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Associate Real World Evidence Jobs (NOW HIRING)

Our Real World Evidence team is hiring a Director to lead teams of research professionals conducting client studies in the pharmacy and biotech space; operating as a thought leader, problem solver ...

Who we are looking for This is what you will do We are seeking a motivated and detail-oriented contractor to support real-world evidence (RWE) research efforts. This role is well-suited for recent ...

Our Real World Evidence team is hiring a Director to lead teams of research professionals conducting client studies in the pharmacy and biotech space; operating as a thought leader, problem solver ...

Our Real World Evidence team is hiring a Director to lead teams of research professionals conducting client studies in the pharmacy and biotech space; operating as a thought leader, problem solver ...

Who we are looking for This is what you will do We are seeking a motivated and detail-oriented contractor to support real-world evidence (RWE) research efforts. This role is well-suited for recent ...

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Associate Real World Evidence information

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$35.5K

$134.2K

$268.5K

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

As of Jul 24, 2026, the average yearly pay for associate real world evidence in the United States is $134,221.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $169,500.00 per year, depending on experience, location, and employer.

How does an Associate Real World Evidence professional typically collaborate with cross-functional teams in pharmaceutical research?

As an Associate Real World Evidence (RWE) professional, you will frequently collaborate with colleagues from biostatistics, epidemiology, medical affairs, and regulatory affairs to design and execute studies using real-world data. Your role often involves translating scientific objectives into actionable study protocols, ensuring data integrity, and communicating findings to both technical and non-technical stakeholders. Effective teamwork and clear communication are crucial, as you'll contribute insights that help inform product development, regulatory submissions, and market access strategies.

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

AspectAssociate Real World EvidenceClinical Data Analyst
Required CredentialsBachelor's degree in life sciences, healthcare, or related field; knowledge of RWE conceptsBachelor's degree in health informatics, statistics, or related field; proficiency in data analysis tools
Work EnvironmentPharmaceutical or healthcare companies, research organizationsHospitals, research institutions, healthcare analytics firms
Employer & Industry UsageUsed in pharmaceutical R&D, post-market studies, health outcomes researchUsed in clinical research, data management, and healthcare analytics

The Associate Real World Evidence role focuses on analyzing real-world data to support healthcare decisions, often within pharmaceutical companies. In contrast, Clinical Data Analysts primarily handle clinical trial data and statistical analysis. While both roles require strong analytical skills and related credentials, their focus areas and work environments differ, with RWE roles emphasizing observational data and post-market insights.

What is an Associate Real World Evidence?

An Associate Real World Evidence (RWE) professional supports the design, execution, and analysis of studies that use real-world data—such as electronic health records, insurance claims, and patient registries—to generate insights about healthcare outcomes, treatment effectiveness, and patient populations. These professionals typically work in pharmaceutical companies, research organizations, or healthcare consultancies. Their work helps guide clinical development, regulatory decisions, and health policy by providing evidence beyond traditional clinical trials. Associates often assist with data collection, statistical analysis, literature reviews, and report writing under the direction of more senior RWE scientists.

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

To thrive as an Associate Real World Evidence, a strong background in epidemiology, biostatistics, or related health sciences with at least a bachelor’s or master’s degree is essential. Familiarity with statistical analysis software such as SAS or R, database management systems, and experience with healthcare or claims data are typically required. Excellent analytical thinking, attention to detail, and strong communication skills help translate complex data into actionable insights. These skills are vital for generating credible, data-driven evidence that informs healthcare decisions and supports regulatory submissions.
More about Associate Real World Evidence jobs
What cities are hiring for Associate Real World Evidence jobs? Cities with the most Associate Real World Evidence job openings:
What are the most commonly searched types of Real World Evidence jobs? The most popular types of Real World Evidence jobs are:
What states have the most Associate Real World Evidence jobs? States with the most job openings for Associate Real World Evidence jobs include:
Infographic showing various Associate Real World Evidence job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 69% Full Time, 28% Part Time, 1% Temporary, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $134,221 per year, or $64.5 per hour.
Real World Evidence Lead

Full-time

Posted yesterday


BioMarin Pharmaceutical rating

8.3

Company rating: 8.3 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

20th of 74 rated pharmaceutical


Job description

Who We Are
BioMarin is a leading rare disease biotechnology company focused on genetically defined conditions.
Guided by our purpose to develop medicines that make a profound impact on people's lives, our global teams have delivered a portfolio of therapies since our founding in 1997. Our revolutionary treatments for conditions like achondroplasia (the most common form of dwarfism), PKU (phenylketonuria), CLN2, a form of Batten disease, and a number of forms of MPS (mucopolysaccharidosis) offer new possibilities for patients and families who previously had few, if any, available options. More recently, with the close of the Amicus acquisition, our portfolio has expanded to include therapies for Fabry disease and Pompe disease, expanding our ability to reach more people living with rare genetic conditions.
Our success comes from our unwavering commitment to excellence, our deep understanding of patient needs, our scientific expertise, and our world-class manufacturing capabilities. At the heart of BioMarin is a dedicated team of the brightest minds in the industry working together to deliver innovative therapies to patients and families around the world.
About Worldwide Research and Development
From research and discovery to post-market clinical development, our R&D engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with rare diseases.

The Real World Evidence Leads are part of the Integrated Evidence function comprised of subject matter experts in evidence planning, observational study design and data interpretation. The function works to drive excellence in evidence planning and implement novel study design approaches to generate robust evidence to enhance understanding of unmet medical need, support patient and endpoint selection for clinical studies and inform medical practice on appropriate use and long-term safety and effectiveness of BioMarin products to drive clinical adoption.

Key Responsibilities

For one or more assigned programs or therapy areas, the Real World Evidence Lead (Director) is accountable for:

  • Setting and leading the strategy of for real-world/observational evidence generation across assigned program(s) or therapy area(s), aligning to the Integrated Evidence Plan and key value, access, and regulatory decision points
  • Leading implementation of real-world evidence studies in-line with a product's Integrated Evidence Plan. Key activities include:
  • Lead protocol development and reporting for disease understanding studies (retrospective and prospective), ensuring fit-for-purpose design to characterize target populations (risk factors, natural history, burden of illness, treatment patterns, comorbidities/comedications, outcomes, and unmet need) and to inform program decisions
  • Lead the post-marketing evidence strategy and delivery (including safety/effectiveness studies and registries), overseeing evaluation of risk mitigation strategies and ensuring alignment to risk management plans and real-world regulatory commitments
  • Establish and lead implementation of research plans with external collaborators (CROs, academia, data partners), working effectively to oversee external groups through the research process to ensure delivery of high-quality outputs
  • Define and oversee secondary data analysis strategy using BioMarin clinical and real-world data, ensuring analytic rigor and interpretation that directly supports program strategy and evidence gaps
  • Lead interpretation and synthesis of real-world evidence to deliver clear implications and recommendations for internal governance and senior stakeholders, and drive external scientific dissemination (manuscripts, abstracts, posters, presentations) consistent with publication strategy
  • Serve as a strategic evidence partner to Commercial, Market Access, and Regulatory, ensuring real-world evidence is appropriately reflected in forecasts, value narratives, and key regulatory deliverables (e.g., Orphan Drug Designation applications and regulatory strategy documents)

Desired Experience

A combination of academic training and practical experience in Epidemiology is required. This may consist of:

  • Doctoral degree (PhD, ScD, or DrPH) or Master's of Public Health in Epidemiology/Pharmacoepidemiology and at least 8 years of experience leading epidemiologic research in the pharmaceutical industry
  • Doctoral degree (PhD, ScD or DrPH) or Master's degree in a relevant discipline (ie. Health services research, health outcomes research, public health, statistics, or pharmaceutical sciences) with at least 10 years of experience leading epidemiologic research in the pharmaceutical setting

Skills:

  • Demonstrated leadership in pharmacoepidemiologic and real-world evidence research within (or in support of) the pharmaceutical/biotechnology industry, with accountability for study strategy and delivery
  • Proven ability to translate integrated evidence strategy into executable study concepts and protocol portfolios, ensuring alignment to program priorities and measurable decision needs
  • Extensive experience authoring and/or providing final scientific accountability for protocol concept documents, study protocols, statistical analysis plans, and study reports (including directing contributions from matrix partners and vendors)
  • Deep expertise in observational study design and advanced analytic methods, with strong grasp of bias/confounding mitigation, data quality assessment, and fit-for-purpose inference
  • Strong understanding of healthcare data ecosystems and standards (e.g., HL7, FHIR), clinical terminologies (e.g., ICD-10), EMR/claims data, and data governance/privacy requirements (e.g., GDPR, HIPAA)
  • Demonstrated capability to lead high-stakes engagement with regulators and ethics bodies (e.g., HA queries, IRB/EC questions), shaping responses that protect scientific integrity, timelines, and program objectives
  • Ability to set priorities and drive delivery in a business-driven, matrix environment-balancing multiple workstreams through strong planning, stakeholder management, risk management, and operational discipline
  • Proven ability to build credibility and influence at all levels (including senior leadership), with the ability to translate complex evidence into clear implications and recommendations for internal decision-making and external scientific dissemination
  • Experience in rare disease epidemiology and/or genetic epidemiology, including working with small populations, registries, and novel endpoints (preferred)

Note: This description is not intended to be all-inclusive, or a limitation of the duties of the position. It is intended to describe the general nature of the job that may include other duties as assumed or assigned.
Equal Opportunity Employer/Veterans/Disabled
An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.

Employment Type: Fulltime-Regular

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