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Real World Evidence Rwe Jobs (NOW HIRING)

You will serve as a trusted advisor on the use of real-world data (RWD) and RWE to support ... evidence generation requirements. The ideal candidate is comfortable leading complex, multi ...

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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.

More about Real World Evidence Rwe jobs

What cities are hiring for Real World Evidence Rwe jobs?

Cities with the most Real World Evidence Rwe job openings:

What are the most commonly searched types of Real World Evidence Rwe jobs?

The most popular types of Real World Evidence Rwe jobs are:

What states have the most Real World Evidence Rwe jobs?

States with the most job openings for Real World Evidence Rwe jobs include:

Infographic showing various Real World Evidence Rwe job openings in the United States as of August 2026, with employment types broken down into 7% Internship, 47% Full Time, 33% Part Time, and 13% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Associate Director, Real World Evidence (RWE) Science

Ubertal Inc

Waltham, MA โ€ข Remote

Contractor

Re-posted yesterday


Job description

Job Title: Associate Director, Real World Evidence (RWE) Science – Phase IV / Post-Approval (Contract)

Location: United States (Remote; Eastern Time business hours preferred)
Duration: 7-Month Contract (Full-Time, 40 hours/week)
Start: Targeting Early March 2026

We are seeking an experienced Associate Director, Real World Evidence (RWE) Science to provide coverage for a Phase IV / post-approval RWE portfolio within a global Medical Affairs environment. This is a senior-level individual contributor role requiring deep epidemiology and real-world evidence expertise, strong methodological leadership, and the ability to independently manage ongoing studies with minimal ramp-up.

This position supports global stakeholders, including Europe, and requires flexibility for early morning meetings aligned to EU collaboration.

Key Responsibilities

  • Lead scientific oversight of Phase IV and post-approval real-world evidence (RWE) and observational studies

  • Provide methodological and technical leadership for study design, feasibility assessments, and evidence planning (EU focus)

  • Oversee vendors/CROs conducting outsourced analyses; review protocols, statistical analysis plans, and outputs to ensure scientific rigor

  • Conduct and/or supervise systematic literature reviews (SLRs) and meta-analyses

  • Contribute to development of RWE plans aligned with regulatory, HTA, and post-approval commitments

  • Support retrospective analyses leveraging real-world data sources (claims, EHR, registries)

  • Guide protocol development for observational studies and pragmatic trials

  • Perform evidence reviews to inform regulatory submissions, reimbursement strategy, and medical strategy

  • Collaborate with Regional Medical Affairs on scientific exchange and external RWE engagement

  • Support development of abstracts, posters, manuscripts, and internal scientific communications

Required Qualifications

  • Advanced degree (MD, PhD, or MS) in Epidemiology, Biostatistics, Public Health, or related field

  • 8–10+ years of progressive experience in epidemiology and real-world evidence

  • Minimum 5 years of Pharma or Biotech industry experience

  • Strong expertise in:

    • Phase IV / post-approval epidemiologic study design

    • Retrospective real-world data (RWD) analyses

    • Observational research methodologies

  • Experience overseeing vendors/CROs and critically evaluating statistical methodologies

  • Proficiency with statistical software (R, SAS, Stata) and strong understanding of claims/EHR data structures

  • Demonstrated ability to work autonomously in a global, matrixed environment

  • Flexibility to support EU collaboration across time zones

Preferred Qualifications

  • Experience supporting regulatory or HTA-facing RWE deliverables

  • Vaccines, infectious disease, or public health epidemiology background

  • Experience with systematic literature reviews and meta-analyses

  • R programming skills, including simulations, power calculations, or Shiny applications

  • Experience with data extraction, cleaning, and standardization for RWD

  • Prior authorship of scientific publications and presentations

  • Experience supporting EU feasibility assessments and RWE expectations

Role Highlights

  • Senior-level RWE leadership without people management responsibilities

  • High-visibility Phase IV and real-world effectiveness portfolio

  • Global collaboration with strong EU engagement

  • Remote flexibility within the United States

Qualified candidates with deep RWE and epidemiology expertise, strong methodological grounding, and Phase IV experience in Pharma/Biotech are encouraged to apply.