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Real World Evidence Jobs (NOW HIRING)

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 ...

The ideal candidate is comfortable leading complex, multi-stakeholder sales cycles and brings deep expertise in real-world data, evidence platforms, and outcomes research. Responsibilities of the ...

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 ...

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 ...

In this role, the Director, Global Real-World Evidence will drive the development and execution of industry-leading RWE strategies and evidence generation across the J&J Global Commercial Strategy ...

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Real World Evidence information

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$22K

$43.3K

$61.5K

How much do real world evidence jobs pay per year?

As of Jun 10, 2026, the average yearly pay for real world evidence in the United States is $43,297.00, according to ZipRecruiter salary data. Most workers in this role earn between $36,000.00 and $48,000.00 per year, depending on experience, location, and employer.

What is a Real World Evidence job?

A Real World Evidence (RWE) job involves analyzing data from real-world sources, such as electronic health records, claims databases, and patient registries, to generate insights on the safety, effectiveness, and value of medical treatments. Professionals in this field work with biopharmaceutical companies, healthcare organizations, and regulatory agencies to support clinical decision-making, policy development, and market access strategies. Roles often require expertise in epidemiology, biostatistics, and data analytics, along with knowledge of healthcare systems and regulatory frameworks.

What are the key skills and qualifications needed to thrive in the Real World Evidence position, and why are they important?

To thrive in Real World Evidence roles, you need a strong background in epidemiology, biostatistics, and data analysis, typically supported by an advanced degree in a relevant scientific or health field. Familiarity with data analytics tools (such as SAS, R, or SQL), real-world data sources (like electronic health records and claims databases), and knowledge of regulatory guidelines are highly valued. Exceptional communication, critical thinking, and problem-solving abilities help in translating complex data into actionable health insights and working effectively with diverse teams. These competencies are crucial for generating, interpreting, and delivering real-world evidence that informs healthcare decision-making and supports regulatory submissions.

What are the typical responsibilities of someone working in a Real World Evidence role?

Professionals in Real World Evidence (RWE) roles are responsible for designing, executing, and analyzing studies using real-world health data to generate insights that inform medical, regulatory, and market access decisions. Their day-to-day tasks often include data management, statistical analysis, collaborating with cross-functional teams (such as clinical, regulatory, and medical affairs), and communicating findings through reports or presentations. They may also be involved in developing protocols, working with external partners or data vendors, and ensuring research complies with ethical and regulatory standards. This dynamic role requires balancing analytical work with collaboration and communication across multiple stakeholders.

More about Real World Evidence jobs
What cities are hiring for Real World Evidence jobs? Cities with the most 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 Real World Evidence jobs? States with the most job openings for Real World Evidence jobs include:
Infographic showing various Real World Evidence job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 65% Full Time, 29% Part Time, and 5% Contract. Highlights an 79% Physical, 2% Hybrid, and 19% Remote job distribution, with an average salary of $43,297 per year, or $20.8 per hour.
HEOR Intern, Real-World Evidence

$20/hr

Internship

Posted 4 days ago


Job description

Essential duties include but are not limited to:
Help streamline internal processes - work directly with the Precision leadership to improve processes and efficiency; investigate optimal research techniques and implementation strategies; update existing tools and documentation to increase adherence to best practices; support development and refinement of interactive tools that use existing real-world evidence analyses.
Support ongoing research projects - assist with literature reviews on diverse healthcare topics; help with real-world evidence studies including protocol development, data programming, and results; develop interactive summaries of real-world evidence analyses; help interpret and communicate quantitative and qualitative findings to internal and external audiences; contribute to reports, results tables, presentations or peer-reviewed manuscripts; participate in client-facing activities; provide administrative project support.
Qualifications
Required:
  • Enrolled in a public health (epidemiology, biostatistics, bioinformatics), economics, data science, life sciences, or healthcare related undergraduate, or preferably, graduate program at an academic institution at the time of recruitment.

Other required:
  • Proven interest in public health, life sciences, or pharmaceutical research and analytics
  • Research experience in epidemiology, public health, health services research, health policy, economics or related fields
  • Foundational knowledge of epidemiologic concepts such as observational study designs, measures of association, and common sources sources of bias and confounding
  • Familiarity / competency with statistical programming tool such as R, SQL, SAS or similar platform
  • Ability to work effectively both individually and as part of a team
  • Detail oriented with exceptional interpersonal and time management skills
  • Keen interest in learning and sharing knowledge
  • Strong academic record
  • Proficiency with Microsoft Office

Preferred:
  • Enrolled in life sciences related advanced degree program
  • Strong understanding of the scientific method; formal training in quantitative methodologies
  • Familiarity with interactive data visualization tools such as R Shiny, Power BI, Tableau, or equivalent platforms
  • Familiarity with working in virtual AWS environment, Git, and Github

Precision is required by law in some states or cities to include a reasonable estimate of the compensation range for this role. This compensation range takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.
Reasonable estimate of the current range
$20- $20 USD
It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.