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Vice President Real World Evidence Rwe Jobs in Elgin, IL

BioLink 360

Data Scientist

Chicago, IL · On-site

$110K - $140K/yr

Position Reports To : VP of Data Science Salary Range : $110K to $140K Location : Remote Based (U.S ... This is an opportunity to work with real-world evidence (RWE), health economics and outcomes ...

Verano

VP, Real Estate

Chicago, IL · On-site

The Vice President, Real Estate, based out of Verano's Chicago corporate office, will lead the administration, growth, and day-to-day management of Verano's real estate portfolio and transactions ...

New

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 ...

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 ...

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.

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.

Medela

Manager, Medical Affairs Operations

Mchenry, IL · On-site

$117 - $143/hr

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

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Vice President Real World Evidence Rwe information

See Elgin, IL salary details

$43K

$155.7K

$274.3K

How much do vice president real world evidence rwe jobs pay per year?

As of Aug 27, 2026, the average yearly pay for vice president real world evidence rwe in Elgin, IL is $155,722.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,700.00 and $187,800.00 per year, depending on experience, location, and employer.

What is the difference between Vice President Real World Evidence Rwe vs Director Real World Evidence Rwe?

AspectVice President Real World Evidence RweDirector Real World Evidence Rwe
CredentialsAdvanced degrees (PhD, MD, or equivalent), extensive experience in RWEMaster's or PhD, relevant industry experience
Work EnvironmentStrategic leadership, cross-functional oversightOperational management, project execution
Industry UsageExecutive-level RWE strategy roles in pharma/biotechMid-level RWE project management roles

The Vice President Real World Evidence Rwe typically holds a senior leadership role, focusing on strategic RWE initiatives and overseeing teams, while the Director Real World Evidence Rwe manages day-to-day RWE projects and teams. Both roles require relevant credentials and industry experience, but differ mainly in scope and responsibility.

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Vice President Real World Evidence Rwe jobs near you
Infographic showing various Vice President Real World Evidence Rwe job openings in Elgin, IL as of July 2026, with employment types broken down into 80% Full Time, 16% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $155,722 per year, or $74.9 per hour.

Data Scientist

BioLink 360

Chicago, IL • On-site

$110K - $140K/yr

Other

Posted 24 days ago

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.

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