Graduate Clinical Insights Research Intern
At a glance
- Location
- Maple Grove, MN
- Work type
- Hybrid
- Visa sponsorship
- Not offered
- Category
- Healthcare
Graduate Clinical Insights Research Intern at Boston Scientific in Maple Grove, MN. Hybrid work model supporting real-world evidence studies using RWD data sources, NLP/ML, and data analysis to drive evidence strategies and post-market obligations.
What they are looking for
Location: Maple Grove, MN, US
Graduate Clinical Insights Research Intern
Work mode
Hybrid
Onsite Location(s)
Maple Grove, MN, US, 55311
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Additional Location(s): N/A
Diversity - Innovation - Caring - Global Collaboration - Winning Spirit - High Performance
At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.
At Boston Scientific, we value collaboration and synergy.
This role follows a hybrid work model, requiring employees to be in our local office at least three/four days per week.
Relocation and housing assistance may be available to those who meet the eligibility criteria.
Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time.
We will consider qualified applicants of all ages who are starting (or restarting) their careers.
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
Requisition ID: 635655
Minimum Salary: $ 43368
Maximum Salary: $ 73736
The anticipated compensation listed above and the value of core and optional employee benefits offered by Boston Scientific (BSC) – see www.bscbenefitsconnect.com—will vary based on actual location of the position and other pertinent factors considered in determining actual compensation for the role. Compensation will be commensurate with demonstrable level of experience and training, pertinent education including licensure and certifications, among other relevant business or organizational needs. At BSC, it is not typical for an individual to be hired near the bottom or top of the anticipated salary range listed above.
Compensation for non-exempt (hourly), non-sales roles may also include variable compensation from time to time (e.g., any overtime and shift differential) and annual bonus target (subject to plan eligibility and other requirements).
Compensation for exempt, non-sales roles may also include variable compensation, i.e., annual bonus target and long-term incentives (subject to plan eligibility and other requirements).
For MA positions: It is unlawful to require or administer a lie detector test for employment. Violators are subject to criminal penalties and civil liability.
Boston Scientific transforms lives through innovative medical technologies that improve the health of patients around the world. As a global medical technology leader for more than 45 years, we advance science for life by providing a broad range of high-performance solutions that address unmet patient needs and reduce the cost of healthcare. Our portfolio of devices and therapies helps physicians diagnose and treat complex cardiovascular, respiratory, digestive, oncological, neurological and urologi