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Internship Real World Evidence Rwe Jobs in Park Ridge, IL

Tempus

Senior Computational Biologist I

Chicago, IL

$115K - $175K/yr

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 ...

IQVIA

Senior Global Client Partner

Chicago, IL · Remote

... Real World Evidence, and related services. They collaborate closely with the rest of the Global ... Align the account asset strategy with RDS & RWE to ensure a joined up 'Molecule to Market ...

IQVIA

Senior Global Client Partner

Chicago, IL · Remote

... Real World Evidence, and related services. They collaborate closely with the rest of the Global ... Align the account asset strategy with RDS & RWE to ensure a joined up 'Molecule to Market ...

IQVIA, Inc.

Senior Global Client Partner

Chicago, IL · On-site

... Real World Evidence, and related services. They collaborate closely with the rest of the Global ... Align the account asset strategy with RDS & RWE to ensure a joined up 'Molecule to Market ...

AbbVie

Director, HEOR Strategy - Oncology

Mettawa, IL · On-site

... RWE, EPE, MPS) and is accountable for project execution, budget and meeting/exceeding ethical ... and real-world evidence, with strong experience in registry and observational study design ...

AbbVie

Director, HEOR Strategy - Oncology

Mettawa, IL · On-site

... RWE, EPE, MPS) and is accountable for project execution, budget and meeting/exceeding ethical ... and real-world evidence, with strong experience in registry and observational study design ...

AbbVie

Director, HEOR Strategy - Oncology

Mettawa, IL · On-site

$182K/yr

... RWE, EPE, MPS) and is accountable for project execution, budget and meeting/exceeding ethical ... and real-world evidence, with strong experience in registry and observational study design ...

Tempus

Senior Scientist R&D

Chicago, IL · On-site

$94K - $135K/yr

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

Senior Scientist R&D

Chicago, IL · On-site

$94K - $135K/yr

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

Senior Alliance Manager

Chicago, IL · On-site

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

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

As of Jul 14, 2026, the average hourly pay for internship real world evidence rwe in Park Ridge, IL is $15.30, according to ZipRecruiter salary data. Most workers in this role earn between $12.31 and $17.26 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 Park Ridge, IL? For Internship Real World Evidence Rwe jobs in Park Ridge, IL, the most frequently searched job titles are:
What job categories do people searching Internship Real World Evidence Rwe jobs in Park Ridge, IL look for? The top searched job categories for Internship Real World Evidence Rwe jobs in Park Ridge, IL are:
What cities near Park Ridge, IL are hiring for Internship Real World Evidence Rwe jobs? Cities near Park Ridge, IL with the most Internship Real World Evidence Rwe job openings:
Internship Real World Evidence Rwe jobs near you
Senior Computational Biologist I

Senior Computational Biologist I

Tempus

Chicago, IL

$115K - $175K/yr

Full-time

Posted 27 days ago

Job description

Passionate about precision medicine and advancing the healthcare industry?

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way. 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 the right patients, at the right time.

We are looking for a highly analytical, self-motivated and solution-oriented scientist with a strong background in analyzing large-scale, multi-omic molecular and real-world clinical datasets to join our Discover Data Science team supporting Medical Affairs. In this role, you will work directly with the Tempus Medical Sciences Team and oncology research leaders to understand their goals and translate their scientific questions into insight generation. Your work will directly enhance Tempus' research capabilities and empower our teams and partners to generate actionable insights for patient care.

Responsibilities:

  • Lead and contribute to research projects in support of research initiatives within R&D and Medical Affairs, leveraging large-scale real-world clinical and multi-omic molecular data.

  • Present insights from research studies to external research partners through formal presentations and communicate research findings effectively.

  • Stay updated on methodological advancements in real-world studies, next generation sequencing (DNA/RNA) and oncology guidelines.

  • Communicate analytical results, and scientific findings clearly to audiences with varying levels of technical and genomics expertise.

  • Participate in publications and podium activities.

Required Experience:

  • 3+ years experience in industry or academia, following completion of PhD degree in quantitative NGS-related disciplines (e.g. Computational Biology, Genetics, or similar). Alternatively, a PhD in computational biology with a strong record of multi-omic, high-throughput sequencing data analysis

  • Computational skills using R and SQL, especially relevant statistical tools and packages.

  • Experience deriving oncology-specific clinical insights using genomic data and deriving real-world endpoints using time-to-event methodologies within a retrospective database.

  • Excellent project management skills, with proven ability to collaborate with teams of multi-disciplinary scientists to define and execute analysis plans to address scientific questions using omics datasets (genomics, transcriptomics).

  • Thrive in a fast-paced environment and willing to shift priorities seamlessly

  • A collaborative mindset, coupled with a genuine eagerness to learn and a steadfast dedication to maintaining integrity in all endeavors.

Nice to have:

  • Experience integrating molecular data with real-world evidence and longitudinal clinical outcomes.

  • Experience with AWS and/or Bigquery and/or Google Cloud Platform (GCP)

  • Proficiency in machine learning techniques, with a nuanced understanding of the strengths and limitations of various approaches, particularly regarding predictive and prognostic algorithms in medical research.

CHI: $100,000-$160,000 USD
NYC: $115,000-$175,000 USD

The expected salary range above is applicable if the role is performed from Illinois and may vary for other locations (California, Colorado, New York). Actual salary may vary based on qualifications and experience. Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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