Graduate Clinical Insights Research Intern
About The Position
The Graduate Clinical Insights Research Intern supports Boston Scientific’s commercialized products by developing and executing clinical research activities using real-world data (RWD). The work helps advance long-term evidence strategies and fulfill regulatory post-market obligations. The intern may design studies using real-world data sources, build study cohorts through data mapping, and collaborate across functions to align research scope and support successful execution. The role supports the Urology team’s Real-World Evidence capabilities and may involve administrative claims, Electronic Health Records (EHR), clinical coding and terminology systems, and programming, statistical analysis, data visualization, and interpretation. It also supports the use and validation of NLP, LLMs, and machine learning to structure information from clinical notes. Additional work includes post-market documentation and publications, in collaboration with internal teams and external stakeholders. This role follows a hybrid work model, with employees required to work in the local office at least three or four days per week. The posting identifies the Boston Scientific office in Weaver-Lake, Maple Grove. Relocation and housing assistance may be available to eligible applicants. Visa sponsorship is not offered 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.
- Graduation date 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.
- Eligibility 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.
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 capabilities.
- Contribute to study designs using administrative claims, Electronic Health Records, and other real-world evidence sources, applying clinical research methods such as research question development, inclusion and exclusion criteria, and bias reduction.
- Develop medical code sets using reimbursement codes, including ICD-10-CM, ICD-10-PCS, and CPT, and medical terminologies, including SNOMED, LOINC, and RxNorm, to define patient populations, outcomes, and covariates.
- Support 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 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 such as KOLs and HCPs.
Benefits
- Relocation and housing assistance may be available to eligible applicants.
- Core and optional employee benefits are offered; details are available at www.bscbenefitsconnect.com.
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What This Job Offers
Job Type
Full-time
Career Level
Intern
