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Internship Real World Evidence Rwe Jobs in Pennsylvania

Support cross-functional Real World Evidence teams consisting of internal partners with the clear ... Drive RWE innovations and effective communication to internal stakeholders, regulatory, health ...

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Internship Real World Evidence Rwe information

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 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.

What are the most commonly searched types of Real World Evidence Rwe jobs in Pennsylvania? The most popular types of Real World Evidence Rwe jobs in Pennsylvania are:
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Infographic showing various Internship Real World Evidence Rwe job openings in Pennsylvania as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Senior Manager - Real-World Evidence (RWE), Immunology

CYNET SYSTEMS

Spring House, PA โ€ข On-site

$55/hr

Contractor

Re-posted 19 days ago


Job description

Job Overview:

Requirement/Must Have:

  • Masters in Epidemiology, Biostatistics, Data Science, Public Health, Biomedical Informatics, or a related quantitative discipline.
  • Would prefer a PhD with qualifications.
  • Experience working with real-world data (e.g., electronic health records, claims, registries) from diverse healthcare systems.
  • Proficiency in R, Python, or SAS; familiarity with OMOP CDM and OHDSI tools is highly desirable.
  • Strong written and verbal communication skills.
  • Demonstrated ability to work effectively in multicultural, multidisciplinary teams.

Responsibilities:

  • Conduct high-impact research using large-scale observational databases and clinical trial data to generate real-world insights.
  • Design and execute studies in collaboration with global cross-functional teams, including clinical, regulatory, epidemiology, and data science.
  • Develop protocols, statistical analysis plans, and programming specifications aligned with international standards.
  • Deliver high-quality outputs including analysis-ready datasets, visualizations, and manuscripts for peer-reviewed publication.
  • Present findings to internal and external stakeholders, including global scientific and regulatory audiences.
  • Stay current with global trends in RWE methodologies, data privacy regulations, and health technology assessment.

Nice to Have:

  • Experience working with data sources from low- and middle-income countries (LMICs), including national health surveys, regional registries, or community-based studies.
  • Familiarity with LMIC health systems, including data infrastructure, care delivery models, and public health priorities.
  • Knowledge of global health policies, including WHO guidelines, international data governance frameworks, and health equity initiatives.
  • Experience with digital health technologies, such as mobile health platforms, remote monitoring tools, or AI-enabled diagnostics.
  • Prior collaboration with pharmaceutical companies, including experience in clinical development, regulatory strategy, or health economics and outcomes research (HEOR).
  • Experience with international regulatory submissions or health authority interactions.
  • Familiarity with machine learning, causal inference, and advanced statistical modeling.
  • Prior publications in peer-reviewed journals and presentations at global conferences.

Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse. Proudly recognized as a nationally and locally certified diversity firm, Cynet delivers agile, scalable talent solutions across industries. With an active footprint in all 50 U.S. states and Canada, we support thousands of consultants through our expansive, high-performing recruitment engine operating across North America and Asia—ensuring speed, quality, and consistency in every hire.

Cynet Systems logo

About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

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