, and timelines.
- Author and publish papers in peer-reviewed journals and present research findings and their importance at HEOR and clinical conferences and meetings.
- Build relationships with key opinion leaders in medical devices and health care industry.
- Provide HEOR-related training to sales, marketing, clinical, regulatory, and legal to increase awareness and understanding of HEOR competency and its role in supporting market adoption of products and therapies.
- Formal training in health economics, pharmacoeconomics/pharmaceutical Economics, public health, health services research, epidemiology, biostatistics, or related discipline (Masters' degree, PhD, PharmD, MD, or related fields of study).
- 7+ years relevant experience in HEOR, preferably with experience working with new medical technologies in medical device, pharmaceutical, or biotechnology.
- Proven track record of building and delivering administrative claims database analysis through abstracts/publications and/or interactive model applications in medical device industry.
- History of developing, authoring, and presenting peer-reviewed publications and abstracts.
- Proven track record of presenting peer-reviewed evidence at clinical and industry conferences.
- Demonstrated success developing HEOR evidence strategies aligned with business needs, including the ability to influence senior leadership.
- Practical experience and expertise in using statistical analysis software (e.g., SPSS, SAS, Instant Health Data (IHD), STATA, R), and statistical methodologies (e.g., logistic regression, generalized linear mixed models).
- Understanding of global and US healthcare reimbursement, policy, health technology assessment (HTA), pricing, and market landscape assessments, including evaluation of evidence for coverage decisions.
- Strong communication skills and experience developing interpersonal relationships with internal and external stakeholders across multiple functional areas.
- Demonstrated ability to make effective decisions independently and to work in a fast-paced matrix environment with minimal supervision.
- 10+ years relevant experience in HEOR, preferably with experience working with new medical technologies in medical device, pharmaceutical, or biotechnology.
- Successful first or last authorship on multiple peer-reviewed publications and abstracts.
- Proven track record of building and delivering health economic modelling outputs, including cost-effectiveness analyses, and budget impact models.
- Practical experience and expertise in using decision analysis software (Excel, Visual Basic for Applications/VBA, TreeAge, R).
- Direct experience working with neurostimulation implantable devices, movement disorders and pain management.