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Internship Real World Evidence Rwe Jobs in Reston, VA

ADVI Health

Senior Data Scientist-RWE

Washington, DC · On-site

$126K - $158K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

ADVI Health

Data Scientist-HEOR

Washington, DC · On-site

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

ADVI Health LLC

Data Scientist-HEOR

Washington, DC · On-site +1

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

ADVI Health LLC

Data Scientist-HEOR

Washington, DC · On-site

$90K - $140K/yr

This position offers the opportunity to apply your analytical expertise to real-world evidence (RWE), health outcomes, and market access challenges while making a measurable impact on how treatments ...

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Internship Real World Evidence Rwe information

See Reston, VA salary details

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

As of Jul 13, 2026, the average hourly pay for internship real world evidence rwe in Reston, VA is $16.17, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $18.27 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
Real World Biostatistician - RWE CMH experience

Real World Biostatistician - RWE CMH experience

Syneos Health/ inVentiv Health Commercial LLC

Washington, DC • On-site

Other

This job post has expired today. Applications are no longer accepted.

Syneos Health rating

8.1

Company rating: 8.1 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

32nd of 74 rated pharmaceutical

Job description

Real World Biostatistician - RWE CMH experience

Syneos Health is a leading fully-integrated life sciences services organization built to accelerate customer success. We partner with innovators at every point across the drug development and commercialization continuum, helping them navigate complexity, anticipate change and accelerate progress.
Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you'll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver - for one another, our customers, and, most importantly, for those in need.
Discover what your 25,000 future colleagues already know:
Why Syneos Health
* We are passionate about developing our people, through career development and progression; supportive and engaged line management; technical and therapeutic area training; peer recognition and total rewards program.
* We are committed to building an inclusive culture - where you can authentically be yourself. Central to this is our purpose - Driven to Deliver - which captures the passion of our colleagues to show up each day and shape solutions that have the ability to dramatically impact someone's life.
* We are continuously building the company we all want to work for and our customers want to work with. Why? Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare, driving impact for customers and defining the pace of patient progress.

Job Responsibilities

Job Description

Biostatistician - Real-World Evidence (RWE)

Role Overview

We are seeking a biostatistician with strong experience in real-world data (RWD) with observational study design and safety study experience in addition to RWE CMH experience. This role will support evidence generation across multiple therapeutic areas. This role will focus on the design, analysis, and interpretation of observational studies using EMR and claims data toinform:clinical development, HEOR, regulatory strategy, and market access.

Key Responsibilities

  • Design and execute real-world evidence (RWE) studies using EMR and claimsdata;Conducting data specs,SAPand protocol with key research objectives

  • Develop and apply robust statistical methodologies, including:

  • Causal inference methods (e.g., propensity score methods, weighting, matching; GLM or GLMM, MMRM; survival analysis; random forest)

  • Trial emulation frameworks

  • External control arm development and borrowing strategies

  • Perform data analysis using healthcare coding systems (e.g., ICD, NDC)

  • Conduct sample size estimation and power calculations for observational and hybrid study designs

  • Collaborate cross-functionally with stakeholders across:

  • HEOR

  • Market Access

  • Regulatory

  • Clinical Development

  • Translate complex analytical results into clear, actionable insights,e.g.powerpointor study report for decision-making

  • Support methodological innovation in RWE, including integration of machine learning approaches where appropriate

Required Qualifications

  • M.S. or Ph.D. in Biostatistics, Statistics, Epidemiology, or related field

  • 5 years of experience in RWD/RWE analytics (industry or equivalent)

  • Strong experience with EMR and/or claims data

  • Proficiencyin healthcare coding systems (e.g., ICD, NDC)

  • Programmingexpertisein at least one of: SAS, R, or Python

  • Working knowledge with SQL logic and OMOP data structures

  • Solid understanding of:

  • Causal inference methods

  • Observational study design

  • Sample size and power considerations

  • Some examples: Independently write cohort definitions in SQL logic; Debug data issues e.g., time zero alignment, exposure gaps; Understand concept mapping (ICD SNOMED RxNorm); Translate statisticalestimand censoring rule and data extraction logic

  • RWE CMH Experience

Preferred Qualifications

  • Ph.D. strongly preferred

  • Experience in one or more therapeutic areas:

  • Diabetes

  • Cardiovascular disease

  • Metabolic disorders

  • Familiarity with:

  • Trial emulation methodologies

  • External control borrowing / hybrid designs

  • Basic machine learning methods applied to RWD

  • Demonstrated ability to work across multiple therapeutic areas (TAs) in a fast-paced environment

  • Strong communicationand stakeholder engagement skills

  • Advanced (nice-to-have, not alwaysrequired)

  • Build reusable cohort pipelines

  • Optimizequeries for large-scale databases

  • Work across multiple CDMs (OMOP, Sentinel,PCORnet)

Core Competencies

  • Analytical rigor and methodological depth

  • Cross-functional collaboration

  • Ability tooperatewith agility across diverse projects and therapeutic areas

  • Clear and effective scientific communication

Get to know Syneos Health


Over the past 5 years, we have worked with 94% of all Novel FDA Approved Drugs, 95% of EMA Authorized Products and over 200 Studies across 73,000 Sites and 675,000+ Trial patients.

No matter what your role is, you'll take the initiative and challenge the status quo with us in a highly competitive and ever-changing environment. Learn more about Syneos Health.

http://www.syneoshealth.com

Additional Information


Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, and/or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description. The Company, at its sole discretion, will determine what constitutes as equivalent to the qualifications described above. Further, nothing contained herein should be construed to create an employment contract. Occasionally, required skills/experiences for jobs are expressed in brief terms. Any language contained herein is intended to fully comply with all obligations imposed by the legislation of each country in which it operates, including the implementation of the EU Equality Directive, in relation to the recruitment and employment of its employees. The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.

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