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Real World Evidence Rwe Jobs in Washington (NOW HIRING)

Senior Data Scientist-RWE

Washington, DC · On-site

$126K - $158K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

Data Scientist-HEOR

Washington, DC · On-site +1

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

Data Scientist-HEOR

Washington, DC · On-site

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

Data Scientist-HEOR

Washington, DC · On-site +1

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

Data Scientist-HEOR

Washington, DC · On-site

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

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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 jobs are there in clinical trials?

Jobs in clinical trials include Clinical Research Coordinators, Clinical Data Managers, Clinical Research Associates, and Study Monitors. These roles involve tasks such as patient recruitment, data collection, monitoring trial progress, and ensuring compliance with regulations, often requiring knowledge of Good Clinical Practice (GCP) and relevant certifications. The work environment is typically in hospitals, research centers, or pharmaceutical companies, with schedules varying from standard to flexible hours.

What is RCT and RWE?

In the context of a Real World Evidence (RWE) role, RCTs (Randomized Controlled Trials) are clinical studies that randomly assign participants to different treatments to assess efficacy, while RWE involves analyzing data from real-world settings like electronic health records and insurance claims to evaluate treatment effectiveness outside controlled trials. Both are important for informing healthcare decisions and regulatory approvals, with RWE complementing RCT data by providing insights from everyday clinical practice.

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 roles in clinical trials?

In clinical trials, roles include Principal Investigator who oversees the study, Study Coordinators who manage daily operations, Data Managers who handle data collection and analysis, and Regulatory Affairs Specialists who ensure compliance with regulations. These roles require specific skills, certifications, and knowledge of Good Clinical Practice (GCP) guidelines to ensure the trial's integrity and participant safety.

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 is RWE in clinical research?

Real World Evidence (RWE) in clinical research refers to data collected from real-world settings outside controlled clinical trials, such as electronic health records, insurance claims, and patient registries. RWE helps researchers and healthcare professionals understand how treatments perform in routine practice and supports decision-making for drug development and regulatory approval.
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Infographic showing various Real World Evidence Rwe job openings in Washington as of July 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution.

Senior Data Scientist-RWE

ADVI Health

Washington, DC • On-site

$126K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Job description

About Us
ADVI Health: Expert Advice. Clear Vision.
Since 2013, clients have sought ADVI Health's expert advice, informed by data and guided by a clear vision of the complex intersection of life sciences/healthcare innovation, economics, policy, and patient impact. Our aim is to be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators, worldwide.
We are a collaborative team of consultants and advisors, all of whom are veterans of top healthcare and life sciences organizations, the federal government, state government, top consultants, nonprofits, commercial payers, or data and analytics companies. Our work cuts through complexity across asset, franchise, corporate, and executive level strategy, shapes markets, and enables therapies to launch faster, smarter, and at scale in multiple therapeutic areas, lifecycle stages, and areas of the world. Our global client roster includes biopharma manufacturers, MedTech, precision medicine diagnostics and tools companies, and cancer provider and patient organizations, from the C-suite down and across the product lifecycle. We solve complicated problems with data-informed commercialization, market access, and policy expertise. Based in Washington, DC and Austin, TX, the company delivers insight- and data-informed advice and vision for leaders in healthcare business and policy. ADVI offers a comprehensive perspective by integrating business, policy, and science to find creative solutions through data, learned insight, and compelling strategy to help clients make decisions across all healthcare segments.
ADVI is at the forefront of healthcare delivery transformation, payment reform, public and private payer coverage, and healthcare merger and acquisition deal flow within the US and abroad. To learn more... visit us at www.advi.com
Overview
We are seeking a passionate HEOR/RWE Senior Data Scientist to join our growing Strategic Analytics, Value, and Economics team. In this role, you'll leverage advanced data science and health economics methods to help shape access to life-saving therapies and innovations. You'll work with rich, real-world healthcare data including Medicare and Medicaid claims to uncover insights that directly inform policy, pricing, and patient access decisions across the life sciences sector. This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments reach the patients who need them most.
Analytics and coding work will include health economics and outcomes research (HEOR), market basket assessment of diseases or treatment usage, and related evidence-generation studies for pharma clients.
Job Duties
• Design and execute rigorous analyses of Medicare, Medicaid, and commercial healthcare claims data to generate real-world evidence supporting HEOR, value, and market access initiatives.
• Design and lead claims-based RWE analyses evaluating utilization, cost, and quality impacts using CCW data in VRDC and other secure environments.
• Develop and validate SAS programs to support observational studies, comparative effectiveness research, and health economic analyses.
• Build and maintain analytical models and data pipelines using SAS to ensure accuracy, reproducibility, and scalability of HEOR analyses.
• Synthesize findings into clear, compelling insights that inform payer strategy, pricing, reimbursement, and policy decisions for life sciences clients.
• Collaborate cross-functionally with internal teams and client stakeholders to align evidence generation strategies with business and scientific goals.
• Developing RWE reporting systems, continuous data quality optimization, and analytics for health economics and outcomes research (HEOR) evaluation and stakeholder decision-making.
Key Responsibilities
• Lead components of analyses or deliverables under general guidance.
• Conduct independent research and interpret data.
• Support proposal inputs and client-ready materials.
• Mentor Associates on basic methods and quality standards.
Core Competencies
Technical Proficiency
Problem Solving
Accountability
Mentorship
Client Awareness
Requirements
• Master's or PhD in Data Science, Biostatistics, Health Economics, Epidemiology, Public Health, Computer Science, or a related quantitative field
• Experienced in both qualitative & quantitative research, survey design, and analyses.
• At least 7 years of related experience, with SAS programming experience.
• 7+ years of experience (or equivalent graduate-level research experience) applying data science in healthcare, HEOR, or life sciences.
• Proven ability to translate complex findings into clear, decision-ready insights to support payer strategy, value assessment, and policy making.
• Demonstrated experience with large-scale health data analysis (claims, EHR, registry, or clinical trial data).
• Solid understanding of health outcomes, cost analyses, and study designs used in HEOR and RWE research.
• Experience working in HEOR, value and economics outcomes research (VEOR), or real world evidence (RWE) claims experience
• Extensive experience working with health care datasets and performing quantitative research
An ideal candidate may also have:
• Understanding of health care policy issues in Medicare and/or Medicaid
• Experience working with data offered in the CMS' Chronic Condition Warehouse
• Experience working in the Virtual Research Data Center (VRDC) offered by CCW
• Experience working with data in Medicare Standard Analytic Files (SAF), Research Identifiable Files (RIF), or Medicaid T-MSIS data
Location
Candidates can be based anywhere in the U.S., with a preference for those operating in the Eastern or Central Standard Time Zone. Candidates based in Washington, DC or Austin, TX, will have the option of hybrid work arrangements.
Compensation and Benefits
The annual base salary range is $126,000-$158,000 plus a bonus plan. This range reflects ADVI's current expectations for the role. Actual compensation may vary and will be determined based on a number of factors including, but not limited to, job related skills, experience, education, internal equity, and market considerations. The base salary range does not include bonuses, potential commission or other incentive compensation, which may be available as part of the total rewards package. Additional details regarding compensation philosophy and benefits will be shared by the recruiter during the interview process.
ADVI offers an outstanding benefits package, including the following:
• Medical, dental, and vision
• 8 paid holidays, including one ADVI Anniversary Day per calendar year
• 401(k) retirement contribution match, up to 3 percent of salary, with immediate vesting
• Health Reimbursement Account
• Life and short-term and long-term disability insurance
• Paid vacation and sick leave
Diversity Statement
ADVI's commitment to diversity, equity, inclusion, and collaboration is key to building extraordinary teams. We hire people with exceptional talents, abilities, and potential, then build an environment where you can become the best version of yourself.
Our Vision
To be the leading and most knowledgeable go-to-market access and commercialization partner for life sciences and healthcare innovators worldwide.
Our Mission
To provide life science and healthcare innovators the benefit of our team's wisdom, empathy, and creativity that, through data-informed strategy, generates evidence to optimize outcomes and, through tech-enabled access solutions, creates opportunities and expands care.
Our Values
Act with Integrity
Strive for Excellence
Make an Impact
Think smart, Stay curious
Celebrate the Journey, not just the results
We look forward to hearing from you!
#LI-Remote
Salary Description
126,000-158,000 base salary