Boston Scientific develops medical technologies to improve patient health. The Graduate Clinical Insights Research Intern supports clinical research and real-world evidence strategies for commercialized products, including study design, data analysis, and post-market documentation.
Responsibilities
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)
Qualification
Required
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
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
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
Benefits
Hybrid work model, requiring employees to be in the local office at least three/four days per week.
Relocation and housing assistance may be available to those who meet the eligibility criteria.
Access to the latest tools, information and training to help advance skills and career.
For non-exempt (hourly), non-sales roles, variable compensation from time to time (e.g., overtime and shift differential) and annual bonus target, subject to plan eligibility and other requirements.
Boston Scientific is a medical technology company that designs and develops medical devices to diagnose and treat a wide range of condition.
