RWE Specialist
Remote – UKFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- PythonSQLR
Requirements
- 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
- Proficiency in R
- Proficiency in Python
- Proficiency in 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
Responsibilities
- Understand and be familiar with licensed RWD database(s) relevant to clinical research initiatives
- Independently identify, access, and assess in-house real-world data sources (EHRs, claims, registries, etc.)
- Access and summarize non-patient-level real-world data (publications, aggregate claims or EHR analytics, federated learnings, external collaborations, etc.)
- 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
- Prepare clear, concise evidence summaries and visual reports to inform protocol development
- Collaborate cross-functionally with clinical, regulatory, biostatistics, and medical teams
- Stay current on RWD methodologies, regulatory guidance, and technological advances
- 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
- Incorporate input from internal subject matter experts (SMEs) to ensure alignment with RWE/RWD best practices and strategic objectives
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