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INTRODUCTION & ROLE PURPOSE Acumetis was born from the union of leaders in life sciences strategy and patient-focused solutions . Together, we combine decades of experience across scientific insights, commercial strategy, launch excellence, and healthcare innovation to tackle the complex challenges that shape the future of medicine. We partner with leaders to solve high-stakes problems, uncover hidden opportunities, and translate scientific and commercial insight into actionable strategies . By connecting expertise across functions, life sciences organizations can make smarter decisions, accelerate performance, and deliver therapies to the patients who need them the most. When you reframe what’s possible, new angles emerge, decisions sharpen, and new potential comes to life. The Technical Manager - Statistics is a senior specialist responsible for providing deep technical and strategic support and delivery within their specialism. Responsibilities span methodological input, guidance, project delivery and quality assurance, training and upskilling, and business development. The Technical Manager - Statistics acts as an internal expert , supporting project teams through advanced analytical input, hands-on problem solving, technical oversight and training. Unlike a traditional manager, this role focuses on technical execution, innovation, and quality assurance, ensuring that statistical components of HEOR studies are methodologically robust, efficient, and aligned with best practice. Further development of technical skills within this role is expected to keep the business at the cutting edge of innovative statistical methodologies . ROLE RESPONSIBILITIES AND EXPECTATIONS Core Knowledge Deep expertise in statistical analysis methodologies, including advanced and innovative techniques. Strong understanding of best practice in statistical design, execution, quality control, and interpretation. Knowledge of project economics, including budgeting, resourcing, timelines, and risk management for analytical deliverables. Awareness of emerging developments, tools, and technologies in statistical analysis and their application in consultancy and client work. How You Work Critical Thinking & Attention to Detail Identify gaps, inconsistencies, and strategic misalignment in analytical approaches, proposing clear solutions proactively to safeguard project quality. Ensure quality assurance (QA) processes are embedded across projects and rigorously followed. Applies rigorous analytical thinking to ensure methodological accuracy, robustness, and consistency across projects. Reviews and challenges assumptions, methods, and outputs to maintain high technical and quality standards. Shapes and reviews statistical deliverables, ensuring methodological appropriateness and precision Time Management & Collaboration Balance delivery responsibilities with advisory leadership and innovation responsibilities across multiple concurrent projects. Prioritises work effectively, particularly under tight or critical timelines. Foster cohesion and collaboration across functions, disciplines, and project teams. Communication & Client Engagement Communicates complex statistical concepts clearly to internal teams and clients. Acts as thae statistical point of contact for clients, ensuring clarity around methods, assumptions, limitations, and results. Supports client discussions and meetings by providing specialist input on statistical aspects of projects. Project Management Operates as the technical counterpart to the project manager on relevant projects, internally managing teams when allocated to projects in a management capacity. Coordinates analytical tasks within project teams, ensuring appropriate delegation, documentation,