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Real World Evidence Statistician Jobs (NOW HIRING)

Real World Evidence/HEOR Contractor Cambridge, MA Amylyx has an audacious mission to usher in a new ... Draft/review project specifications, protocols, statistical analysis plans, study reports ...

Demonstrate fluency in advanced statistical methodologies and emerging approaches in RWE research ... Evidence Generation, Real World Evidence (RWE) Preferred Skills: Business Savvy, Critical Thinking ...

The Director of Real-World Evidence (RWE) will provide (scientific/strategic/tactical/etc ... Support the Head of Head of Medical Affairs Statistics, Epidemiology and RWE in developing and ...

Our Real World Evidence team is hiring a Director to lead teams of research professionals ... You will review and sign off on deliverables as client ready including protocols, statistical ...

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Real World Evidence Statistician information

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$50.5K

$86.9K

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How much do real world evidence statistician jobs pay per year?

As of May 28, 2026, the average yearly pay for real world evidence statistician in the United States is $86,921.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,500.00 and $98,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Real World Evidence Statistician, and why are they important?

To thrive as a Real World Evidence Statistician, you need a strong background in statistics, epidemiology, and data analysis, usually supported by an advanced degree in statistics, biostatistics, or a related field. Proficiency with statistical software such as SAS, R, or Python, as well as experience working with large healthcare datasets and understanding of regulatory guidelines, is crucial. Strong problem-solving, communication, and collaboration skills help translate complex analyses into actionable insights for multidisciplinary teams. These skills ensure the generation of robust, real-world data insights that inform healthcare decisions and support regulatory and clinical objectives.

How does a Real World Evidence Statistician collaborate with cross-functional teams in healthcare research projects?

A Real World Evidence Statistician frequently works alongside epidemiologists, data scientists, clinicians, and regulatory professionals to design studies, analyze real-world data, and interpret findings. Collaboration typically involves participating in study planning meetings, discussing statistical methodologies, reviewing data quality, and ensuring that analyses meet regulatory and scientific standards. This teamwork is crucial for translating complex data into actionable insights for healthcare decision-making and regulatory submissions. Strong communication skills and adaptability are essential, as projects often require aligning diverse perspectives and expertise.

What is a Real World Evidence Statistician?

A Real World Evidence (RWE) Statistician is a professional who designs, analyzes, and interprets data from real-world sources, such as electronic health records, insurance claims, and patient registries, to inform healthcare decisions. They use advanced statistical methods to generate evidence about the effectiveness, safety, and value of medical treatments outside of controlled clinical trials. Their work helps pharmaceutical companies, healthcare providers, and regulatory agencies make data-driven decisions to improve patient outcomes.

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

AspectReal World Evidence StatisticianClinical Data Analyst
Required CredentialsMaster's in Biostatistics, Epidemiology, or related field; statistical certificationsBachelor's or Master's in Data Science, Biostatistics, or related field; some certifications
Work EnvironmentPharmaceutical companies, healthcare organizations, research institutionsHospitals, clinical research organizations, healthcare providers
Industry UsageAnalyzing real-world data for drug safety, effectiveness, and health outcomesManaging clinical trial data, generating reports, supporting research studies

The Real World Evidence Statistician specializes in analyzing real-world healthcare data to inform medical decisions and policy, while the Clinical Data Analyst focuses on managing and interpreting clinical trial data. Both roles require strong statistical skills and relevant credentials, but they serve different aspects of healthcare research and data analysis.

More about Real World Evidence Statistician jobs
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What states have the most Real World Evidence Statistician jobs? States with the most job openings for Real World Evidence Statistician jobs include:
What job categories do people searching Real World Evidence Statistician jobs look for? The top searched job categories for Real World Evidence Statistician jobs are:
Real World Evidence/HEOR Contractor

Real World Evidence/HEOR Contractor

Amylyx Pharmaceuticals

Cambridge, MA โ€ข Remote

Other

Posted 19 days ago


Job description

The Opportunity

This Real World Evidence (RWE)/Health Economics (HEOR) Contractor role supports the RWE/HEOR Senior Director in leading RWE execution for pipeline assets. The role is fun and flexible with a mix of both study execution and data analytics. This person will be accountable for developing and delivering components of the evidence generation plan (including RWE and economic value evidence), and driving high-quality deliverables that inform internal decision-making during product development, pre-launch readiness, and lifecycle planning. The role is anchored to 1-2 priority pipeline assets/indications.

This is a remote role based with flexible hours. We are currently seeking an individual with 20-30 hours of weekly availability with potential to increase hours in late 2026/2027.

Responsibilities

  • Evidence strategy and planning: Maintain US RWE & HEOR plans for 1-2 priority pipeline assets/indications, aligned to US medical, payer, and access needs; translate strategy into actionable workplans, timelines, and resourcing proposals.
  • Study leadership (RWE/HEOR): Own day-to-day leadership for assigned real-world evidence and health outcomes studies (e.g., real-world evidence studies, cost-effectiveness/budget impact analyses, burden of illness, treatment patterns, patient-focused outcomes) includingย design and execution in partnership with internal functions and external vendors.
  • Scientific communication and quality: Draft/review project specifications, protocols, statistical analysis plans, study reports, abstracts, posters, and manuscripts; ensure adherence to SOPs and high scientific/operational quality.
  • Analytic execution and statistics: Execute ad hoc analyses in clinical trial, claims and PCOR data as needed for ad hoc and protocol/SAP driven analyses. This may include feasibility or full protocol execution.
  • Governance, compliance, and capability building: Complete required training, adhere to company/department SOPs, and contribute to continuous improvement of processes that enable efficient planning, execution, and dissemination of RWE & HEOR deliverables.

Required Qualifications

  • Master's degree or PhD in epidemiology, health economics and outcomes research, public health, biostatistics, or related discipline.
  • At least 1+ years of experience in the pharmaceutical industry and/or managed care, hospital, academic, or healthcare consulting environment with exposure to HEOR/RWE strategy and application
  • Proficiency with SAS and/or R for statistical programming. Preference for experience in clinical trials OR claims data.
  • Expertise in RWE and study designs/methods evidenced by publications and/or contributing to study concept sheets and protocols, reviewing/authoring key sections of statistical analysis plans and study reports, and ensuring publication/disclosure readiness in accordance with ICJME criteria
  • Strong communication and presentation skills, demonstrated by developing and presenting clear, decision-oriented materials (e.g., evidence strategy slides, executive readouts) and summarizing outcomes/next steps for senior audiences

Preferred Qualifications

  • Demonstrated success developing and executing health outcomes research plans and delivering high-quality data generation outputs.
  • Experience managing real-world data sources and vendors (e.g., claims, EHR, registries) and translating findings into actionable insights and value messages.
  • Demonstrated ability to influence without authority in a matrix environment, evidenced by aligning cross-functional stakeholders on objectives/trade-offs, documenting decisions, and driving actions to closure.
  • Experience in PCOR implementation and validation

Work Location and Condition

  • At Amylyx, we proudly support remote work opportunities within the United States. However, due to business considerations related to health insurance coverage and state tax regulations, we are unable to hire employees who reside and/or work in certain states. Currently, we are not considering applicants from Alaska, Arizona, Hawaii, Michigan and Tennessee.
  • You must have access to work in setting that meets all requirements of the role (including privacy, reliable internet access, phone, ability to communication via video conference, etc.) at your remote location