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Real World Evidence Rwe Jobs in Massachusetts (NOW HIRING)

This role will work directly within the Medical & Evidence Generation space, partnering closely with stakeholders across Drug Development, Clinical Operations, Real-World Evidence (RWE), Medical ...

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

AspectReal World Evidence RweClinical Data Analyst
Required credentialsTypically requires a background in healthcare, epidemiology, or biostatistics, often with a master's or PhDUsually requires a degree in health informatics, biostatistics, or related fields, with similar certifications
Work environmentPrimarily in healthcare, pharmaceutical, or research organizations analyzing real-world dataIn clinical research settings, hospitals, or pharmaceutical companies analyzing clinical trial data
Employer and industry usageUsed by pharma companies, healthcare providers, and research institutions to generate real-world insightsUsed by research organizations, hospitals, and pharma for clinical trial data management and analysis

Real World Evidence Rwe professionals focus on analyzing data from real-world settings like electronic health records and insurance claims, while Clinical Data Analysts primarily work with clinical trial data. Both roles require strong analytical skills and related credentials, but Rwe specialists emphasize real-world data sources to inform healthcare decisions.

What is the difference between RWE and real-world data?

In the context of a Real World Evidence (RWE) role, real-world data (RWD) refers to the raw data collected from sources like electronic health records, claims databases, and patient registries. RWE is the clinical evidence generated by analyzing and interpreting RWD to inform healthcare decisions, regulatory approvals, and policy making. RWD is the data input, while RWE is the meaningful insights derived from that data through analysis and research methods.

How do you get into RWE?

To enter a role in Real World Evidence (RWE), candidates typically need a background in healthcare, epidemiology, or data science, along with skills in biostatistics and familiarity with electronic health records and real-world data sources. Gaining experience through relevant internships, certifications, or advanced degrees can improve prospects. Proficiency in statistical software and understanding of regulatory requirements are also valuable.

What is Real World Evidence (RWE) in the healthcare industry?

Real World Evidence (RWE) refers to clinical evidence regarding the usage and potential benefits or risks of a medical product, derived from analysis of real-world data (RWD). This data is collected from sources outside of traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. RWE plays a crucial role in understanding how treatments work in routine clinical practice, informing regulatory decisions, and supporting drug development and market access. Organizations use RWE to complement clinical trial data, improving healthcare outcomes and patient care.

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

To thrive as a Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as SAS, R, or Python), real-world data sources (like EHRs and claims databases), and regulatory guidelines (FDA/EMA) is essential. Strong communication, problem-solving, and cross-functional collaboration skills help convey complex findings to stakeholders and integrate RWE into decision-making. These competencies are crucial for generating credible insights that inform clinical, regulatory, and commercial strategies in the healthcare industry.

How does a Real World Evidence (RWE) professional typically collaborate with cross-functional teams in the pharmaceutical industry?

RWE professionals often work closely with colleagues from epidemiology, health economics, medical affairs, and regulatory affairs to design and execute studies using real-world data. Collaboration is essential, as RWE findings support evidence generation for regulatory submissions, market access, and post-marketing surveillance. Regular meetings, data-sharing sessions, and joint project planning are common, ensuring all stakeholders are aligned on study objectives, methodologies, and data interpretation. This collaborative environment helps translate complex data into actionable insights that support decision-making across the organization.

What are examples of real world evidence?

Real World Evidence (RWE) in the context of a role like a Real World Evidence professional involves data collected from sources outside traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. These data sources are analyzed to assess treatment effectiveness, safety, and healthcare outcomes in real-world settings, often using statistical and data management tools. RWE helps inform healthcare decisions and regulatory approvals by providing insights from diverse patient populations outside controlled environments.

What is RWE real world evidence?

Real World Evidence (RWE) is data collected from real-world settings such as electronic health records, claims data, and patient registries. In the context of a role like a Real World Evidence (RWE) professional, it involves analyzing this data to support healthcare decision-making, regulatory submissions, and clinical research using statistical tools and data management skills.
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Principal Data Strategist, Real World Evidence (RWE)

Principal Data Strategist, Real World Evidence (RWE)

Boston Scientific

Marlborough, MA • Hybrid

Other

Posted 8 days ago


Boston Scientific rating

8.5

Company rating: 8.5 out of 10

Based on 119 frontline employees who took The Breakroom Quiz

33rd 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 atwww.bostonscientific.comand follow us onLinkedIn.

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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