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Real World Evidence Remote information

What is a Real World Evidence (RWE) professional?

A Real World Evidence (RWE) professional is someone who collects, analyzes, and interprets data from real-life clinical settings to inform healthcare decisions. Unlike traditional clinical trials, RWE uses data from sources such as electronic health records, insurance claims, patient registries, and wearable devices. These professionals help pharmaceutical companies, regulatory agencies, and healthcare providers understand how treatments work in diverse, everyday populations. Their work supports drug development, regulatory submissions, and improved patient outcomes, often working remotely with data science and epidemiology teams.

What are the key skills and qualifications needed to thrive as a Real World Evidence (RWE) professional working remotely, and why are they important?

To thrive as a Real World Evidence professional, you need a strong background in epidemiology, data analysis, and life sciences, often supported by an advanced degree such as a Master's or PhD. Familiarity with statistical software (like SAS, R, or Python), data visualization tools, and experience working with large healthcare databases are typically required. Excellent communication, self-motivation, and organizational skills help remote RWE professionals collaborate effectively and manage projects independently. These skills ensure rigorous, high-impact research that informs healthcare decisions and supports regulatory submissions in a remote, data-driven environment.

What are the common challenges faced by professionals in remote Real World Evidence (RWE) roles and how can they be addressed?

One common challenge in remote RWE positions is effective collaboration with cross-functional teams, as these roles often require close coordination with clinical, data science, and regulatory colleagues across different time zones. Clear communication and proactive scheduling of virtual meetings are essential to stay aligned on project objectives. Additionally, remote RWE professionals must be adept at managing large, complex datasets securely from home, which requires a strong understanding of data privacy protocols and remote access tools. Regular training and leveraging secure, cloud-based platforms can help address these challenges and ensure productivity.
More about Real World Evidence Remote jobs
What cities are hiring for Real World Evidence Remote jobs? Cities with the most Real World Evidence Remote 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 Remote jobs? States with the most job openings for Real World Evidence Remote jobs include:
Infographic showing various Real World Evidence Remote job openings in the United States as of May 2026, with employment types broken down into 20% Internship, 40% Full Time, 20% Part Time, and 20% Contract. Highlights an 100% Remote job distribution.
Pharmacist - Real-World Evidence & Health Policy Consulting

Pharmacist - Real-World Evidence & Health Policy Consulting

RTI International

Durham, NC โ€ข On-site, Remote

$55 - $66/hr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 6 days ago


Job description

Why RTI

RTI International is an independent, scientific research institute dedicated to improving the human condition. Our vision is to address the world's most critical problems with technical and science-based solutions in pursuit of a better future. Clients rely on us to answer questions that demand an objective and multidisciplinary approachโ€”one that integrates expertise across social, statistical, data, and laboratory sciences, engineering, and other technical disciplines to solve the worldโ€™s most challenging problems.
We believe in the promise of science and technical solutions, and we push ourselves every day to deliver on that promise for the good of people, communities, and businesses in the US and around the world. If you are looking for the opportunity to make a real difference, RTI is the place for you.


About the Hiring Group

RTI International is seeking a clinically trained pharmacist with strong research experience in synthesizing clinical trial and real-world evidence (RWE) to support federal and state health policy initiatives, value-based care design, and pharmaceutical policy consulting.

The successful candidate will contribute to the design, execution, and communication of evidence-based insights derived from existing literature, claims, EHR, registry, and other healthcare data sources. This role also involves interpretating analytic results and translating complex data into actionable recommendations for policymakers. A specialization in oncology is desirable but not required.

This position may be based in RTIโ€™s U.S. office in Research Triangle Park, NC, or may be considered for fully remote work from an approved location within the United States. Teleworking is permitted within the United States only and is subject to RTI approval; not all U.S. locations may be eligible.


What You'll Do
  • Synthesize evidence on drug comparative effectiveness, adverse effects, safety, patient adherence and preferences, unmet need, and therapeutic advances from existing literature, including randomized controlled trials, systematic reviews and network meta-analyses, FDA labels and clinical practice guidelines.
  • Help design, conduct, and interpret studies to understand drug utilization patterns overall and in subpopulations, using claims and other data sources. Identify clinically relevant outcomes, endpoints, and surrogate markers, and specify appropriate subgroups relevant to clinical practice guidelines.
  • Provide clinical expertise on drug formulations, dosing logic, drug characteristics, therapeutic alternatives to new and existing indications, and contribute clinical coding expertise, including identifying off-label use.
  • Serve as a subject-matter expert on drug pharmacology, classification systems, drug compendia, and use of publicly available and commercial drug databases.
  • Conduct and report on interviews of clinical experts (physicians) to understand current real-world treatment patterns and considerations in the use of select drugs.
  • Support development of value frameworks, formulary recommendations, and coverage policies (tier placement and utilization management) for public and private payers.
  • Collaborate with multidisciplinary research teams including health economists, physicians, biostatisticians, policy analysts, programmers, and clients.
  • Translate findings into policy-relevant deliverables, such as reports, briefs, presentations, and publications.

What You'll Need

Minimum Qualifications:

  • Doctor of Pharmacy (PharmD) or equivalent clinical pharmacy degree with at least six years of relevant experience.
  • At least three years of experience in healthcare consulting, health services research, managed care, and/or life sciences RWE generation.
  • Demonstrated experience designing or interpreting observational studies (e.g., cohort studies, cost analyses, comparative effectiveness, systematic evidence reviews, clinical drug evaluations) and experience conducting outcomes research or evidence synthesis.
  • Working knowledge of pharmacy claims, data, formulary design, quality measures (e.g., PQA patient safety measures, medication adherence, STAR ratings), and clinical practice guidelines.
  • Strong written and verbal communication skills, with experience translating clinical data for diverse stakeholders.
  • Proficiency collaborating in interdisciplinary teams and managing multiple priorities in a fast-paced environment.
  • Proficiency with Microsoft Office 365 Suite (Word, Excel, PowerPoint, etc.).
  • To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa statusย (e.g., H-1B visa status, etc.).

Preferred Qualifications:

  • Advanced degree in health economics, public health, epidemiology, or health policy.
  • Knowledge of CMS programs (e.g., Medicare Part D, Innovation Center models), Medicaid pharmacy policy, 340B drug pricing program, and commercial payer practices and pricing.
  • Experience working with Medicare or Medicaid claims data, or other large health care datasets.
  • Familiarity with statistical programming (e.g., SAS, R, Python) or experience overseeing data analysts and programmers.

EEO & Pay Equity Statements

For San Francisco, CA USA Job Postings Only: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Further information is availableย here.

RTI accepts applications to our job openings from candidates with criminal histories or conviction records in accordance with all applicable laws, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

For Applicants in Massachusetts Only:ย It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

The anticipated pay range for this role is listed below. Our pay ranges represent national averages and may vary by location as a geographic differential may be applied to some locations within the United States. RTI considers multiple factors when making an offer including, for example: established salary range, internal budget, business needs, and education and years of work experience possessed by the applicant. Further, salary is merely one element to our offer.


At RTI, we demonstrate our commitment to rewarding individual and team achievement through a total rewards package. This package includes (among other things) a competitive base salary, a generous paid time off policy, merit based annual increases, bonus opportunities and a robust recognition program. Other benefits include a competitive range of insurance plans (including health, dental, life, and short-term and long-term disability), access to a retirement savings program such as a 401(k) plan, paid parental leave for all parents, financial assistance with adoption expenses or infertility treatments, financial reimbursement for education and developmental opportunities, an employee assistance program, and numerous other offerings to support a healthy work-life balance.


Equal Pay Act Minimum/Range
$145,000 - $179,000Qualifications:

Minimum Qualifications:

  • Doctor of Pharmacy (PharmD) or equivalent clinical pharmacy degree with at least six years of relevant experience.
  • At least three years of experience in healthcare consulting, health services research, managed care, and/or life sciences RWE generation.
  • Demonstrated experience designing or interpreting observational studies (e.g., cohort studies, cost analyses, comparative effectiveness, systematic evidence reviews, clinical drug evaluations) and experience conducting outcomes research or evidence synthesis.
  • Working knowledge of pharmacy claims, data, formulary design, quality measures (e.g., PQA patient safety measures, medication adherence, STAR ratings), and clinical practice guidelines.
  • Strong written and verbal communication skills, with experience translating clinical data for diverse stakeholders.
  • Proficiency collaborating in interdisciplinary teams and managing multiple priorities in a fast-paced environment.
  • Proficiency with Microsoft Office 365 Suite (Word, Excel, PowerPoint, etc.).
  • To qualify, applicants must be legally authorized to work in the United States and should not require, now or in the future, sponsorship for employment visa statusย (e.g., H-1B visa status, etc.).

Preferred Qualifications:

  • Advanced degree in health economics, public health, epidemiology, or health policy.
  • Knowledge of CMS programs (e.g., Medicare Part D, Innovation Center models), Medicaid pharmacy policy, 340B drug pricing program, and commercial payer practices and pricing.
  • Experience working with Medicare or Medicaid claims data, or other large health care datasets.
  • Familiarity with statistical programming (e.g., SAS, R, Python) or experience overseeing data analysts and programmers.
Education:UNAVAILABLEEmployment Type: FULL_TIME