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Internship Real World Evidence Rwe Jobs in Minnesota

Medical Affairs (including Medical Directors), Real-World Evidence (RWE), Clinical Development/Operations, Medical Information, Compliance/Legal, and cross-functional commercial colleagues (e.g ...

... and real-world evidence to external stakeholders including integrated delivery networks (IDNs ... Lead execution of the Epilepsy & Rare Syndromes outcomes and RWE engagement strategy across key ...

Internship

Alexandria, MN · On-site

$14.50 - $19.25/hr

This internship will expose you to the diverse aspects of behavioral health, allowing you to ... Exposure to real-world projects and tasks. * Mentorship and guidance from industry professionals.

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Internship Real World Evidence Rwe information

What are the key skills and qualifications needed to thrive as an Internship Real World Evidence (RWE) professional, and why are they important?

To thrive as an Internship Real World Evidence (RWE) professional, you need a solid background in life sciences, epidemiology, or statistics, often supported by progress toward a relevant degree. Familiarity with data analysis tools like SAS, R, or Python, and experience with healthcare databases or real-world data systems, are typically required. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in cross-functional teams and data-driven projects. These competencies are crucial for generating robust, actionable insights from real-world data to inform healthcare decisions and policy.

What is an Internship in Real World Evidence (RWE)?

An Internship in Real World Evidence (RWE) offers students or recent graduates hands-on experience in collecting and analyzing data from real-world sources, such as electronic health records, insurance claims, and patient registries. RWE is used in the pharmaceutical and healthcare industries to evaluate the effectiveness, safety, and value of medical treatments outside controlled clinical trials. Interns may support research studies, help interpret data, and contribute to reports that inform decision-making for healthcare providers and regulators. This type of internship is ideal for those interested in data analysis, public health, and evidence-based medicine.

What types of projects do interns typically work on in a Real World Evidence (RWE) internship?

As an RWE intern, you can expect to contribute to projects involving the collection, analysis, and interpretation of real-world healthcare data, such as electronic health records, claims data, or patient registries. Common responsibilities include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing reports or presentations for internal teams. You will often collaborate with cross-functional teams including epidemiologists, data scientists, and medical affairs professionals, which provides excellent exposure to various aspects of the pharmaceutical or healthcare industry.

What is the difference between Internship Real World Evidence Rwe vs Data Analyst?

AspectInternship Real World Evidence RweData Analyst
Required CredentialsTypically pursuing or recent graduate in healthcare, life sciences, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields
Work EnvironmentHealthcare or pharmaceutical companies, research organizations, or academic institutionsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed in pharmaceutical, biotech, and healthcare sectors for evidence generationWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, an Internship Real World Evidence Rwe focuses on analyzing real-world healthcare data to generate evidence for medical decisions, often within healthcare or pharma settings. A Data Analyst has a broader scope, working with various data types across industries to interpret and visualize data for business insights.

What are the most commonly searched types of Real World Evidence Rwe jobs in Minnesota? The most popular types of Real World Evidence Rwe jobs in Minnesota are:
What cities in Minnesota are hiring for Internship Real World Evidence Rwe jobs? Cities in Minnesota with the most Internship Real World Evidence Rwe job openings:
Principal Data Strategist, Real World Evidence (RWE)

Principal Data Strategist, Real World Evidence (RWE)

Boston Scientific

Arden Hills, MN • On-site

Full-time

Posted 15 days ago


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

32nd of 518 rated manufacturers


Job description

Additional Location(s): US-MA-Marlborough; US-MN-Arden Hills
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.
About the role:
The Principal Data Strategist, Real World Evidence (RWE) will lead enterprise real-world data (RWD) strategy and advanced analytics initiatives that support scalable, regulatory-aligned evidence generation across Boston Scientific. This role combines strategic leadership in data sourcing, vendor assessment, governance, and long-term data planning with deep expertise in real-world evidence, epidemiology, and data science.
This incumbent will be operating with a high degree of autonomy, this individual will shape fit-for-purpose RWD strategies, evaluate and operationalize external data assets, and lead advanced analytics initiatives using EHRs, claims, registries, and linked healthcare data. The role partners closely with Clinical, Medical Affairs, Regulatory, HEMA, IT, Biostatistics, Quality, and R&D stakeholders to advance both immediate evidence generation priorities and long-term data capabilities.
Work model, sponsorship, relocation:
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 days per week at our Marlborough, MA or Arden Hills, MN office. Boston Scientific will not offer sponsorship or take over sponsorship of an employment visa for this position at this time. Relocation assistance is not available for this position at this time.
Your responsibilities will include:
Data Strategy & Vendor Management
  • Support enterprise RWD strategy development and long-term data planning aligned with evidence generation priorities.
  • Evaluate and operationalize external data assets including EHR, claims, registry, and emerging healthcare data sources.
  • Lead vendor assessments and data source evaluations including quality, linkage feasibility, scalability, governance, and regulatory suitability.
  • Partner cross-functionally to support data acquisition, governance, integration, and scalable analytics infrastructure.
  • Provide strategic guidance on fit-for-purpose data selection, feasibility assessments, and analytic approaches.

Study Design & Execution
  • Lead the design, development, and evaluation of RWE study protocols, including cohort definitions, endpoints, and analytic plans.
  • Collaborate with KOLs and stakeholders to ensure robust analytical approaches and clinically meaningful outputs.
  • Validate methodologies and results, ensuring transparency, reproducibility, and audit-readiness.
  • Apply rigorous epidemiologic and statistical methods to address bias, confounding, and data limitations.
  • Translate study findings into impactful reports and actionable insights to support evidence generation, value messaging, publications, regulatory submissions, and strategic decision-making.
  • Ensure alignment of study design and execution with regulatory and methodological guidance.
  • Oversee feasibility assessments, including data availability, fit-for-purpose evaluations, and study design optimization.
  • Execute end-to-end RWE studies, from protocol development through analysis, interpretation, and dissemination of results.

Advanced Analytics, Communication & Leadership
  • Develop advanced analytics solutions including predictive modeling, AI/ML methodologies, phenotyping, and NLP applications.
  • Design dashboards and visualizations to communicate insights and support decision-making.
  • Establish and promote best practices for data science, reproducible research, validation, and governance.
  • Support publications, presentations, and regulatory-aligned scientific communications.
  • Partner cross-functionally and mentor team members to advance organizational analytics and RWE capabilities.

Required qualifications:
  • Minimum Bachelor's degree or advanced degree in data science, biostatistics, epidemiology, computer science, health informatics, or a related field, or equivalent experience.
  • Minimum of 10 years of experience with a Bachelor's degree or 8 years with a Master's degree in real-world evidence, healthcare analytics, data science, epidemiology, or related disciplines.
  • Proven experience working with real-world healthcare data including electronic health records, claims, registries, and linked datasets.
  • Demonstrated expertise in observational research methods, epidemiology, causal inference, and advanced statistical or machine learning methodologies.
  • Proven proficiency in Python, R, SQL, and modern analytics environments.
  • Experience evaluating external healthcare data assets and working with data vendors or strategic data partnerships.
  • Strong communication and stakeholder management skills across technical and business audiences.

Preferred qualifications:
  • Experience supporting regulatory-aligned evidence generation and health authority interactions.
  • Experience leading enterprise or cross-functional data strategy initiatives.
  • Experience with healthcare data linkage methodologies, tokenization, or distributed data environments.
  • Experience applying AI/ML or NLP methodologies within healthcare or RWE settings.
  • Experience working within a global or matrixed organization.

Requisition ID: 629425
Minimum Salary: $106800
Maximum Salary: $202900
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 urological diseases and conditions. Learn more at www.bostonscientific.com and follow us on LinkedIn.
Boston Scientific Corporation has been and will continue to be an equal opportunity employer. To ensure full implementation of its equal employment policy, the Company will continue to take steps to assure that recruitment, hiring, assignment, promotion, compensation, and all other personnel decisions are made and administered without regard to race, religion, color, national origin, citizenship, sex, sexual orientation, gender identity, gender expression, veteran status, age, mental or physical disability, genetic information or any other protected class.
Please be advised that certain US based positions, including without limitation field sales and service positions that call on hospitals and/or health care centers, require acceptable proof of COVID-19 vaccination status. Candidates will be notified during the interview and selection process if the role(s) for which they have applied require proof of vaccination as a condition of employment. Boston Scientific continues to evaluate its policies and protocols regarding the COVID-19 vaccine and will comply with all applicable state and federal law and healthcare credentialing requirements. As employees of the Company, you will be expected to meet the ongoing requirements for your roles, including any new requirements, should the Company's policies or protocols change with regard to COVID-19 vaccination.

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