We are seeking an experienced RWE, Real World Evidence Statistician to provide specialist statistical support for RWE clinical studies on a flexible, zero-hours contract basis.
Requirements
- Expert understanding of observational study design and analysis
- Deep knowledge of RWE/RWD principles, strengths, and limitations
- Strong grounding in causal inference concepts, bias, and confounding
- Working knowledge of relevant guidance (e.g. FDA RWE Framework, EMA guidance, ISPOR good practice)
- Minimum qualification: MSc in Statistics or related quantitative discipline (or equivalent experience)
- Typically 10-15 years’ experience in pharmaceutical, healthcare, CRO, or academic settings
- Demonstrated experience delivering independent RWE or outcomes research consultancy
- Proven ability to review, challenge, and refine non-interventional analyses
- Experience working with medical record–derived or routinely collected healthcare data
- Proficiency in SAS and/or R; familiarity with real world data structures
- Ability to explain complex methodological issues clearly and proportionately
- Strong analytical accuracy and attention to detail
- Ability to work independently while adhering to defined specifications
Benefits
- Flexible zero-hours arrangement based on project demand
- Time and materials engagement model
- Opportunity to support a range of early-phase clinical development programmes
- Fully remote working environment