Himalayas · Partner listingRWE Specialist
Parexel
⌖ United KingdomSalary not providedRemoteNot specified · Full-time
Source: Himalayas ↗
Location & working arrangementWorking arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.
Provider location / applicant eligibility: United Kingdom
About the role
When our values align, there's no limit to what we can achieve.At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.
Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.
At Parexel, we believe in the power of real-world data to transform clinical research and improve patient outcomes. We are seeking a passionate and experienced RWE Specialist join our team and support the design and execution of clinical trials through advanced analytics and evidence generation. This role is ideal for someone who thrives in a collaborative, cross-functional environment and is driven by innovation and scientific rigor.
Title: RWE Specialist
Location: Remote – UK
Key Responsibilities
Understand and be familiar with the licensed RWD database(s) relevant to the organization’s clinical research initiatives
Independently identify, access, and assess in-house real-world data sources (EHRs, claims, registries, etc.) relevant to clinical trial populations and endpoints
Access and summarize non-patient-level real-world data (publications, aggregate claims or EHR analytics, federated learnings, external collaborations, etc.) relevant to clinical trial populations and endpoints
Critically evaluate data quality, completeness, and suitability for specific trial design questions
Develop RWD exploration plans
Clean, process, and harmonize raw RWD for analysis, applying data governance and privacy standards
Use SAS, R, Python and/or other advanced analytical programming tools to perform statistical analyses and generate insights on patient characteristics, treatment patterns, outcomes, and epidemiology
Prepare clear, concise evidence summaries and visual reports to inform protocol development (inclusion/exclusion criteria, endpoints, comparator selection, feasibility assessments, etc.)
Collaborate cross-functionally with clinical, regulatory, biostatistics, and medical teams to ensure alignment with study goals and timelines
Stay current on RWD methodologies, regulatory guidance, and technological advances in the field
Ensure all work supports timely, high-quality decision making for new clinical trial design and execution
Develop innovative RWD analytical tools to support evolving clinical trial needs
Conduct independent assessments of data sources to determine relevance, quality, and utility for real-world evidence generation
Incorporate input from internal subject matter experts (SMEs) to ensure alignment with RWE/RWD best practices and strategic objectives
Qualifications
Advanced degree in Epidemiology, Biostatistics, Public Health, or related field preferred
3–5 years of relevant experience in real-world data analytics or related field
Proficiency in SAS, R, Python, and SQL
Experience working with healthcare data sources including EHRs, claims, and registries
Strong understanding of clinical trial design and real-world evidence methodologies
Demonstrated ability to develop and apply innovative analytical tools and approaches
Excellent communication and collaboration skills
Ability to work independently and cross-functionally in a fast-paced, matrixed environment
Why Parexel?
At Parexel, we put patients first. Our global team is united by a shared commitment to scientific excellence, operational integrity, and continuous learning. We foster a culture of inclusion, flexibility, and purpose-driven work—where your contributions directly impact the future of healthcare.
Originally posted on Himalayas
Skills mentioned in the listing
PythonSQL
Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.
Why these skills appear
Python · mentioned
w RWD for analysis, applying data governance and privacy standards Use SAS, R, Python and/or other advanced analytical programming tools to perform statistical analyses and generate insights on patient characteristics,
SQL · requirement-context
real-world data analytics or related field Proficiency in SAS, R, Python, and SQL Experience working with healthcare data sources including EHRs, claims, and registries Strong understanding of clinical trial design a