Graduate Clinical Insights Research Intern

About the Role:

As a Graduate Clinical Insights Research Intern your role will support key commercialized products by developing and executing clinical research activities using real-world data (RWD) to drive long-term evidence strategies and fulfill regulatory post-market obligations. The internship role involves designing studies using real-world data sources, building study cohorts through data mapping, and collaborating cross-functionally to ensure research scope alignment and successful study execution.

Your responsibilities may include:

• Supporting the strategic growth of the Urology team’s Real-World Evidence (RWE) capabilities
• Contributing to study designs using administrative claims, Electronic Health Records (EHR), and other RWE sources by applying clinical research methodologies (e.g., research question development, inclusion/exclusion criteria, bias reduction)
• Developing medical code sets using reimbursement codes (ICD-10-CM, ICD-10-PCS, CPT) and medical terminologies (SNOMED, LOINC, RxNorm) to define patient populations, outcomes, and covariates
• Support the development and use of NLP, LLMs, and machine learning to transform unstructured clinical notes from aggregated Electronic Health Record data into accurate, standardized, structured data and the validation of its use as variables in RWE studies
• Supporting RWE study feasibility and execution through programming, statistical analysis, data visualization, and interpretation
• Supporting post-market documentation, publications, and related deliverables
• Collaborating with Clinical Strategy, Scientific Communications, Biostatistics, Medical Safety, Legal, Compliance, and external stakeholders (e.g., KOLs, HCPs)

Required qualifications:

• Bachelor's degree in a related field and current enrollment in a master's or doctoral program in Clinical Informatics, Epidemiology, Data science, or Biostatistics.
• Graduation date must be between Fall 2027 and Spring 2030.
• Ability to reliably commute to the Weaver-Lake, Maple Grove Boston Scientific office in accordance with the hybrid work schedule.
• Eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization.
• Up to 1 year of experience or relevant academic coursework in retrospective clinical research design using real-world data, including administrative claims, charge master data or electronic health records.
• Up to 1 year of experience, relevant academic coursework or demonstrated familiarity with medical coding systems and clinical terminologies, including ICD-9, ICD-10 and CPT.
• Proficiency in R, Python or comparable programming tools for large-scale data analysis.
• Proficiency in relational data modeling and SQL querying.

Preferred qualifications:

• Experience with NLP, LLMs, and machine learning for accurate data extraction
• Scientific writing experience
• Proven ability to work effectively in a collaborative team environment
• Strong written and verbal communication skills