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Real World Evidence Rwe Jobs in Raleigh, NC (NOW HIRING)

Datavant

Client Partner, Ecosystem

Raleigh, NC · On-site

... Real-World Evidence (RWE) solutions - to existing and new Ecosystem clients. This role requires a deep understanding of your assigned customers' business goals, organizational structure, and ...

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Real World Evidence Rwe information

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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Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Raleigh, NC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
Senior Epidemiologist, HIV Treatment, Retrospective Claims Study Expertise (FSP Sponsor Dedicated)

Senior Epidemiologist, HIV Treatment, Retrospective Claims Study Expertise (FSP Sponsor Dedicated)

IQVIA, Inc.

Durham, NC • On-site

Full-time

Posted 24 days ago

IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

46th of 206 rated it services

Job description

Location: Remote, candidates must be US-based
Join IQVIA's Sponsor-Dedicated FSP team and help advance healthcare through real-world evidence. We bring together scientific expertise and real-world data to help sponsors make decisions and accelerate evidence generation to improve patient outcomes. In this role, you'll work closely with one sponsor, gaining deep knowledge of their therapies while leveraging IQVIA's global expertise.
Core Function Description:
Design and conduct epidemiological studies to generate real-world evidence within time, budget, and quality standards, including but not limited to natural history of disease, population characterization, assessment of treatment patterns and unmet need, development of external comparators, benchmarking of clinical outcomes, comparative safety and effectiveness research, and post-authorization studies. Skill sets of the Epidemiologist role are similarly required, with the expectation of more experience, able to operate strategically under limited supervision, well versed in current Epidemiology research methods, deep understanding of how RWE fits within drug development, regulatory, medical, safety and other functions.
Required Experience
  • Lead development of study protocols, analysis plans, and study reports to answer research questions of priority to RWE.
  • Lead, design, and manage epidemiological, biomarker and/or data science projects.
  • Lead, plan, design, and conduct analyses for internal and external decision making (e.g., responses to regulatory authorities, rapid analyses of safety queries).
  • Lead the identification of fit-for-purpose data for the timely execution of the RWE strategy.
  • Constructed cohorts using RWD sources (e.g., claims, EHR) and evaluate key variables, including diagnosis and procedures codes, and plan validation studies as needed.
  • Contribute to the communication of observational research results and methods, including development of pertinent sections of regulatory documents, reports, publications, white papers.
  • Support the effective communication of study/analysis results to support internal and external decisions.
  • Coauthor abstracts and manuscripts for external dissemination of methodologic study results.
  • Contribute to the development of processes and training aimed at increasing the efficiency, quality, and impact of functional activities.

Technical Expertise:
  • Observational research methods (both Primary and Secondary), deep knowledge of biostatistics and analysis methods, understanding of regulatory processes.
  • Ability to design studies independently, (i.e., ability to translate research questions to create study design).

Subject Matter Expertise:
  • Provide subject matter expertise and conduct analyses for descriptive and comparative research using RWD (examples include claims, EHR, PRO/COA, registry data) for methodologic research questions.
  • Deep, hands-on familiarity with EHR data curation behind health system firewalls, including practical knowledge of where key clinical outcomes are captured across data tables.
  • Expert knowledge and extensive experience with pharmacoepi methods (i.e., signal detection and validation methods).
  • Leverage RWE expertise to identify evidence gaps and develop options to address the evidence gaps in support of Clinical Development Programs.

Minimum Qualifications
  • PhD in Epidemiology with a minimum of 4 years of relevant post-doctoral experience, preferably within a pharmaceutical company or pharma consulting environment. Master's degree in epidemiology plus 7-9 years of experience in lieu of PhD may be acceptable.
  • Extensive experience in retrospective claims data studies required. Focused data sources are mainly US (some ex-US) claims data and lab data.
  • Experience in HIV treatment, defining complex treatment patterns required.
  • Deep understanding of observational research methods and experience to support the design and conduct of observational research, including protocol, statistical analysis plan, and study report development.
  • A record of scientific publications demonstrating expertise in observational study design, analysis, and interpretation is preferred.
  • Demonstrated ability to function with an increasing level of autonomy and to develop productive cross- functional collaborations in a matrix environment.
  • Ability to manage priorities and performance targets.

What's in it for you?
  • Be part of a forward-thinking team that helps shape the next generation of evidence-based healthcare.
  • Work hand-in-hand with one leading sponsor, gaining deep expertise in their therapies.
  • Access IQVIA's global network who supports your growth.

This is your chance to make an impact, while building a career that matters.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com
IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe
IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.
The potential base pay range for this role, when annualized, is $109,200.00 - $273,000.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US

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