Manager, Statistics Sciences & Analysis

Are you a statistical leader who thrives on developing high-performing teams whilst delivering scientific excellence across complex research programmes?

R&D Partners is seeking a Manager, Statistical Sciences to support innovative clinical and research programmes. This role offers the opportunity to provide both technical and people leadership, driving statistical excellence across a diverse portfolio of projects while contributing to the development of products that improve patient outcomes worldwide.

Please note:

To be considered for this role, you must have the right to work in the UK.

• Lead and coordinate statistical support across clinical research and product development programmes, ensuring quality, consistency, and compliance.
• Manage, coach, and develop a team of statisticians and analysts, providing guidance, feedback, and career development support.
• Drive team performance through effective objective setting, performance management, and development planning.
• Allocate and manage statistical resources across multiple projects, balancing business priorities and project requirements.
• Support product development activities through robust experimental design, data analysis, and interpretation.
• Ensure analyses, reports, and sampling plans meet internal standards, regulatory expectations, and industry best practice.
• Provide statistical input into regulatory submissions and communications with external regulatory authorities.
• Partner with cross-functional stakeholders to support strategic decision-making and business objectives.
• Identify opportunities to enhance statistical methodologies, processes, and team capability.
• Support recruitment, onboarding, succession planning, and talent development initiatives within the function.

• Degree qualified in Statistics, Mathematics, Data Science, or a related technical discipline.
• Proven experience leading and managing technical teams, including performance management, coaching, mentoring, and employee development.
• Demonstrated success in building, developing, and retaining high-performing teams.
• Strong expertise in statistics, analytics, and performance measurement within a commercial, scientific, research, or technical environment.
• Experience managing multiple priorities and delivering results through team leadership.
• Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
• Experience working within a regulated or operationally complex environment is advantageous.
• Experience using statistical analysis software such as SAS, R, Python, or equivalent tools would be beneficial.

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