Clinical Data Scientist, Real World Evidence

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

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 Clinical Data Scientist, Real World Evidence (RWE) will design and deliver advanced analytics solutions that generate robust, transparent, and scalable real-world evidence. This role operates with a high degree of autonomy across complex and ambiguous problems, leading sophisticated analyses, developing and validating novel methodologies, and operationalizing analytics across diverse real-world data sources. As a key contributor within the Global RWE function, this individual will lead analytic strategy for priority initiatives, serve as a subject-matter expert, and mentor team members. The role partners closely with scientific, clinical, regulatory, and data stakeholders to translate data into actionable evidence and advance RWE analytics capabilities across the organization.

Work model, sponsorship, relocation:

At Boston Scientific, we value collaboration and synergy. 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 Minnesota 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:

RWE Analytics & Study execution

• Translate clinical and scientific questions into robust analytic plans and reproducible pipelines using EHRs, claims, registries, and other real‑world data.
• Lead data integration, causal inference, survival and comparative effectiveness analyses, feasibility assessments, and outcomes research with rigorous validation.
• Serve as analytic lead for priority studies, guiding study design and ensuring fit‑for‑purpose, regulatory‑aligned evidence.

Advanced Analytics & Data enablement

• Develop and deploy advanced analytics, including predictive modeling, AI/ML, phenotyping, and NLP for unstructured data.
• Design clear data visualizations and dashboards to communicate insights.
• Partner with data engineering teams to enable scalable analytics environments and pipelines; lead pilots to assess new data sources and methods.

Data Quality, Governance & Reproducibility

• Build reusable, version‑controlled pipelines with strong quality checks, documentation, and lineage.
• Implement validation and monitoring of data, analyses, and models over time.
• Contribute to data governance and champion reproducible research and code review best practices.

Reporting, Communication & Scientific contributions

• Support interpretation and communication of results through reports, publications, presentations, and regulatory‑aligned materials.
• Present complex analyses clearly to technical and non‑technical stakeholders.
• Help resolve data and infrastructure issues supporting study execution.

Collaboration, Leadership & Impact

• Partner cross‑functionally to align RWE analytics with organizational priorities.
• Act as a trusted analytic advisor influencing evidence strategy and prioritization.
• Mentor analysts and balance near‑term delivery with long‑term capability building.

Required qualifications:

• Minimum Bachelor’s degree or advanced degree in data science, biostatistics, epidemiology, computer science, or a related field, or equivalent experience.
• Minimum of 8 years' with Bachelor’s degree experience or 5 years with a Master’s degree applying advanced analytics to real-world health care data, including electronic health records, claims, or registries
• Proven proficiency in modern data science tools and programming languages (e.g., Python, R, SQL)
• Demonstrated expertise in statistical and machine learning methods relevant to real-world evidence
• Proven experience communicating analytic findings to cross-functional and senior stakeholders (Clinical, R&D, Health and market access teams)

Preferred qualifications:

• Proven experience supporting regulatory-aligned evidence generation.
• Proven experience working in a global or matrixed environment.

Requisition ID: 628074

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) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commens