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

RTI International

Senior Research Statistician

Durham, NC

$84K - $103K/yr

Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...

RTI International

Senior Research Statistician

Durham, NC · On-site

$84K - $103K/yr

Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...

RTI International

Senior Research Statistician

Raleigh, NC · On-site

$84K - $104K/yr

Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...

RTI International

Senior Research Statistician

Raleigh, NC · On-site

$84K - $104K/yr

Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...

RTI International

Senior Research Statistician

Raleigh, NC · On-site +1

$84K - $104K/yr

Real-world evidence (RWE) analyses for use in health economic and early disease modeling * Bayesian and other advanced statistical methodologies * Develop, validate, document, and maintain ...

IQVIA

Information Advisor, Large Pharma

Durham, NC

$111K - $349K/yr

Influence client decisions on investments in AI/ML, real-world evidence (RWE), and advanced analytics capabilities. Collaboration with Delivery Teams * Partner with delivery leaders to ensure ...

IQVIA

Information Advisor, Large Pharma

Durham, NC

$111K - $349K/yr

Influence client decisions on investments in AI/ML, real-world evidence (RWE), and advanced analytics capabilities. Collaboration with Delivery Teams * Partner with delivery leaders to ensure ...

Tempus

Molecular Technologist I-III

Durham, NC · On-site

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for ...

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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 Durham, NC?

The most popular types of Real World Evidence Rwe jobs in Durham, NC are:

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

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Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Durham, NC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Senior Research Statistician

RTI International

Durham, NC

$84K - $103K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 22 days ago

RTI International rating

7.0

Company rating: 7.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

63rd of 74 rated research

Job description


About the Hiring Group

RTI Health Solutions (RTI-HS), a wholly owned subsidiary of RTI International, is an independent and internationally recognized research organization. We provide healthcare consulting and research expertise to optimize decision-making for pharmaceutical, biotechnology, and medical device products across the development and marketing life cycle. Clients rely on our expertise, quality standards, and integrity to guide their product development and regulatory and market access strategies. Our service groupings include Value, Access, and HEOR; Patient-Centered and Outcomes Research; Epidemiology and Biostatistics; Medical Communications; Global Business Operations; and Strategic Consulting and Growth. RTI-HS has office locations in the US, UK, Spain, France, and Sweden.

RTI Health Solutions partners with pharmaceutical, biotechnology, and other healthcare industry clients to generate evidence that informs healthcare decision-making around the world. As a Senior Research Statistician, you will work in a collaborative, multidisciplinary environment alongside health economists, statisticians, epidemiologists, and systematic literature review specialists to conduct innovative analyses that evaluate the clinical, humanistic, and economic value of healthcare interventions.

What You'll Do
We are currently seeking a talented Senior Research Statistician to join our growing Evidence Synthesis and Statistics team. Key responsibilities include:
 

Scientific Research and Statistical Analysis

  • Independently develop statistical analysis plans, create analysis datasets, perform complex statistical analyses, interpret findings, and prepare technical reports across a broad range of health economics and outcomes research (HEOR) projects.
  • Lead and conduct statistical analyses for the purposes of health technology assessment, including, but not limited to:
    • Indirect treatment comparisons including network meta-analyses (NMA), matching-adjusted indirect comparisons (MAICs), simulated treatment comparisons (STCs), etc.
    • Survival analyses
    • Utility analyses
    • Real-world evidence (RWE) analyses for use in health economic and early disease modeling
    • Bayesian and other advanced statistical methodologies
  • Develop, validate, document, and maintain statistical programming code and analytical tools using R, STATA, and/or other statistical packages.
  • Provide statistical expertise and methodological guidance to multidisciplinary project teams, recommending appropriate analytical approaches to address client questions.
  • Stay current with emerging statistical methodologies and contribute to the development and application of innovative analytical techniques across client projects.

Project Delivery

  • Independently manage statistical workstreams across multiple client engagements, ensuring delivery of high-quality analyses on time, within budget, and to scientific standards.
  • Serve as the statistical lead on assigned projects, coordinating analytical activities and collaborating with health economists, systematic literature review specialists, and project managers.
  • Identify project risks, recommend mitigation strategies, and communicate progress and technical issues proactively to project leadership and clients.
  • Mentor junior statisticians by providing technical guidance, code review, and support for professional development.

Scientific Communication & Business Development

  • Prepare high-quality statistical reports, study documentation, manuscripts, abstracts, posters, conference presentations, and client-facing deliverables.
  • Present statistical methods and findings to internal teams, clients, and external scientific audiences.
  • Contribute to business development activities by supporting proposal development, preparing statistical sections of proposals, developing analytical approaches, estimating level of effort, and participating in client discussions where appropriate.
  • Proactively build client relationships as well as a portfolio of active client-based work.
  • Scope and develop proposals based on evaluation of client requirements.
  • Partner with senior scientific staff to develop innovative statistical methodologies and technical solutions that differentiate RTI Health Solutions in competitive proposals.
  • Support capability presentations and thought leadership initiatives that strengthen RTI's scientific reputation.

Team Leadership & Professional Development

  • Foster a collaborative and innovative team environment that encourages continuous learning and methodological advancement.
  • Mentor junior team members on statistical methodology, programming practices, and scientific communication.
  • Contribute to internal initiatives focused on process improvement, reusable analytical tools, and methodological innovation.
  • Maintain expertise in advanced statistical programming using R, WinBUGS/OpenBUGS/JAGS, SAS, STATA, and emerging analytical technologies.

What You'll Need
  • Bachelor's degree with 5+ years, Master's degree with 3+ years, or PhD with relevant experience in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated experience independently designing and executing statistical analyses in healthcare research, clinical research, HEOR, epidemiology, or related consulting environments.
  • Advanced programming proficiency in R is required; experience with STATA, SAS, or Bayesian software is preferred.
  • Experience contributing to client-facing scientific deliverables and multidisciplinary project teams.
  • Demonstrated ability to interpret scientific literature and communicate complex statistical concepts to both technical and non-technical audiences.

EEO & Pay Equity Statements

For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is available here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.


At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.

Qualifications:
  • Bachelor's degree with 5+ years, Master's degree with 3+ years, or PhD with relevant experience in Statistics, Biostatistics, Mathematics, Data Science, or a related quantitative discipline.
  • Demonstrated experience independently designing and executing statistical analyses in healthcare research, clinical research, HEOR, epidemiology, or related consulting environments.
  • Advanced programming proficiency in R is required; experience with STATA, SAS, or Bayesian software is preferred.
  • Experience contributing to client-facing scientific deliverables and multidisciplinary project teams.
  • Demonstrated ability to interpret scientific literature and communicate complex statistical concepts to both technical and non-technical audiences.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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