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Real World Evidence Rwe Jobs (NOW HIRING)

Novo Nordisk

Real World Evidence Director

Plainsboro, NJ · On-site

$225K - $300K/yr

The Position The Director, Real World Evidence (RWE) leads the development and execution of RWE for the assigned therapeutic area or function area through serving as the principal investigator on ...

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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 is the difference between RWE and real-world data?

In the context of a Real World Evidence (RWE) role, real-world data (RWD) refers to the raw data collected from sources like electronic health records, claims databases, and patient registries. RWE is the clinical evidence generated by analyzing and interpreting RWD to inform healthcare decisions, regulatory approvals, and policy making. RWD is the data input, while RWE is the meaningful insights derived from that data through analysis and research methods.

How do you get into RWE?

To enter a role in Real World Evidence (RWE), candidates typically need a background in healthcare, epidemiology, or data science, along with skills in biostatistics and familiarity with electronic health records and real-world data sources. Gaining experience through relevant internships, certifications, or advanced degrees can improve prospects. Proficiency in statistical software and understanding of regulatory requirements are also valuable.

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 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 are examples of real world evidence?

Real World Evidence (RWE) in the context of a role like a Real World Evidence professional involves data collected from sources outside traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. These data sources are analyzed to assess treatment effectiveness, safety, and healthcare outcomes in real-world settings, often using statistical and data management tools. RWE helps inform healthcare decisions and regulatory approvals by providing insights from diverse patient populations outside controlled environments.

What is RWE real world evidence?

Real World Evidence (RWE) is data collected from real-world settings such as electronic health records, claims data, and patient registries. In the context of a role like a Real World Evidence (RWE) professional, it involves analyzing this data to support healthcare decision-making, regulatory submissions, and clinical research using statistical tools and data management skills.
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Real World Evidence Rwe jobs near you
Principal Real World Evidence (RWE) Scientist

Principal Real World Evidence (RWE) Scientist

Penfield Search Partners

Fairfield, CT

Other

Posted 29 days ago

Job description

Job Description Contact: Neisha Camacho/Terra Parsons - teamnt@penfieldsearch.com No 3rd party candidates Brief Description: The Principal Real World Evidence (RWE) Scientist (Contractor) will provide scientific and analytical leadership for real world evidence generation using large healthcare data sources, including administrative claims and electronic medical records (EMR). This role supports the evaluation of real world clinical and economic outcomes for company products, with a strong focus on oncology. The contractor will lead the tactical planning, execution, and oversight of RWE studies, ensuring the timely delivery of high quality, scientifically robust research outputs

Essential Functions Support the design and execution of RWE studies or internal analytic projects using administrative claims and EMR data, including development of research protocols and input into statistical analysis plans (SAPs). Oversee end to end project execution in collaboration with external research vendors and/or internal analytics teams. Provide scientific guidance to ensure methodological rigor, data quality, and interpretability of study findings.

Manage project timelines, milestones, and deliverables, ensuring adherence to agreed upon schedules. Coordinate and facilitate study team communication, including preparation and dissemination of interim and final study results to key stakeholders. Stay current with evolving RWE methodologies, regulatory expectations, and industry best practices, applying relevant innovations to ongoing projects.

Support recurring reports, ad hoc analyses, and regulatory or scientific dissemination activities as required. Minimum Requirements PhD in Epidemiology, Biostatistics, Health Outcomes Research, or a related field with 2+ years of relevant post graduate research experience; or MS in Epidemiology or a related discipline with 4+ years of applied research experience. Minimum 2 years of hands on experience analyzing healthcare claims and EMR databases (e.g., Flatiron or similar)

Demonstrated experience managing RWE projects utilizing secondary data sources and/or chart review studies. Strong understanding of observational study design, bias mitigation, and real world data limitations. Proven ability to manage multiple projects concurrently in a fast paced environment.

Experience conducting RWE research in oncology is strongly preferred. Excellent collaboration, communication, and stakeholder management skills. Ability to operate independently while working effectively within cross functional and matrixed teams.

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