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Real World Evidence Statistician Jobs (NOW HIRING)

TechData Service Company LLC

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Remote Statistician-Real World Evidence (RWE)

King Of Prussia, PA · Remote

$100K - $160K/yr

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

Datavant

Client Partner, Real-World Evidence

Objective of the Role The Client Partner, Real-World Evidence is responsible for driving growth with biopharma customers by leveraging Datavant's portfolio of real-world evidence (RWE) solutions ...

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

As of Aug 25, 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 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.

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 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.

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.

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Real World Evidence Statistician jobs near you
Infographic showing various Real World Evidence Statistician job openings in the United States as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Remote Statistician-Real World Evidence (RWE)

King Of Prussia, PA • Remote

TechData Service Company LLC
Biotechnology Research and Development • 51 - 200 employees
Learn more about TechData Service Company LLCexternal

$100K - $160K/yr

Contractor

Medical, Dental, Life, Retirement, PTO

Posted 5 days ago

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Job description

Purpose:

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


The Statistician is responsible for working with research associates and scientists to establish a reporting database and for analyzing data for real world evidence studies.


Key Responsibilities:

The job tasks listed below outline the scope of the position. The application of these tasks may vary, based upon current business needs.


Study Design and Analysis

·        Operate in collaboration with scientist in design studies and write protocols for the conduct of research projects. 

·        Assist in or be accountable for selecting statistical methods for data analysis, authoring the corresponding sections of the protocol and the statistical analysis plan, and conducting the actual analysis once a reporting database is created.

·        Collaborate with data sciences in the planning and implementation of data quality assurance plans. 

·        Maintain currency with respect to statistical methodology, maintain proficiency in applying new and varied methods, and to be competent in justifying methods selected.

·        Influence team members regarding appropriate research methods

·        Perform peer-review of work products from other statistical colleagues.

Communication of Results and Inferences

·        Collaborate with team members to write reports and communicate results. 

·        Assist with, or be responsible for, communicating study results via regulatory submissions, manuscripts, or oral presentations in group settings, as well as for communicating one-on-one with key customers and presenting at scientific meetings. 

·        Support responses to regulatory queries and/or regulatory interactions.


Therapeutic Area Knowledge

·        Understand disease states,  competitive landscapes, and regulatory environment in order to enhance the level of customer focus and collaboration and be seen as a strong scientific contributor.

Regulatory Compliance

·        Perform work in full compliance with assigned curriculum(s) and will be responsible for following applicable Corporate, Medical, local, and departmental policies, procedures, processes, and training.


Statistical leadership and Teamwork

·        Introduce and apply innovative methodology and tools to solve critical problems

·        Merge scientific thinking and business knowledge to identify issues, evaluate options and implement solutions.

Minimum Qualification Requirements:

§  Qualified Statistician (MSc, Ph.D). in Statistics OR Biostatistics with at least 3 years of experience in the pharmaceutical industry

§  Proven experience in conducting and analyzing real-world evidence studies (prospective & retrospective observational study, electronic medical records, claim database...), and/or large database

§  Prior experience in Rheumatology, Dermatology, or Gastroenterology would be an added value (but not mandatory)

Other Information/Additional Preferences:

·        Proficient in statistical programming languages/software such as SAS and/or R

·        Able to work in a virtual environment

·        Teamwork and leadership skills

·        Technical expertise and application with working knowledge of experimental design and statistical analysis

·        Self-management skills with a focus on results for timely and accurate completion of competing deliverables

·        Creativity and innovation

·        Demonstrated problem solving ability and critical thinking

Company Description

https://quantive.bio/