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Internship Real World Evidence Rwe Jobs in Park Ridge, IL

About the Role The Key Account Director will own and expand strategic partnerships with MedTech, Pharma, and industry partners engaged in Real-World Evidence (RWE) and data-driven initiatives. You'll ...

Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.

About the Role The Key Account Director will own and expand strategic partnerships with MedTech, Pharma, and industry partners engaged in Real-World Evidence (RWE) and data-driven initiatives. You'll ...

Lead and execute HEOR and real-world evidence (RWE) projects (e.g., outcomes analysis, treatment patterns, healthcare resource utilization) with external Pharma, academic, and other partners.

About the Role The Key Account Director will own and expand strategic partnerships with MedTech, Pharma, and industry partners engaged in Real-World Evidence (RWE) and data-driven initiatives. You'll ...

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real ... Associate Director RWE, PharmaR&D Locations: Boston, MA | New York City, NY | Chicago, IL Are you ...

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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 Jun 17, 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 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:
Scientific Director, Clinical and Real World Evidence

Scientific Director, Clinical and Real World Evidence

AbbVie

North Chicago, IL • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago


AbbVie rating

8.6

Company rating: 8.6 out of 10

Based on 96 frontline employees who took The Breakroom Quiz

11th of 71 rated pharmaceutical


Job description

Company Description

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.

Job Description

Job Description:

The Quantitative Insights Lab (QuIL) within the Quantitative Medicine and Genomics organization at AbbVie is seeking a Scientific Director who will lead clinical and real world evidence (RWE) strategy, execution, and innovation within AbbVie’s Quantitative Insights Lab (QuIL). This role is both a hands-on scientific contributor and a team leader, driving integration of complex human data—including multi-omics—with clinical, EHR and biobank health datasets. This position is critical for generating integrated evidence that directly informs the R&D pipeline decisions, ensuring scientific and clinical impact across AbbVie’s therapeutic areas. The incumbent will design and implement robust studies, foster data-driven decision-making through advanced analytics and AI, and advance translational research in a highly matrixed and agile environment.

Key Responsibilities:

  • Serve as scientific and technical lead for clinical and real-world evidence initiatives, contributing subject matter expertise to organizational strategy, project design, and execution.
  • Lead and enable agile, cross-functional teams for integrated data projects to inform pipeline and strategic decisions, acting as either/both an individual scientific contributor and project leader
  • Oversee the curation, design and analysis of patient cohorts that leverage clinical, multi-omic, EHR, biobank phenotypic and real-world data to generate actionable insights for drug discovery, biomarker identification, and patient stratification.
  • Collaborate closely across functions—including other RWD teams—to harmonize data workflows and methodologies and align evidence generation with pipeline needs.
  • Communicate findings and strategy effectively to internal leadership, external collaborators, and cross-functional partners.
  • Stay abreast of latest methodologies and best practices for real world data, EHR analytics, multi-omic data integration, and related AI-driven approaches.
  • Play a key role as a member of the QuIL leadership team, helping to shape QuIL’s strategic direction and supporting broader organizational initiatives.
Qualifications

Required Qualifications:

  • M.D. degree is required; board certification and clinical expertise strongly preferred.
  • At least 4 years of hands-on experience in real world evidence (RWE), electronic health record (EHR) analytics, ideally within the pharmaceutical, biotechnology, or academic research environment.
  • Demonstrated track record in designing and leading interdisciplinary clinical data science initiatives, including both hands-on scientific contribution and project management.
  • Advanced knowledge of data integration strategies and analytical methodologies for combining clinical, genomic, and real world data sources.
  • Excellent communication skills, with experience presenting scientific findings to internal and external stakeholders.
  • Familiarity in key analytics tools/languages (e.g., R, Python, SQL) is preferred but not necessary.
  • Familiarity with regulatory guidance and considerations for RWE and integrated evidence generation.

Preferred Qualifications:

  • Previous industry experience in pharmaceutical or biotechnology companies working with large-scale biobank and/or EHR datasets.
  • Strong track record of relevant scientific publications and presentations.
  • Demonstrated experience in aligning data science strategies with R&D pipeline objectives and measurable business outcomes

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at thetime of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future. ​

  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

  • This job is eligible to participate in our short-term incentive programs. ​

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of anybonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's soleand absolute discretion unless and until paid and may be modified at the Company’s sole and absolute discretion, consistent with applicable law. 

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled. 

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html


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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013