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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 ...

Alzheon, Inc.

Head of Real-World Evidence

Framingham, MA · On-site

$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 ...

Alzheon, Inc.

$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 ...

ZS

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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How much do real world evidence internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for real world evidence internship in the United States is $19.31, according to ZipRecruiter salary data. Most workers in this role earn between $16.11 and $20.91 per hour, depending on experience, location, and employer.

What is a real world evidence internship?

A Real World Evidence (RWE) Internship is a training opportunity where students or recent graduates work with healthcare data collected from real-life settings, such as electronic health records, insurance claims, or patient registries. Interns typically assist with data analysis, research studies, and interpretation of outcomes to help inform healthcare decisions or support regulatory submissions. This role provides hands-on experience in applying statistical methods and epidemiology to generate insights about the effectiveness and safety of medical treatments outside of controlled clinical trials.

What kinds of projects does a real world evidence intern typically work on, and how do these contribute to larger research goals?

Real World Evidence (RWE) interns often support the analysis of large healthcare datasets, assist with literature reviews, and help develop protocols for observational studies. Their work is integral to understanding how treatments perform outside of controlled clinical trials. Interns may also collaborate with cross-functional teams, including epidemiologists, statisticians, and medical affairs, to generate insights that inform regulatory submissions or healthcare decision-making. These projects provide valuable hands-on experience in data analysis and scientific communication, contributing directly to the organization's research objectives.

What are the key skills and qualifications needed to thrive as a real world evidence intern, and why are they important?

To thrive as a Real World Evidence Intern, you typically need a background in life sciences, public health, or a related field, along with strong analytical and research skills. Familiarity with statistical software (such as SAS, R, or Python), data visualization tools, and experience with real-world data sources like electronic health records are often required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting data and collaborating with cross-functional teams. These skills ensure accurate data analysis and impactful insights that support evidence-based decision-making in healthcare.
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Real World Evidence Internship jobs near you
Infographic showing various Real World Evidence Internship job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $40,174 per year, or $19.3 per hour.

Research Principal, Real World Evidence

Cytel

Cambridge, MA • On-site, Remote

Full-time

Re-posted 5 days ago

Job description


JOB SUMMARY
A scientific/strategic contributor with broad expertise and/or unique knowledge in a specific area, and an ability to achieve objectives in creative and effective ways. Typically manages multiple projects within a client or within a specialized area across several clients. Acts as the client's primary point of contact for engagements, developing mutually beneficial partnerships and taking ownership for the needs of the client.
The successful candidate will work within a growing team of RWE statisticians, epidemiologists and health economists, and in collaboration with subject matter experts across Cytel to generate impactful real-world evidence for faster patient access to effective treatments, with a focus on real-world comparative effectiveness research (trial emulation, external control arms). The Principal/Associate Director will also contribute to external dissemination activities and research innovation strategy within the RWE team.
Responsibilities
JOB RESPONSIBILITIES:
  • Responsible for business development and/or project execution leading to a client portfolio (in value and numbers) under direct management. In particular, the candidate should be able to:
    • Build and maintain successful long-term relationships with clients. Maintain existing network of client relationships.
    • Networks with key contacts outside own area of expertise and works closely with business development team to support client work as a SME or senior lead
    • Routinely identify opportunities for follow on work.
    • Manage project to ensure specified deliverables are developed on budget and undergo appropriate review and sign off.
    • Act as a technical lead and support development of code for complex methods
  • Responsible for the successful integration of the team on projects, quality of deliverables and the project team's efficiency. This includes
    • Mentoring and training of junior staff. Responsible for junior staff meeting the technical aspects their career development goals
    • Leadership or significant contributions to scientific processes involved with client deliverables (e.g., report templates, analysis plans, development of internal software/tools)
    • Can identify independently relevant methods, techniques and evaluation criteria for obtaining results
  • Keep abreast with regulatory, reimbursement and other industry requirements and guidelines, including via active participation in scientific conferences and symposia.
  • Identify and communicate recruitment needs. Lead or participate in hiring and training consultants as requested.
  • Ensure company and business unit policies, standards, and procedures are met.
  • Thought leader specifically, leading on external engagement in their topic area (conferences, publications, seminars) and internally through training, upskilling juniors.

Qualifications
Qualifications and Experience:
  • Education: Master's degree in Epidemiology, Biostatistics, Data Science, Mathematics or other relevant scientific field. PhD highly desirable.
  • Experience: 12-15 years of experience in the RWE or health research, academic or consulting environment. May require additional experience depending on focus area.
  • Skills:
    • Thorough understanding of the biopharmaceutical R&D process combined with business acumen.
    • Comfortable presenting and interfacing with senior executives within client companies. Strong technical-writing, oral communication and presentation skills, excellent use of the English language.
    • Curious, collaborative, entrepreneurial and self-motivated, without the need for significant infrastructure and support, and with an understanding of the dynamics of high-growth companies; the ability to work effectively in a demanding, challenging, rapidly changing environment.
    • Strong interpersonal skills with the ability to gain respect of and influence management team, board members, the customer and prospect communities, and personnel at all levels.
    • Strong problem-solving and analytical skills, and the ability to execute in complex situations at the tactical level.
    • Subject matter expertise in causal inference methods for comparative effectiveness studies, including target trial emulation, and/or developing real-world external control arms for clinical trials
    • Extensive experience with large healthcare real-world databases (electronic health records, claims databases)
    • Strong programming in R
    • Experience, vision, creativity, scope, integrity, leadership skills, prestige and intellect to enhance the existing organization and constructively contribute to the strategic direction of Cytel.
    • Experience with AI/ML methods
    • Experience with Bayesian statistical methods

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