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Real World Evidence Rwe Jobs in Manassas, VA (NOW HIRING)

Axle

Director of Data Solutions

Rockville, MD · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Real-world evidence enablement engines * Build reusable "engines" for RWE execution: cohorting/phenotyping pipelines, reproducible protocol templates, causal inference/target trial tooling patterns ...

Tempus

Molecular Technologist I-III

Triangle, VA · 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 ...

Tempus

Molecular Technologist I-III

Triangle, VA · 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 ...

Tempus

Molecular Technologist I-III

Triangle, VA · 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 ...

Tempus

Director, Biostatistics

Triangle, VA

$190K - $260K/yr

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 ...

Tempus

Program Manager, Product Development

Triangle, VA · On-site

$85K - $130K/yr

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 ...

Thinkbrg

Managing Consultant, Antitrust

Washington, DC

$11K - $170K/yr

... interest in answering real-world applied economics questions, including in the areas of ... evidence , management of existing client relationships, development and presentation of client ...

Evidence Action

Chief Growth Officer

Washington, DC · On-site +1

  • Medical

  • Life

  • Retirement

About Evidence Action At Evidence Action, we deliver data-driven interventions that transform lives ... Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm ...

Evidence Action

Chief Growth Officer

Washington, DC · Remote

  • Medical

  • Life

  • Retirement

About Evidence Action At Evidence Action, we deliver data-driven interventions that transform lives ... Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm ...

Evidence Action

Chief Growth Officer

Washington, DC

  • Medical

  • Life

  • Retirement

About Evidence Action At Evidence Action, we deliver data-driven interventions that transform lives ... Our Deworm the World program has delivered over 2 billion treatments, significantly reducing worm ...

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Showing results 21-40

All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Manassas, VA

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 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.

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.

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.

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Real World Evidence Rwe jobs near you

Biostatistician

Tunnell Government Services

Bethesda, MD • On-site

Full-time

Re-posted 7 days ago

Job description

Full Time Position:  Biostatistics Consultant in support of the Office of Product Evaluation (OPEQ), Center for Devices and Radiological Health (CDRH), Food and Drug Administration (FDA)

Duty Description:  The contractor shall provide expert consultant service in biostatistics consistent with (but not limited to) the following consensus standards:

  1. FDA "Guidance for Industry and Food and Drug Administration Staff" documents and webinars, applicable to statistical data analysis, such as Statistical Guidance on Reporting Results from Studies Evaluating Diagnostic Tests - Guidance for Industry and FDA Staff LINK, Guidance for the Use of Bayesian Statistics in Medical Device Clinical Trials LINK, and Use of Real-World Evidence to Support Regulatory Decision-Making for Medical Devices LINK.
  2. Applicable academic and professional consensus standards relevant to methodologies of data analysis used for clinical trials, biostatistics, real-world evidence, etc. and as applicable to the regulatory domain.

Scope of Work:  Duties shall be provided under the direction of federal personnel, and include but are not limited to:

Provide scientific, technical, and regulatory support involving the discipline of statistics in support of assessment of regulatory submittals, and in response to questions related to the access and use of clinical evidence. This will entail application of targeted technical and/or functional expertise in one or more key areas relevant to the subject domain.  Work will be accomplished in collaboration with more senior federal team members in achieving designated objectives.

The candidate will complete research and perform relevant analyses involving assessment of statistical aspects of regulatory submissions. These analyses should align with requirements established in applicable statutory and agency-specific guidelines, e.g., Investigation Device Exemption (IDE) under 21 CFR 812, Protection of Human Subjects under 21 CFR 50, and Institutional Review Boards under 21 CFR 5. Because FDA does not prescribe specific statistical approaches, under the guidance of more senior federal team members, the candidate will research, based on statistical practice and applicable standards, whether those included are fit for purpose and documented adequately. In conjunction with more senior federal team members, the candidate's research/analyses will contribute to decision-making (carried out at the team-level) regarding the status of regulatory submissions. 

Specific analyses are expected to involve the following, as part of statistical analyses of Investigational Device Exemptions and assessment of clinical trial data:

  • Analysis of data provided to establish safety and effectiveness of the proposed device, to include evaluation of statistical analyses used to demonstrate benefit of device use, and/or reliability.
  • Assessment of pre-clinical data to determine the validity of said data, as part of determining safety and effectiveness of devices
  • Analysis addressing adequacy of experimental approaches to clinical trial design and execution, e.g., trial design and protocol development, data monitoring and conduct, data management, data analysis, interpretation of results.

In general, the candidate will participate in on-site and remote meetings to discuss regulatory submissions. The work will entail a combination of collaborative, team tasks and independent research.

Minimum Candidate Requirements:

  • Advanced degree in life sciences, or other area relevant to Statistics or computer science or data science
  • At least 10 years of experience in relevant positions
  • Advanced expertise in regulatory and/or biomedical domain may suffice in lieu of years of experience
  • Experience in the conduct of statistical evaluation within the field of life science
  • Programming skills in SAS and R
  • Ability to work collaboratively with others in a team environment
  • Strong communication skills
  • Must be a United States Citizen or a Full Green Card holder

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