What will you do?  

• Contribute to study delivery under supervision, supporting lead statisticians on defined work packages and agreed timelines.  

• Provide statistical input to the design, analysis, reporting and interpretation of studies, including drafting sections of analysis plans and key documents with guidance.  

• Perform statistical analyses and produce clear outputs using appropriate tools, applying reproducible practices and quality checks to own work.  

• Communicate progress, results and recommendations clearly to technical and non-technical colleagues, adapting messages to the audience and incorporating feedback.  

• Build and maintain effective working relationships within multi-disciplinary teams, collaborating with internal partners and (where appropriate) supporting external interactions under guidance. 

• Contribute to innovation and continuous improvement by exploring new approaches (e.g., modelling, simulation, GenAI, ML, and other modern methods) where appropriate and with support, sharing learnings with the team.  

• Participate in peer review and team discussions, helping strengthen consistency, rigour and good practice across deliverables.  

• Gain experience across the end-to-end development lifecycle through rotations (from early development through registration and lifecycle support), building breadth and confidence over time.  

What are we looking for?  

• MSc degree from an accredited college/university in statistics, with a strong biostatistics or medical statistics focus. Course completion by September 2026. 

• Using statistical software and coding for analysis; knowledge & experience with R is essential. E.g. computational statistics modules. 

• Practical and technical understanding of statistical inference, Bayesian methodology, modelling, and motivation to apply methods to real development questions.  

• Ability to deliver accurate, high-quality work with strong attention to detail, documentation and data integrity.  

• Clear written and verbal communication in English, including ability to explain statistical ideas in plain language and keep supervisors informed of progress and challenges.  

• Collaborative mindset and evidence of working effectively in teams and proactively seeking input when needed. 

• Strong organisation, time management and prioritisation skills; ability to manage tasks to agreed timelines.  

• Learning agility, resilience and a growth mindset - openness to feedback and commitment to building capability in technical skills and critical business skills across rotations.