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

As of Sep 5, 2026, the average hourly pay for internship real world evidence rwe in Fairfield, CT is $15.85, according to ZipRecruiter salary data. Most workers in this role earn between $12.74 and $17.88 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as an internship real world evidence (RWE) professional?

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 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
Infographic showing various Internship Real World Evidence Rwe job openings in Fairfield, CT as of August 2026, with employment types broken down into 77% Full Time, 20% Part Time, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $32,967 per year, or $15.8 per hour.

Principal Biostatistician - Medical Affairs (Remote)

Penfield Search Partners

Fairfield, CT • On-site, Remote

Full-time

Posted 25 days ago

Job description

Job Description We are partnering with a leading biopharmaceutical client seeking an experienced Principal Biostatistician to support its Medical Affairs Statistics, Epidemiology, and Real-World Evidence (RWE) organization. This individual will perform and validate statistical analyses in support of Medical Affairs initiatives while providing oversight of statistical and programming work conducted by external vendors as needed. The Principal Biostatistician will collaborate closely with cross-functional Medical Affairs stakeholders on evidence-generation activities, including those incorporating real-world data and evidence.

The role will provide statistical guidance on clinical and lifecycle management initiatives, advise on analytical strategies, and recommend appropriate methodological approaches to support integrated evidence generation and informed decision-making. Essential Functions Work collaboratively with other members of the Medical Affairs team to develop and provide scientifically sound analyses that answer questions to support and enhance publications and knowledge of company products. Contribute to publication objectives including timelines, statistical and analytical requirements for publications and projects.

Develop, design, and oversee or perform post-hoc analyses of existing databases and meta-analyses as needed and appropriate Support clinical development biostatistics with exploratory analyses necessary for submissions and regulatory queries. Review publications, marketing materials, and education and training materials that contain clinical data and product claims Stay informed with data being generated in current clinical development programs Manage CROs regarding statistical activities to ensure timely delivery of quality analysis results as necessary Collaborate and provide statistical support to the HEOR group in relevant areas including HTA and NTAP submissions. Develop real world evidence strategies utilizing real-world data assets to design and execute RWE research projects, including the development of protocols and statistical analysis plans, in collaboration with epidemiology and RWE leadership team.

Stay current with new developments in statistics, drug development, and regulatory guidance through literature review, conference attendance, and other professional development activities. Minimum Requirements Master's degree with >2 years of experience; OR PhD in statistics, mathematics or a related discipline with a statistical focus. Proficient in drug development regulations pertinent to statistical analysis Proficient SAS & R programming skills Understanding of CDISC SDTM and ADAM models and standards is preferred, but not required.

Excellent writing and communication skills, demonstrated leadership abilities and excellent interpersonal skills. Able to work in a fast-paced, flexible, team-oriented environment.

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