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Real World Evidence Statistician Jobs in Raleigh, NC

IQVIA is hiring to expand our dedicated Real-World Evidence (RWE) FSP team, working fully within ... Conduct and QC analyses, identification of diagnosis and treatment codes and applying statistical ...

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 ...

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 ...

Job Overview IQVIA is hiring a clinical project manager to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent pharma company. In this role ...

Our experienced statisticians and programmers develop intellectual property and assets to support the design and analysis of clinical trials, precision medicine and real-world data analytics. We ...

Job Overview IQVIA is hiring a clinical project manager to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent pharma company. In this role ...

Job Overview IQVIA is hiring a clinical project manager to expand our dedicated Real World Evidence (RWE) FSP team, working fully within the environment of a prominent pharma company. In this role ...

Showing results 21-40

Real World Evidence Statistician information

See Raleigh, NC salary details

$49.1K

$84.5K

$113.2K

How much do real world evidence statistician jobs pay per year?

As of Sep 8, 2026, the average yearly pay for real world evidence statistician in Raleigh, NC is $84,494.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $95,800.00 per year, depending on experience, location, and employer.

What is a real world evidence statistician?

A Real World Evidence (RWE) Statistician is a professional who designs, analyzes, and interprets data from real-world sources, such as electronic health records, insurance claims, and patient registries, to inform healthcare decisions. They use advanced statistical methods to generate evidence about the effectiveness, safety, and value of medical treatments outside of controlled clinical trials. Their work helps pharmaceutical companies, healthcare providers, and regulatory agencies make data-driven decisions to improve patient outcomes.

How does a real world evidence statistician collaborate with cross-functional teams in healthcare research projects?

A Real World Evidence Statistician frequently works alongside epidemiologists, data scientists, clinicians, and regulatory professionals to design studies, analyze real-world data, and interpret findings. Collaboration typically involves participating in study planning meetings, discussing statistical methodologies, reviewing data quality, and ensuring that analyses meet regulatory and scientific standards. This teamwork is crucial for translating complex data into actionable insights for healthcare decision-making and regulatory submissions. Strong communication skills and adaptability are essential, as projects often require aligning diverse perspectives and expertise.

What are the key skills and qualifications needed to thrive as a real world evidence statistician, and why are they important?

To thrive as a Real World Evidence Statistician, you need a strong background in statistics, epidemiology, and data analysis, usually supported by an advanced degree in statistics, biostatistics, or a related field. Proficiency with statistical software such as SAS, R, or Python, as well as experience working with large healthcare datasets and understanding of regulatory guidelines, is crucial. Strong problem-solving, communication, and collaboration skills help translate complex analyses into actionable insights for multidisciplinary teams. These skills ensure the generation of robust, real-world data insights that inform healthcare decisions and support regulatory and clinical objectives.

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

AspectReal World Evidence StatisticianClinical Data Analyst
Required CredentialsMaster's in Biostatistics, Epidemiology, or related field; statistical certificationsBachelor's or Master's in Data Science, Biostatistics, or related field; some certifications
Work EnvironmentPharmaceutical companies, healthcare organizations, research institutionsHospitals, clinical research organizations, healthcare providers
Industry UsageAnalyzing real-world data for drug safety, effectiveness, and health outcomesManaging clinical trial data, generating reports, supporting research studies

The Real World Evidence Statistician specializes in analyzing real-world healthcare data to inform medical decisions and policy, while the Clinical Data Analyst focuses on managing and interpreting clinical trial data. Both roles require strong statistical skills and relevant credentials, but they serve different aspects of healthcare research and data analysis.

What are popular job titles related to Real World Evidence Statistician jobs in Raleigh, NC?

For Real World Evidence Statistician jobs in Raleigh, NC, the most frequently searched job titles are:

What job categories do people searching Real World Evidence Statistician jobs in Raleigh, NC look for?

The top searched job categories for Real World Evidence Statistician jobs in Raleigh, NC are:

What cities near Raleigh, NC are hiring for Real World Evidence Statistician jobs?

Cities near Raleigh, NC with the most Real World Evidence Statistician job openings:

Infographic showing various Real World Evidence Statistician job openings in Raleigh, NC as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $84,494 per year, or $40.6 per hour.

Summer 2027 Internship - RWE Data Scientist - Virtual

Stryker

Durham, NC • On-site, Remote

$35/hr

Temporary, Internship

Posted 6 days ago


Stryker rating

8.2

Company rating: 8.2 out of 10

Based on 112 frontline employees who took The Breakroom Quiz

136th 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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