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Internship Real World Evidence Rwe Jobs in Springfield, VA

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for ...

Each summer culminates in a cross-disciplinary AI Innovation Challenge, where interns team up to solve a real-world health IT problem. * Networking: Build lasting connections with peers, mentors, and ...

... internships during the last 180 days of service ... SkillBridge connects Service members with industry partners in real-world job experiences. For ...

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Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for ...

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Internship Real World Evidence Rwe information

See Springfield, VA salary details

$9

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

As of Jul 3, 2026, the average hourly pay for internship real world evidence rwe in Springfield, VA is $16.24, according to ZipRecruiter salary data. Most workers in this role earn between $13.08 and $18.32 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.

What are popular job titles related to Internship Real World Evidence Rwe jobs in Springfield, VA? For Internship Real World Evidence Rwe jobs in Springfield, VA, the most frequently searched job titles are:
What job categories do people searching Internship Real World Evidence Rwe jobs in Springfield, VA look for? The top searched job categories for Internship Real World Evidence Rwe jobs in Springfield, VA are:
What cities near Springfield, VA are hiring for Internship Real World Evidence Rwe jobs? Cities near Springfield, VA with the most Internship Real World Evidence Rwe job openings:
Principal Statistical Programmer FSP - RWD/EPI

Principal Statistical Programmer FSP - RWD/EPI

Cytel

Washington, DC • On-site

Other

Posted 10 days ago


Job description

You will contribute by:

  • Providing support to the Epidemiology team by preparing Real World data, advising on data analytic strategies, and supporting stakeholders in various epidemiology analytic activities

  • Programming and conducting statistical analysis under the direction and supervision of epidemiologists/statisticians including data coding, creation of algorithms, linkage of datasets, and use of statistical packages or platforms

  • Supporting statistical programming to generate innovative means of data standardization, visualization, and reporting of observational data

  • Supporting Medical Affairs (e.g. observational studies leveraging RWD); Global Patient Safety and Risk Management (e.g., analysis to obtain background rates) for the development of regulatory/safety documents, and Clinical Development (e.g.; assessment of patient populations/ protocol feasibility)

  • The position will partner with Epidemiologists to manage relationships with internal and external stakeholders

  • Being able to prioritize and manage work across multiple projects and stakeholders

  • Providing strong communication to ensure successful and timely project delivery

  • Solving technical problems with experience and expertise

Summary of Key Responsibilities:

  • Assist in development of study protocols and analysis plans leveraging large RWD sources (Claims and/or EHR)

  • Liaise with data vendors to obtain relevant data extracts for research studies consistent with study protocols

  • Create analytical databases from data extracts to facilitate conduct of data analyses

  • Conduct analyses consistent with methods set forth in study protocols and analysis plans

  • Produce tables and figures for discussions with other investigators, clients, and for study reports

  • Present results internally and to clients

  • Assist in the preparation of study reports and other deliverables

  • May have supervisory responsibilities in the future

What we’re looking for:

  • Master’s degree or PhD in related field (epidemiology, biostatistics, statistics, bioinformatics, economics) and 5+ years of experience conducting RWE analytics for pharma industry, CRO, or academic institution

  • Intermediate to expert level proficiency in SQL is a must. In addition, SAS or R proficiency is required

  • Deep expertise analyzing RWE data sources such as Optum (Clinformatics Datamart® and Market Clarity), Truveta and UK Biobank. Experience analyzing clinical trial and/or registry data is desirable

  • Familiarity with relational databases and proficient understanding of claims and ancillary file layouts

  • Experience with applied statistics including regression analysis (OLS, longitudinal, logistic, Cox, GLM/GEE), survival analyses (Kaplan-Meier, cumulative incidence, accelerated failure time models), and propensity weighting

  • Excellent project management skills; can prioritize multiple tasks and goals to ensure timely completion

  • Confident and competent when interacting with internal and external stakeholders

  • Strong written/verbal communication skills. Highly effective at summarizing and presenting key considerations and evidence

Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.