ZipRecruiter

Log In

1

Real World Evidence Rwe Jobs (NOW HIRING)

Jj

Director, Global Real-World Evidence

Raritan, NJ · On-site

Leading the development and implementation of global Real-World Evidence (RWE) strategies and ... evidence generation initiatives. * Key responsibilities include formulating research objectives ...

Jazz Pharmaceutical

Director, Real World Evidence

$204K - $306K/yr

The Director of Real-World Evidence (RWE) will provide (scientific/strategic/tactical/etc) leadership for RWE studies and analyses using administrative claims data and EMR, reporting to the Head of ...

next page

Showing results 1-20

All JobsReal World Evidence Rwe Jobs

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 the difference between RWE and real-world data?

In the context of a Real World Evidence (RWE) role, real-world data (RWD) refers to the raw data collected from sources like electronic health records, claims databases, and patient registries. RWE is the clinical evidence generated by analyzing and interpreting RWD to inform healthcare decisions, regulatory approvals, and policy making. RWD is the data input, while RWE is the meaningful insights derived from that data through analysis and research methods.

How do you get into RWE?

To enter a role in Real World Evidence (RWE), candidates typically need a background in healthcare, epidemiology, or data science, along with skills in biostatistics and familiarity with electronic health records and real-world data sources. Gaining experience through relevant internships, certifications, or advanced degrees can improve prospects. Proficiency in statistical software and understanding of regulatory requirements are also valuable.

What is Real World Evidence (RWE) in the healthcare industry?

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, and why are they important?

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 typically collaborate with cross-functional teams in the pharmaceutical industry?

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.

What are examples of real world evidence?

Real World Evidence (RWE) in the context of a role like a Real World Evidence professional involves data collected from sources outside traditional clinical trials, such as electronic health records, insurance claims, patient registries, and wearable devices. These data sources are analyzed to assess treatment effectiveness, safety, and healthcare outcomes in real-world settings, often using statistical and data management tools. RWE helps inform healthcare decisions and regulatory approvals by providing insights from diverse patient populations outside controlled environments.

What is RWE real world evidence?

Real World Evidence (RWE) is data collected from real-world settings such as electronic health records, claims data, and patient registries. In the context of a role like a Real World Evidence (RWE) professional, it involves analyzing this data to support healthcare decision-making, regulatory submissions, and clinical research using statistical tools and data management skills.
What cities are hiring for Real World Evidence Rwe jobs? Cities with the most Real World Evidence Rwe job openings:
What are the most commonly searched types of Real World Evidence Rwe jobs? The most popular types of Real World Evidence Rwe jobs are:
What states have the most Real World Evidence Rwe jobs? States with the most job openings for Real World Evidence Rwe jobs include:
What job categories do people searching Real World Evidence Rwe jobs look for? The top searched job categories for Real World Evidence Rwe jobs are:
Real World Evidence Rwe jobs near you
Real World Evidence/HEOR Contractor

Real World Evidence/HEOR Contractor

Amylyx Pharmaceuticals

Cambridge, MA • Remote

Other

This job post has expired 1 day ago. Applications are no longer accepted.

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) including 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

Apply