Job Description
Contract Real World Evidence Statistician – RWE Analysis (Zero Hours Contractor)
Location: Remote / Flexible
Contract Type: Zero Hours Specialist Contractor (Time and Materials)
Function: Statistics / Real World Evidence
About the Role
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. This role focuses on delivering high-quality RWE analyses, quality control activities, and analytical peer review in line with study protocols, Statistical Analysis Plans (SAPs), and regulatory expectations.
This is an ideal opportunity for a contractor who enjoys working independently within a defined analytical scope while collaborating with multidisciplinary clinical development teams.
Key Responsibilities
Real World Evidence Data Analysis and Reporting
- Perform standard real world analysis studies
- Provide expert statistical input into the design of observational and non-interventional studies using real world data (RWD)
- Advise on appropriate study designs (e.g. pre/post, cohort, matched comparator, benchmark-aligned analyses) and their limitations
- Define analytically sound frameworks for outcomes reporting aligned to the intended use (e.g. external credibility rather than regulatory submission)
Quality Control and Review
- Act as an independent statistical expert reviewing client-generated RWE analyses
- Provide written and verbal critique of analytical approaches and outputs
- Support refinement of outcomes reporting to improve credibility and external acceptance
- Peer review analyses performed by other statisticians or programmers
- Document QC findings clearly and support issue resolution in line with SOPs and good statistical practice
Client-Facing Scientific Support
- Engage directly with sponsors to understand clinical services, data sources, and stakeholder objectives
- Participate in scientific discussions with clinicians, medical leadership, and external partners
- Represent Quanticate as an independent, authoritative biometrics partner in RWE discussions
Training and Thought Leadership
- Provide internal guidance or training on RWE methodology and good practice
- Contribute to white papers, methodological guidance, or thought leadership content in RWE
- Support development of repeatable RWE analysis frameworks for ongoing client use
Contract Details
- 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
How to Apply
Please submit your CV outlining relevant PK analysis experience and availability for contract work.
About You
Qualifications and Knowledge
- 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)
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
Technical Skills
- 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
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