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Real World Evidence Pharma Jobs (NOW HIRING)

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The RWE Statistician is involved in planning, conducting and analyzing real-world evidence studies (prospective & retrospective observational study, electronic medical records, claim database ...

$180 - $240/hr

Position Overview Alzheon is seeking a Head of Real-World Evidence to build and lead the company's RWE function. This individual will define the evidence strategy that complements our clinical ...

Position Overview Alzheon is seeking a Head of Real-World Evidence to build and lead the company's RWE function. This individual will define the evidence strategy that complements our clinical ...

Leverage Real-World Data (RWD) and Real-World Evidence (RWE) analytics skills to answer questions related to retrospective evidence generation for pharmaceutical clients. * Collaborate with clients ...

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Real World Evidence Pharma information

What is real world evidence (RWE) in the pharmaceutical industry?

Real World Evidence (RWE) refers to the clinical evidence regarding the usage and potential benefits or risks of a medical product derived from analysis of real-world data (RWD). In the pharmaceutical industry, RWE is used to inform decisions about the safety, effectiveness, and value of drugs outside of traditional clinical trials, often using data from electronic health records, insurance claims, patient registries, and other sources. RWE helps pharmaceutical companies, regulators, and healthcare providers understand how treatments perform in routine clinical settings, leading to better patient outcomes and more informed regulatory and reimbursement decisions.

How does a real world evidence (RWE) professional in pharma typically collaborate with cross-functional teams during a project?

RWE professionals in the pharmaceutical industry frequently work alongside clinical, regulatory, medical affairs, and data science teams to design and execute studies using real-world data. They play a pivotal role in interpreting healthcare data, aligning research objectives with stakeholder needs, and ensuring study outputs support regulatory or commercial goals. Effective communication and project management skills are key, as RWE specialists often act as a bridge between technical data analysts and decision-makers, translating findings into actionable insights. Collaboration is usually dynamic, with regular meetings and shared project milestones across functions.

What are the key skills and qualifications needed to thrive as a real world evidence (RWE) professional in the pharmaceutical industry?

To thrive as a Real World Evidence (RWE) professional in pharma, you need expertise in epidemiology, biostatistics, and data analysis, typically supported by an advanced degree in a health-related field. Familiarity with statistical software (such as SAS or R), real-world data sources, and regulatory guidelines is crucial. Strong analytical thinking, communication, and stakeholder management skills help you translate complex data into actionable insights. These skills ensure the generation of robust evidence that informs regulatory submissions, market access, and improved patient outcomes.

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

AspectReal World Evidence PharmaClinical Data Analyst
Required CredentialsBachelor's or Master's in Life Sciences, Epidemiology, or related fields; knowledge of RWE methodologiesBachelor's or Master's in Life Sciences, Biostatistics, or related fields; proficiency in data analysis tools
Work EnvironmentPharmaceutical companies, research organizations, healthcare settingsHospitals, research institutions, pharmaceutical companies
Employer & Industry UsageUsed to generate real-world insights for drug development and post-market surveillanceUsed to analyze clinical trial data and support regulatory submissions

Real World Evidence Pharma professionals focus on analyzing real-world data to inform drug safety and effectiveness, often working with observational data outside clinical trials. Clinical Data Analysts primarily work with clinical trial data to ensure accuracy and compliance. While both roles require strong analytical skills and knowledge of data management, RWE roles emphasize understanding real-world healthcare data, whereas Clinical Data Analysts focus on clinical trial datasets.

What is real world evidence in pharma?

Real world evidence (RWE) in pharma involves collecting and analyzing data from real-world settings, such as electronic health records, insurance claims, and patient registries, to evaluate the safety, effectiveness, and value of medical products. Professionals in this field use statistical tools and data management skills to support regulatory decisions, clinical development, and market access strategies.
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Infographic showing various Real World Evidence Pharma job openings in the United States as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution.

Associate Research Scientist, Real World Evidence

Precision Medicine Group

Remote

Full-time

Posted 17 days ago


Job description

Associate Research Scientist - RWE

Are you looking to work with a dynamic team of industry leading professionals in the HEOR space? Is your passion leading Real World Evidence studies that improve healthcare outcomes worldwide? Our Real-World Evidence team is hiring an Associate Research Scientist to join our team of research professionals conducting real-world studies in the pharmaceutical and biotech space, operating as a thought leader, problem solver, and data expert.

This is a fully remote position.

About You:

  • You have experience in the conduct of real-world studies, including data feasibility assessments, developing study protocols, analytic dataset creation, data analyses, and study reports.
  • You can perform data preparation and analyses independently and are comfortable making recommendations to the client and team members on study direction.
  • You can anticipate and identify considerations relevant to the implementation of various approaches, including potential facilitators of and barriers to successful project and task execution.

About The Role:

As an Associate Research Scientist on the RWE team at Precision AQ, you will contribute to multiple projects comprised of cross-functional staff, serving as the analytics expert on the project. You will prepare and perform analyses of primary and secondary data, develop protocols and analysis plans, design RWE studies, and communicate study results internally and externally.

Required Experience:

  • Master's degree in a subject related to health services research e.g., health economics, public policy, health policy, epidemiology, biostatistics, or public health
  • Proficiency in one or more of the following programming languages: R, Python, SQL, or SAS
  • 0-2 years of relevant prior research experience, including research conducted for undergraduate or graduate programs
  • Ability to work effectively individually and as part of a diverse team

Helpful Experience:

  • Strong organizational skills, including the ability to meet deadlines and balance competing demands
  • Willingness and desire to learn and share knowledge
  • Excellent oral and written communication skills

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