Graduate Clinical Insights Research Intern

About The Role

As a Graduate Clinical Insights Research Intern, you 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. This internship role involves designing studies using RWD sources, building study cohorts through data mapping, and collaborating cross-functionally to ensure research scope alignment and successful study execution.

Key Responsibilities

• Support the strategic growth of the Urology team’s Real-World Evidence (RWE) capabilities.
• Contribute 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).
• Develop 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 EHR data into accurate, standardized, structured data and the validation of its use as variables in RWE studies.
• Support RWE study feasibility and execution through programming, statistical analysis, data visualization, and interpretation.
• Support post-market documentation, publications, and related deliverables.
• Collaborate with Clinical Strategy, Scientific Communications, Biostatistics, Medical Safety, Legal, Compliance, and external stakeholders (e.g., KOLs, HCPs).

Requirements & Tech Stack

• Proficiency in R, Python, or comparable programming tools for large-scale data analysis.
• Proficiency in relational data modeling and SQL querying.
• 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.

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.
• 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.

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.