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Real World Evidence Rwe Jobs (NOW HIRING)

IQVIA Argentina

$163 - $454/hr

Forms the core of RWE account teams responsible for sales, solutioning, and project management ... Real World Evidence, specifically External Comparator Studies, Evidence Platforms, Integrated ...

Novellia

$160 - $200/hr

Lead the design and execution of real-world evidence studies across natural history, comparative ... Master or PhD in epidemiology, pharmacoepidemiology, or a closely related field * 7+ years of RWE ...

Boston Scientific Gruppe

$126 - $239/hr

Program Manager, Global Real-World Evidence Onsite Location(s): Arden Hills, MN, US, 55112 ... RWE program strategy and execution * Lead the intake, prioritization, planning, and execution of ...

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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.

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Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in the United States as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 70% In-person, 5% Hybrid, and 25% Remote job distribution.

Associate Research Scientist, Real World Evidence

Precision AQ

Remote

Full-time

Posted 19 days ago

Job description

Associate Research Scientist - RWE

Are you looking to work with a dynamic team of industry leading professionals in the HEOR space? Is your passion leading Real World Evidence studies that improve healthcare outcomes worldwide? Our Real-World Evidence team is hiring an Associate Research Scientist to join our team of research professionals conducting real-world studies in the pharmaceutical and biotech space, operating as a thought leader, problem solver, and data expert.

This is a fully remote position.

About You:

  • You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports.
  • You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction.
  • You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution.

About The Role:

As an Associate Research Scientist on the RWE team at Precision AQ, you will contribute to multiple projects comprised of cross-functional staff, serving as the analytics expert on the project. You will prepare and perform analyses of primary and secondary data, develop protocols and analysis plans, design RWE studies, and communicate study results internally and externally.

Required Experience:

  • Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health
  • Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS
  • 0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs
  • Ability to work effectively individually and as part of a diverse team

Helpful Experience:

  • Strong organizational skills, including the ability to meet deadlines and balance competing demands
  • Willingness and desire to learn and share knowledge
  • Excellent oral and written communication skills

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