Graduate Clinical Insights Research Intern

Boston Scientific • Maple Grove, MN

2d • Hybrid

About The Position

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 advance long-term evidence strategies and meet regulatory post-market obligations. The role includes designing studies with real-world data sources, building study cohorts through data mapping, and collaborating across functions to align research scope and execute studies successfully. You will support the strategic growth of the Urology team’s Real-World Evidence (RWE) capabilities and contribute to related post-market documentation, publications, and deliverables.

The position follows a hybrid work model, requiring attendance at the local Boston Scientific office at least three or four days per week. The office specified for this role is in Weaver-Lake, Maple Grove. Relocation and housing assistance may be available to eligible candidates. Boston Scientific will not provide or assume sponsorship for an employment visa for this position.

Requirements

• 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.
• Expected graduation date between Fall 2027 and Spring 2030.
• Ability to reliably commute to the Boston Scientific office in Weaver-Lake, Maple Grove, according to the hybrid schedule.
• Eligibility to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization.
• Up to one 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 one 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.

Nice To Haves

• 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.

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, applying clinical research methods such as research question development, inclusion and exclusion criteria, and 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 validate their 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 such as KOLs and HCPs.

Benefits

• Relocation and housing assistance may be available to candidates who meet eligibility criteria.
• Core and optional employee benefits are offered; details are provided at www.bscbenefitsconnect.com.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern