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Internship Real World Evidence Rwe information

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How much do internship real world evidence rwe jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for internship real world evidence rwe in Ridgefield, CT is $15.48, according to ZipRecruiter salary data. Most workers in this role earn between $12.45 and $17.50 per hour, depending on experience, location, and employer.

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

To thrive as an Internship Real World Evidence (RWE) professional, you need a solid background in life sciences, epidemiology, or statistics, often supported by progress toward a relevant degree. Familiarity with data analysis tools like SAS, R, or Python, and experience with healthcare databases or real-world data systems, are typically required. Strong analytical thinking, attention to detail, and collaborative communication skills help interns excel in cross-functional teams and data-driven projects. These competencies are crucial for generating robust, actionable insights from real-world data to inform healthcare decisions and policy.

What is an Internship in Real World Evidence (RWE)?

An Internship in Real World Evidence (RWE) offers students or recent graduates hands-on experience in collecting and analyzing data from real-world sources, such as electronic health records, insurance claims, and patient registries. RWE is used in the pharmaceutical and healthcare industries to evaluate the effectiveness, safety, and value of medical treatments outside controlled clinical trials. Interns may support research studies, help interpret data, and contribute to reports that inform decision-making for healthcare providers and regulators. This type of internship is ideal for those interested in data analysis, public health, and evidence-based medicine.

What types of projects do interns typically work on in a Real World Evidence (RWE) internship?

As an RWE intern, you can expect to contribute to projects involving the collection, analysis, and interpretation of real-world healthcare data, such as electronic health records, claims data, or patient registries. Common responsibilities include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing reports or presentations for internal teams. You will often collaborate with cross-functional teams including epidemiologists, data scientists, and medical affairs professionals, which provides excellent exposure to various aspects of the pharmaceutical or healthcare industry.

What is the difference between Internship Real World Evidence Rwe vs Data Analyst?

AspectInternship Real World Evidence RweData Analyst
Required CredentialsTypically pursuing or recent graduate in healthcare, life sciences, or related fieldsBachelor's degree in statistics, mathematics, computer science, or related fields
Work EnvironmentHealthcare or pharmaceutical companies, research organizations, or academic institutionsVarious industries including finance, healthcare, marketing, and technology
Employer & Industry UsageUsed in pharmaceutical, biotech, and healthcare sectors for evidence generationWidely used across multiple industries for data analysis and reporting

While both roles involve working with data, an Internship Real World Evidence Rwe focuses on analyzing real-world healthcare data to generate evidence for medical decisions, often within healthcare or pharma settings. A Data Analyst has a broader scope, working with various data types across industries to interpret and visualize data for business insights.

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Internship Real World Evidence Rwe jobs near you
Principal Real World Evidence (RWE) Scientist

Principal Real World Evidence (RWE) Scientist

Penfield Search Partners

Fairfield, CT • On-site

Other

Posted 26 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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