PE Global

Statistical Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Principal Statistician – Real World Analytics, a 24-month remote contract in the UK, offering £85,500 annually. Key requirements include a PhD or MS in Biostatistics, 4+ years in pharmaceutical statistics, and expertise in SAS, R, and RWE methodologies.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
388
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🗓️ - Date
October 25, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Fixed Term
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🔒 - Security
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#R #Leadership #ADaM (Analysis Data Model) #Programming #Statistics #ML (Machine Learning) #Data Management #Datasets #SAS
Role description
PE Global is hiring for a Principal Statistician – Real World Analytics on behalf of our leading global pharmaceutical client. This is a 24-month contract position offering a annual rate of approximately £85,500, fully remote within the UK. We are seeking an experienced statistician with strong expertise in study design, statistical analysis, and Medical Affairs support. Please note that candidates with primarily programming-heavy experience are not a good fit for this position. Position Summary • Provide statistical leadership in the design and analysis of observational and/or interventional studies. • Author and review Statistical Analysis Plans (SAPs), analysis dataset specifications, and TFL shells. • Collaborate with programming, data management, and cross-functional teams for Phase 4 non-interventional studies. • Validate and review datasets and outputs. • Conduct statistical analyses for Medical Affairs and Real World Evidence (RWE) projects. • Support the development of abstracts, posters, and manuscripts for publication. Core Requirements • PhD or MS in Biostatistics or Statistics. • Minimum 4 years’ pharmaceutical industry experience providing statistical input into study design, analysis, and reporting. • Minimum 4 years’ experience in Phase 4, Medical Affairs, RWE, or HEOR studies. • Minimum 4 years’ experience with SAS and R. • Solid knowledge of SDTM and ADaM data standards. • Experience with Real World Data (RWD) and methodologies such as propensity score analysis and causal inference. • Strong understanding of advanced statistical models including mixed effect models and machine learning approaches. Additional Information • 25 days annual leave (pro rata) + bank holidays. • Immediate start available. Please note PE Global cannot represent candidates without a valid right to work for at least the next 24 months. Candidates will need the full right to live and work within the UK for the full duration of the contract.