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Real World Evidence Intern Jobs in Arizona (NOW HIRING)

Marketing Intern

Phoenix, AZ · On-site

$15 - $19.75/hr

The intern will work directly with our marketing team and gain practical experience supporting real-world marketing initiatives. Responsibilities * Assist with social media planning, scheduling, and ...

Familiarity with real-world evidence and claims datasets, and with de-identification and expert-determination concepts.Experience with data governance, data dictionary maintenance, and work requiring ...

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Real World Evidence Intern information

What does a Real World Evidence Intern do?

A Real World Evidence (RWE) Intern supports research teams in collecting, analyzing, and interpreting health data from real-world settings, such as electronic health records, insurance claims, and patient registries. Their work helps organizations understand how medical treatments perform outside of controlled clinical trials. Interns may assist in data management, statistical analysis, literature reviews, and preparing research reports. This role is important for generating insights that inform healthcare decisions, regulatory submissions, and market access strategies.

What are the key skills and qualifications needed to thrive as a Real World Evidence Intern?

To thrive as a Real World Evidence Intern, you generally need a background in life sciences or public health, analytical skills, and coursework in statistics or epidemiology. Familiarity with data analysis tools such as SAS, R, or Python, as well as exposure to healthcare databases, is typically required. Attention to detail, strong communication, and a collaborative mindset are important soft skills for this role. These skills and qualities ensure accurate data interpretation, effective teamwork, and the ability to generate insights that support real-world healthcare decision-making.

What types of projects do Real World Evidence Interns typically work on during their internship?

Real World Evidence Interns often contribute to projects analyzing healthcare data, such as electronic health records and claims data, to generate insights about patient outcomes and treatment patterns. Typical responsibilities may include supporting data cleaning, conducting literature reviews, assisting with statistical analyses, and preparing presentations or reports for cross-functional teams. Interns frequently collaborate with data scientists, epidemiologists, and medical affairs colleagues, gaining exposure to both technical and strategic aspects of real world evidence generation. This hands-on experience helps interns develop analytical skills and a better understanding of how real world data informs healthcare decisions.

What is the difference between Real World Evidence Intern vs Clinical Data Analyst Intern?

AspectReal World Evidence InternClinical Data Analyst Intern
Required CredentialsTypically pursuing or holding a degree in public health, epidemiology, or related fieldsUsually enrolled in or graduated from health informatics, biostatistics, or related programs
Work EnvironmentPharmaceutical companies, healthcare organizations, or research institutions focusing on real-world dataHospitals, clinical research organizations, or pharmaceutical companies analyzing clinical trial data
Employer & Industry UsageUsed in health outcomes research, observational studies, and post-market surveillanceUsed in clinical trial data management, data cleaning, and statistical analysis

The main difference between a Real World Evidence Intern and a Clinical Data Analyst Intern lies in their focus areas. The former concentrates on analyzing real-world data from healthcare settings to inform decision-making, while the latter primarily handles clinical trial data to support research and regulatory submissions. Both roles require strong analytical skills and familiarity with health data, but their specific tasks and data sources differ.

What are the most commonly searched types of Real World Evidence jobs in Arizona?

The most popular types of Real World Evidence jobs in Arizona are:

Infographic showing various Real World Evidence Intern job openings in Arizona as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Senior Scientist, Claims and Real-World Data

Caris Life Sciences

Tempe, AZ • On-site

Full-time

Posted 8 days ago


Job description

At Caris, we understand that cancer is an ugly word-a word no one wants to hear, but one that connects us all. That's why we're not just transforming cancer care-we're changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day:"What would I do if this patient were my mom?"That question drives everything we do.

But our mission doesn't stop with cancer. We're pushing the frontiers of medicine and leading a revolution in healthcare-driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

Position Summary
The Senior Scientist, Claims and Real-World Data is a Senior-level individual contributor and the subject-matter expert behind high-quality claims-derived data products. This role designs and continually improves the transformation, harmonization, and quality control that turn raw administrative claims into reliable, research-ready real-world data linked to molecular information. It is a chance to own a scientifically rigorous data asset from end to end and to build claims data that researchers and partners trust and rely on.
Job Responsibilities

  • Own the design, transformation logic, and quality control of claims-derived data products, such as demographics, diagnoses, procedures, drugs, radiation, and mortality, ensuring fitness for purpose, traceability, and auditability.
  • Define and document claims phenotyping, line-of-therapy, treatment-episode, and outcome derivations using standardized, versioned logic.
  • Validate claims-to-molecular linkage and tokenization logic, partnering with privacy and legal teams to ensure compliant linkage and data sharing.
  • Establish quality assurance and quality control frameworks and a maintained data dictionary, emphasizing proactive, reproducible validation.
  • Serve as the claims subject-matter expert in technical discussions with partners and prospective customers.
  • Support analytics and feasibility deliverables that demonstrate the value of combined claims and molecular data.
  • Partner with clinical and data product teams to harmonize claims with electronic medical record and pathology sources.
  • Contribute to customer education, training, and documentation for real-world data.


Required Qualifications

  • Advanced degree (PhD, MSc, or MPH) in epidemiology, biostatistics, health economics and outcomes research, health informatics, or a related field; or equivalent demonstrable experience.
  • 5+ years working hands-on with administrative claims data (for example, medical and pharmacy claims, open and closed claims) in a real-world evidence or healthcare analytics setting.
  • Demonstrated expertise building claims-derived variables, including line of therapy, treatment episodes, comorbidity indices, and outcome and mortality endpoints.
  • Experience with claims-to-clinical or claims-to-molecular linkage, tokenization, and HIPAA-compliant data handling.
  • Strong programming skills (SQL and Python or R) and a rigorous data quality-control discipline.
  • Strong communication skills for technical discussions with partners and customers.
  • Proficient in Microsoft Office Suite, specifically Word, Excel, Outlook, and general working knowledge of Internet for business use.


Preferred Qualifications

  • Oncology real-world-evidence experience, and familiarity with electronic medical record and molecular diagnostics data.
  • Familiarity with de-identification and expert determination, data governance, and dataset versioning.
  • Experience supporting data partnerships or real-world evidence study delivery.


Physical Demands

  • Will work at a computer most of the time, with some time spent collaborating with colleagues, partners, and business leaders, either in person or through remote conferencing.
  • Visual acuity and analytical skill to distinguish fine detail.
  • Must possess the ability to sit and/or stand for long periods of time.


Training

  • All job-specific, safety, and compliance training is assigned based on the job functions associated with this employee.


Other

  • This position requires periodic work-related travel (up to 20%) and some evenings, weekends and/or holidays.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check( applicable for certain positions) and reference verification.

This job description reflects management's assignment of essential functions. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities to this job at any time.

Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.