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Real World Evidence Rwe Scientist Jobs (NOW HIRING)

Real World Evidence (RWE) Analyst Location: 100% Remote Contract Duration: 06 Months Pay Range: $70 ... sciences (e.G., SAS, R) Experience in biopharmaceutical industry Excellent verbal, written and ...

Real World Evidence Director

Plainsboro, NJ ยท On-site

$225K - $300K/yr

The Position The Director, Real World Evidence (RWE) leads the development and execution of RWE for ... Communicates RWE to customers and scientific community via publication and conferences * Leadership ...

Real World Evidence Director

Plainsboro, NJ ยท On-site

$225K - $300K/yr

The Position The Director, Real World Evidence (RWE) leads the development and execution of RWE for ... Communicates RWE to customers and scientific community via publication and conferences * Leadership ...

The Position The Director, Real World Evidence (RWE) leads the development and execution of RWE for ... Communicates RWE to customers and scientific community via publication and conferences * Leadership ...

... Real-World Evidence is responsible for driving growth with biopharma customers by leveraging ... Partner with marketing, product, and science teams to deliver tailored RWE solution proposals ...

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Showing results 1-20

Real World Evidence Rwe Scientist information

See salary details

$50.5K

$111.3K

$137.5K

How much do real world evidence rwe scientist jobs pay per year?

As of Jun 21, 2026, the average yearly pay for real world evidence rwe scientist in the United States is $111,343.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Real World Evidence (RWE) Scientist, and why are they important?

To thrive as a Real World Evidence (RWE) Scientist, you need a solid background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a related field. Proficiency with data analytics platforms (such as SAS, R, or Python), experience with real-world data sources (like EMRs and claims databases), and familiarity with regulatory guidelines are essential. Strong communication, critical thinking, and collaboration skills help translate complex findings into actionable insights for cross-functional teams. These abilities are crucial for generating high-quality, impactful evidence that informs healthcare decisions and regulatory submissions.

What is a Real World Evidence (RWE) Scientist?

A Real World Evidence (RWE) Scientist is a professional who collects, analyzes, and interprets data from real-world sources, such as electronic health records, insurance claims, and patient registries. Their goal is to generate insights about the effectiveness, safety, and value of medical treatments outside of controlled clinical trials. RWE Scientists play a crucial role in informing healthcare decision-making, regulatory submissions, and drug development by providing evidence on how treatments perform in routine clinical practice. They often work closely with biostatisticians, epidemiologists, and medical professionals.

How does a Real World Evidence (RWE) Scientist typically collaborate with cross-functional teams in the pharmaceutical industry?

As a Real World Evidence Scientist, you will frequently collaborate with cross-functional teams such as clinical development, biostatistics, epidemiology, regulatory affairs, and medical affairs. Your role involves translating complex real-world data into actionable insights, often requiring you to communicate findings clearly to both technical and non-technical stakeholders. You'll also work closely with data engineers and external partners to ensure data quality and integrity. Effective teamwork and interdisciplinary communication are essential, as RWE projects often inform strategic decisions in product development and regulatory submissions.
Infographic showing various Real World Evidence Rwe Scientist job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 92% Full Time, 6% Contract, and 1% Nights. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $111,343 per year, or $53.5 per hour.
Principal Real World Evidence (RWE) Scientist

Principal Real World Evidence (RWE) Scientist

Penfield Search Partners

Fairfield, CT โ€ข On-site

Other

Posted 7 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.