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Real World Evidence Rwe Jobs in Elmhurst, IL (NOW HIRING)

BioLink 360

Data Scientist

Chicago, IL · On-site

$110K - $140K/yr

This is an opportunity to work with real-world evidence (RWE), health economics and outcomes research (HEOR), market access, and healthcare analytics while supporting leading pharmaceutical ...

Tempus

Data Scientist II, Outcomes Research

Chicago, IL · On-site +1

$100K - $150K/yr

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.

Caresyntax

Key Account Director

Chicago, IL · Remote

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

Data Scientist II, Outcomes Research

Chicago, IL · On-site

$100K - $150K/yr

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.

Caresyntax

Key Account Director

Chicago, IL · On-site +1

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 ...

Medela

Manager, Medical Affairs Operations

Chicago, IL · On-site +1

$130K/yr

Coordinate real-world evidence (RWE) initiatives and feasibility studies across healthcare customer sites * Track program outcomes, intervention effectiveness, quality improvement metrics, and ...

Tempus AI, Inc.

VP, Data Strategy & GTM

Chicago, IL · On-site

$235 - $325/hr

Deep familiarity with the biopharma ecosystem, particularly regarding real-world evidence (RWE), clinical trials, or precision medicine applications. Pay Range: $235,000 - $325,000. The expected ...

New

Tempus

VP, Data Strategy & GTM

Chicago, IL · On-site

$235K - $325K/yr

Deep familiarity with the biopharma ecosystem, particularly regarding real-world evidence (RWE), clinical trials, or precision medicine applications. Pay Range: $235,000 - $325,000 The expected ...

Tempus

VP, Data Strategy & GTM

Chicago, IL · On-site

$235K - $325K/yr

Deep familiarity with the biopharma ecosystem, particularly regarding real-world evidence (RWE), clinical trials, or precision medicine applications. Pay Range: $235,000 - $325,000 The expected ...

Tempus, Inc.

VP, Data Strategy & GTM

Chicago, IL · On-site

$235 - $325/hr

Deep familiarity with the biopharma ecosystem, particularly regarding real-world evidence (RWE), clinical trials, or precision medicine applications.****Pay Range:**** $235,000 - $325,000The expected ...

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All JobsReal World Evidence Rwe JobsReal World Evidence Rwe Jobs in Elmhurst, IL

Real World Evidence Rwe information

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

AspectReal World Evidence RweClinical Data Analyst
Required credentialsTypically requires a background in healthcare, epidemiology, or biostatistics, often with a master's or PhDUsually requires a degree in health informatics, biostatistics, or related fields, with similar certifications
Work environmentPrimarily in healthcare, pharmaceutical, or research organizations analyzing real-world dataIn clinical research settings, hospitals, or pharmaceutical companies analyzing clinical trial data
Employer and industry usageUsed by pharma companies, healthcare providers, and research institutions to generate real-world insightsUsed by research organizations, hospitals, and pharma for clinical trial data management and analysis

Real World Evidence Rwe professionals focus on analyzing data from real-world settings like electronic health records and insurance claims, while Clinical Data Analysts primarily work with clinical trial data. Both roles require strong analytical skills and related credentials, but Rwe specialists emphasize real-world data sources to inform healthcare decisions.

What is real world evidence (RWE)?

Real World Evidence (RWE) refers to clinical evidence regarding the usage and potential benefits or risks of a medical product, derived from analysis of real-world data (RWD). This data is collected from sources outside of traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. RWE plays a crucial role in understanding how treatments work in routine clinical practice, informing regulatory decisions, and supporting drug development and market access. Organizations use RWE to complement clinical trial data, improving healthcare outcomes and patient care.

What are the key skills and qualifications needed to thrive as a real world evidence (RWE) professional?

To thrive as a Real World Evidence (RWE) professional, you need a strong background in epidemiology, biostatistics, and data analysis, often supported by an advanced degree in a relevant scientific field. Familiarity with statistical software (such as SAS, R, or Python), real-world data sources (like EHRs and claims databases), and regulatory guidelines (FDA/EMA) is essential. Strong communication, problem-solving, and cross-functional collaboration skills help convey complex findings to stakeholders and integrate RWE into decision-making. These competencies are crucial for generating credible insights that inform clinical, regulatory, and commercial strategies in the healthcare industry.

How does a real world evidence (RWE) professional collaborate with cross-functional teams?

RWE professionals often work closely with colleagues from epidemiology, health economics, medical affairs, and regulatory affairs to design and execute studies using real-world data. Collaboration is essential, as RWE findings support evidence generation for regulatory submissions, market access, and post-marketing surveillance. Regular meetings, data-sharing sessions, and joint project planning are common, ensuring all stakeholders are aligned on study objectives, methodologies, and data interpretation. This collaborative environment helps translate complex data into actionable insights that support decision-making across the organization.
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What job categories do people searching Real World Evidence Rwe jobs in Elmhurst, IL look for? The top searched job categories for Real World Evidence Rwe jobs in Elmhurst, IL are:
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Real World Evidence Rwe jobs near you
Infographic showing various Real World Evidence Rwe job openings in Elmhurst, IL as of August 2026, with employment types broken down into 36% Full Time, and 64% Contract. Highlights an 80% In-person, and 20% Remote job distribution.

Data Scientist

BioLink 360

Chicago, IL • On-site

$110K - $140K/yr

Other

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

Job description

Position Reports To: VP of Data Science

Salary Range: $110K to $140K

Location: Remote Based (U.S.)


Data Scientist I/II


BioLink360 is partnering with a rapidly growing healthcare consulting organization to identify a Data Scientist to join its Strategic Analytics, Value & Economics team. We're recruiting Data Scientists who can turn Medicare, Medicaid, and RWE data into evidence that actually moves the needle, informing market access, pricing, and reimbursement strategy for therapies trying to reach patients who need them.


This is an opportunity to work with real-world evidence (RWE), health economics and outcomes research (HEOR), market access, and healthcare analytics while supporting leading pharmaceutical, biotechnology, diagnostics, and medical technology companies. You'll help generate evidence that informs reimbursement strategy, payer decision-making, health policy, and patient access to innovative therapies.


Position Overview

This isn't a generic claims-crunching role. You'll be embedded with consultants, economists, and policy experts, designing and executing advanced healthcare claims analyses and observational research studies using Medicare, Medicaid, commercial claims, electronic health records, and other real-world data sources. You'll translate dense CCW, VRDC, SAF, RIF, or T-MSIS data into insights that shape real decisions, the kind that determine whether a therapy gets covered, priced right, and gets to market.


It's high-impact work with direct influence on healthcare decision-making, alongside recognized experts across analytics, health economics, market access, and healthcare policy, in a collaborative, growth-oriented environment.


Key Responsibilities

  • Design and execute modeling for Medicare, Medicaid, commercial claims, EHR, and other healthcare datasets.
  • MUST have experience with pharmacy data.
  • Analyze treatment patterns, healthcare costs, utilization, and clinical outcomes to generate real-world evidence.
  • Develop scalable analytical programs using SAS, SQL, R, and/or Python.
  • Build high-quality client deliverables including executive presentations, technical reports, dashboards, and analytical summaries.
  • Translate complex analyses into actionable business insights for life sciences clients.
  • Collaborate with multidisciplinary consulting teams supporting market access, reimbursement, pricing strategy, and healthcare policy engagements.
  • Ensure analytical quality through rigorous programming validation, documentation, and quality assurance processes.


Qualifications

  • Bachelors degree in Computer Science, Data Science, Biostatistics, Epidemiology, Public Health, Health Economics, or another quantitative discipline.
  • Real, hands-on PDE data experience
  • 1+ years of professional experience using SAS.
  • 2+ years of experience conducting healthcare analytics, HEOR, RWE, or observational research.
  • Knowledge of Medicare and Medicaid reimbursement and healthcare policy.
  • Experience with CMS Chronic Conditions Warehouse (CCW), Virtual Research Data Center (VRDC), or Medicaid T-MSIS data.

Apply