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Real World Evidence Statistician Jobs (NOW HIRING)

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 ...

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Real World Evidence Statistician information

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$50.5K

$86.9K

$116.5K

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

As of Aug 11, 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.

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.

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.

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.
More about Real World Evidence Statistician jobs
What cities are hiring for Real World Evidence Statistician jobs? Cities with the most Real World Evidence Statistician job openings:
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Infographic showing various Real World Evidence Statistician job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $86,921 per year, or $41.8 per hour.

Client Partner, Real-World Evidence

Datavant

Little Rock, AR • On-site

Other

Re-posted 24 days ago


Datavant rating

7.1

Company rating: 7.1 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

147th of 223 rated it services


Job description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world's health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient's request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you're stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

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, analytics platforms, and AI platform and services. This role will partner closely with Client Partners across key accounts for co-selling, account planning, and evidence strategy alignment.

You will serve as a trusted advisor on the use of real-world data (RWD) and RWE to support regulatory, market access, and HEOR needs - representing the voice of the customer and ensuring that Datavant's offerings meet evolving evidence generation requirements. 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 Role

  • Prospect & Generate Leads: Develop and execute strategic plans to identify and target new business opportunities in biopharma, healthcare, and life sciences with a focus on organizations investing in real-world evidence strategies for regulatory submissions, market access, and clinical development.

  • Build Pipeline: Proactively engage prospects via outbound calls, emails, and industry networking to build a robust pipeline of opportunities related to Aetion's evidence generation, AI, and analytics solutions.

  • Close Deals: Own the full sales process - from initial outreach to contract closure - ensuring alignment between customer evidence needs and Aetion's RWE offerings, including the Aetion Evidence Platform (AEP) and associated data and consulting services.

  • Client Engagement: Present Aetion's value proposition in RWE and RWD analytics through compelling demonstrations and business cases that highlight regulatory-grade evidence generation, comparative effectiveness, and real-world outcomes research. Engage with senior stakeholders including heads of HEOR, RWE, Market Access, and Clinical Development.

  • Collaborate Cross-Functionally: Partner with marketing, product, and science teams to deliver tailored RWE solution proposals, ensuring alignment with client data strategies, evidence frameworks, and regulatory expectations (e.g., FDA, EMA guidance).

  • Market Expertise: Stay current on RWE market dynamics, technology and AI, regulatory guidance for real-world data, and competitor offerings to position Aetion as a strategic leader and partner of choice in the evidence generation ecosystem.

  • Forecasting & Reporting: Maintain accurate pipeline management and forecasting in CRM systems, with attention to evidence project cycles, platform usage models, and customer expansion opportunities.

  • Drive Growth: Identify new and upsell opportunities across assigned territories and existing accounts, particularly in expanding RWE adoption for post-approval studies, safety monitoring, and market access support.

Qualifications of the Role

  • Proven Track Record: 6+ years of successful sales experience, ideally in healthcare, life sciences, or SaaS; with a strong preference for experience selling RWE, HEOR, or data analytics solutions. Background in selling AI is also to be considered.

  • RWE Expertise: Deep understanding of real-world data sources, evidence generation methodologies, and use cases across the product lifecycle - from clinical development to commercialization.

  • Hunter Mentality: Skilled at identifying, developing, and closing new RWE-focused opportunities with top biopharma clients.

  • Sales Expertise: Experience managing complex, consultative sales cycles involving scientific, commercial, and data stakeholders.

  • Technology/AI Skill Sets: Proven experience, knowledge, and market understanding on real AI-driven use cases for HEOR and RWE.

  • Presentation Skills: Exceptional ability to communicate scientific and technical value propositions to diverse audiences, including C-suite and RWE/HEOR leadership.

  • CRM Proficiency: Experienced in CRM management for tracking RWE opportunity pipelines and forecasting revenue growth.

  • Industry Knowledge: In-depth knowledge of RWE market trends, regulatory guidance, and payer evidence needs is essential.

  • Collaborative Team Player: Comfortable working with cross-functional science, data, and product teams in a fast-paced, mission-driven environment.

  • Communication Skills: Strong written and verbal communication skills, capable of translating complex RWE concepts into impactful narratives for decision-makers.

#BC-LI1

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. This role is eligible for additional variable compensation.

The estimated base salary range (not including variable pay) for this role is:

$140,000-$170,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (https://www.datavant.com/eeo-commitment-statement) . Know Your Rights (https://www.eeoc.gov/know-your-rights-workplace-discrimination-illegal) , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way.

Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (https://peopleteam.datavant.com/portal/en/newticket?departmentId=248697000248790029&layoutId=248697000248795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (https://app.tango.us/app/workflow/Greenhouse--Locating-Requisition-ID-2c7d618c8a8a423da4330ff12330695e) . Requests for reasonable accommodations will be reviewed on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy (https://www.datavant.com/privacy-policy) .


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