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Real World Evidence Rwe Jobs in North Carolina (NOW HIRING)

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

The HEOR Science Liaison delivers credible, non-promotional scientific exchange across clinical evidence, real-world evidence (RWE), pharmacoeconomics, and health outcomes to support informed ...

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

$35/hr

Opportunities Available As a Real-World Evidence Data Science intern at Stryker, you will: * Work ... Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement ...

New

Bachelor's degree * 5 or more years of experience selling Real World Data (RWD), Real World Evidence (RWE), RWD services, healthcare data solutions, or related offerings directly to pharmaceutical or ...

Clinical Value Liaison

Raleigh, NC · On-site

$235 - $246.25/hr

... real-world evidence (RWE), health economics and outcomes research (HEOR), and value-based care. The role generates actionable insights that inform Medical Affairs strategy while helping address ...

Showing results 41-60

Real World Evidence Rwe information

What is real world evidence (RWE)?

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.

How does a real world evidence (RWE) professional collaborate with cross-functional teams?

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 the key skills and qualifications needed to thrive as a real world evidence (RWE) professional?

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.

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 are the most commonly searched types of Real World Evidence Rwe jobs in North Carolina?

The most popular types of Real World Evidence Rwe jobs in North Carolina are:

What are popular job titles related to Real World Evidence Rwe jobs in North Carolina?

For Real World Evidence Rwe jobs in North Carolina, the most frequently searched job titles are:

What job categories do people searching Real World Evidence Rwe jobs in North Carolina look for?

The top searched job categories for Real World Evidence Rwe jobs in North Carolina are:

What cities in North Carolina are hiring for Real World Evidence Rwe jobs?

Cities in North Carolina with the most Real World Evidence Rwe job openings:

Infographic showing various Real World Evidence Rwe job openings in North Carolina as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 76% In-person, 4% Hybrid, and 20% Remote job distribution.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Wilmington, NC • On-site, Remote

$35/hr

Temporary, Internship

Posted 4 days ago


Key responsibilities

  • Support the design and execution of observational studies using claims and other real-world data sources.

  • Assist in data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques.

  • Build and refine statistical models such as propensity matching and survival analysis under mentorship.


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

134th of 499 rated machine equipment manufacturers


Job description

What You Get Out of the Internship

At Stryker, we believe that developing the next generation of talent is just as important as developing life-changing medical technologies. As an intern, you won’t just observe — you’ll contribute to meaningful projects, gain exposure to leaders who will mentor you, and experience a culture of innovation and teamwork that is shaping the future of healthcare. As an intern, you will:

  • Apply classroom knowledge and gain experience in a fast-paced and growing industry setting
  • Implement new ideas, be constantly challenged, and develop your skills
  • Network with key/high-level stakeholders and leaders of the business
  • Be a part of an innovative team and culture
  • Experience documenting complex processes and presenting them in a clear format

Who We Want

Challengers. People who seek out the hard projects and work to find just the right solutions.

Teammates. Partners who listen to ideas, share thoughts and work together to move the business forward.

Charismatic networkers. Relationship-savvy people who intentionally make connections with both internal partners and external contacts.

Strategic thinkers. Interns who propose innovative ideas and consistently exceed their performance objectives.

Customer-oriented achievers. Individuals with an unparalleled work ethic and customer-focused attitude who bring value to their partnerships.

Game changers. Persistent interns who will stop at nothing to live out Stryker’s mission to make healthcare better.

Opportunities Available

As a Real-World Evidence Data Science intern at Stryker, you will:

  • Work cross functionally with different departments including Clinical Affairs, Health Economics & Outcomes Research (HEOR), Regulatory Affairs, and Marketing to support real-world evidence generation programs
  • Assist in the design and execution of observational studies using claims (e.g., Premier PINC AI, NIS) and other real-world data sources
  • Support data extraction, cleaning, and analysis of structured and unstructured healthcare data, including applying NLP techniques to unstructured billing/clinical data
  • Prepare literature review summaries and evidence syntheses to support publication and regulatory submission efforts
  • Build and refine statistical models (e.g., propensity matching, survival analysis) under the mentorship of the RWE Research team
  • Shadow cross-functional team meetings to gain exposure to how RWE informs regulatory, reimbursement, and commercial strategy

What You Need

Required:

  • Currently pursuing a Master’s degree in Biostatistics, Epidemiology, Health Services Research, Health Economics and Outcomes Research (HEOR), Health/Biomedical Informatics, Data Science, or a related quantitative field; must remain enrolled in a degree-seeking program after the internship
  • Cumulative 3.0 GPA or above (verified at time of hire)
  • Must be legally authorized to work in the U.S. and not require employment-based sponsorship now or in the future
  • Proficiency in SQL and at least one statistical/analytical programming language (Python or R)
  • Coursework or applied project experience with observational/real-world data (claims, EHR, or registry data)
  • Strong written and verbal communication skills, with proven ability to collaborate and build relationships
  • Demonstrated leadership, problem-solving, and organizational skills with the ability to manage multiple priorities
  • Proficiency in Microsoft Office (Excel, Word, PowerPoint) and eagerness to learn in a dynamic environment

Preferred:

  • Prior exposure to claims databases (Medicare, MarketScan, Premier PINC AI, Optum) or EHR data structures
  • Familiarity with causal inference methods (propensity score matching, instrumental variables) and/or survival analysis
  • Experience with NLP applied to unstructured healthcare text
  • Prior coursework, thesis, or practicum work in a medtech, pharma, or payer setting

$20 min hourly wage – $35 max hourly wage, sign-on bonus, 11 paid holidays annually, and either paid corporate housing or a living stipend, dependent upon hiring location

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.


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