Senior HEOR Manager

Additional Location(s): US-MN-Arden Hills; US-MA-Marlborough

Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.                

 

About the role:

The Senior Health Economics and Outcomes Research (HEOR) Manager designs, executes, and advises on health economic modelling and outcomes research for the Cardiology Division at Boston Scientific (BSC). This is a senior, technical position where you'll be hands on in building/adapting a variety of health economic models and completing research projects using administrative claims and other real-world data (RWD) to develop global value messaging to support market access for BSC products and therapies.  This role does not have direct reports but serves as a mentor and technical advisor to other members of the HEOR team and has multi-divisional influence. This role offers a hybrid work schedule approximately three days per week and can be based out of our office in Arden Hills, MN or Marlborough, MA.

 

Your responsibilities will include:

• Lead development and execution of generation of HEOR evidence to demonstrate the economic value of our BSC products through economic evaluation (budget impact models/analyses, cost-effectiveness analyses, cost-utility analysis), retrospective claims database analyses, burden of illness analyses, decision modelling, patient reported outcomes and survey research, and evidence synthesis (targeted literature reviews, systematic literature reviews, etc.) 
• Serve as an expert on study design, methodology, and interpretation of health economic evaluation including deterministic and probabilistic decision-analytic modelling, and other methods used for decision-making and health technology assessment.   
• Engage cross-functional internal teams (including health economics and market access, medical affairs, clinical, and marketing) and key external stakeholders (including physicians, government representatives, payers) to develop and communicate economic value messages to support product adoption. 
• 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.
• Work on large scale problems that impact development of global value messaging and market access. 
• 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. 

 

 

Required qualifications:

• 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).
• 10+ 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 advanced health economic modelling outputs, including cost-effectiveness analyses, budget impact models, 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.
• Practical experience and expertise in using decision analysis software (Excel, Visual Basic for Applications/VBA, TreeAge, R), statistical analysis software (e.g., SPSS, SAS, Instant Health Data (IHD), STATA, R), replicability software (Git and GitHub), and statistical methodologies (e.g., logistic regression, generalized linear mixed models).
• Experience in partnering with a clinical function to complete global economic evaluation of clinical trials, including the inclusion of clinical and cost parameters in clinical trials, including, case report form development, handling sampling uncertainty, and transferability of the results from trials.
• 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 s