Principal Data Strategist, Real World Evidence (RWE)

Principal Data Strategist, Real World Evidence (RWE) Location: Marlborough, MA, US, 01752 Additional Locations: US-MA-Marlborough; US-MN-Arden Hills 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 Principal Data Strategist, Real World Evidence (RWE) will lead enterprise real‑world data (RWD) strategy and advanced analytics initiatives that support scalable, regulatory‑aligned evidence generation across Boston Scientific. This role combines strategic leadership in data sourcing, vendor assessment, governance, and long‑term data planning with deep expertise in real‑world evidence, epidemiology, and data science. Operating with a high degree of autonomy, the incumbent will shape fit‑for‑purpose RWD strategies, evaluate and operationalize external data assets, and lead advanced analytics initiatives using EHRs, claims, registries, and linked healthcare data. The role partners closely with Clinical, Medical Affairs, Regulatory, HEMA, IT, Biostatistics, Quality, and R&D stakeholders to advance both immediate evidence generation priorities and long‑term data capabilities. This role follows a hybrid work model requiring employees to be in our local office at least three days per week at our Marlborough, MA or Arden Hills, MN office. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time. Your responsibilities will include: Data Strategy & Vendor Management Support enterprise RWD strategy development and long‑term data planning aligned with evidence generation priorities. Evaluate and operationalize external data assets including EHR, claims, registry, and emerging healthcare data sources. Lead vendor assessments and data source evaluations including quality, linkage feasibility, scalability, governance, and regulatory suitability. Partner cross‑functionally to support data acquisition, governance, integration, and scalable analytics infrastructure. Provide strategic guidance on fit‑for‑purpose data selection, feasibility assessments, and analytic approaches. Study Design & Execution Lead the design, development, and evaluation of RWE study protocols, including cohort definitions, endpoints, and analytic plans. Collaborate with KOLs and stakeholders to ensure robust analytical approaches and clinically meaningful outputs. Validate methodologies and results, ensuring transparency, reproducibility, and audit‑readiness. Apply rigorous epidemiologic and statistical methods to address bias, confounding, and data limitations. Translate study findings into impactful reports and actionable insights to support evidence generation, value messaging, publications, regulatory submissions, and strategic decision‑making. Ensure alignment of study design and execution with regulatory and methodological guidance. Oversee feasibility assessments, including data availability, fit‑for‑purpose evaluations, and study design optimization. Execute end‑to‑end RWE studies, from protocol development through analysis, interpretation, and dissemination of results. Advanced Analytics, Communication & Leadership Develop advanced analytics solutions including predictive modeling, AI/ML methodologies, phenotyping, and NLP applications. Design dashboards and visualizations to communicate insights and support decision‑making. Establish and promote best practices for data science, reproducible research, validation, and governance. Support publications, presentations, and regulatory‑aligned scientific communications. Partner cross‑functionally and mentor team members to advance organizational analytics and RWE capabilities. Required qualifications Minimum Bachelor’s degree or advanced degree in data science, biostatistics, epidemiology, computer science, health informatics, or a related field, or equivalent experience. Minimum of 10 years of experience with a Bachelor’s degree or 8 years with a Master’s degree in real‑world evidence, healthcare analytics, data science, epidemiology, or related disciplines. Proven experience working with real‑world healthcare data including electronic health records, claims, registries, and linked datasets. Demonstrated expertise in observational research methods, epidemiology, causal inference, and advanced statistical or machine‑learning methodologies. Proven proficiency in Python, R, SQL, and modern analytics environments. Experience evaluating external healthcare data assets and working with data vendors or strategic data partnerships. Strong communication and stakeholder management skills across technical and business audiences. Preferred qualifications Experience supporting regulatory‑aligned evidence generation and health authority interactions. Experience leading enterprise or cross‑functional data strategy initiatives. Experience with healthcare data linkage methodologies, tokenization, or distributed data environments. Experience applying AI/ML or NLP methodologies within healthcare or RWE settings. Experience working within a global or matrixed organization. Salary and Benefits Minimum Salary: $106800 Maximum Salary: $202900 The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) will vary based on actual location of the position and other factors considered in determining compensation. Compensation will be commensurate with demonstrable level of experience and training. Equal Employment Opportunity Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class. #J-18808-Ljbffr