Title:
Statistical Programming Innovation Lead
Company:
Ipsen Biopharm Ltd
About Ipsen:
Ipsen is a mid‑sized global biopharmaceutical company with a focus on transformative medicines in three therapeutic areas: Oncology, Rare Disease and Neuroscience. Supported by nearly 100 years of development experience, with global hubs in the U.S., France and the U.K, we tackle areas of high unmet medical need through research and innovation. Our passionate teams in more than 40 countries are focused on what matters and endeavor every day to bring medicines to patients in 88 countries. We build a workplace that champions human‑centric leadership and fosters a culture of collaboration, excellence and impact. At Ipsen, every individual is empowered to be their true selves, grow and thrive alongside the company's success. Join us on our journey towards sustainable growth, creating real impact on patients and society! For more information, visit us at https://www.ipsen.com/ and follow our latest news on LinkedIn and Instagram.
Job Description:
Statistical Programming Innovation Lead
WHAT - Summary & Purpose of the Position
The Statistical Programming Innovation Lead advances innovation across Ipsen's Biometry capabilities, spanning clinical trial design, statistical programming, and information science including through AI and automation. The role establishes the strategy, standards and ways of working needed to identify, develop and scale innovative approaches across study design, analysis and delivery. The role leads experts in innovative programming, analytical methods, AI‑enabled solutions, automation and information science, partnering across R&D, IT, Digital/Data/Analytics/AI and external providers to translate high‑value opportunities into governed, reusable solutions. The role accelerates clinical development through novel approached to trial design and statistical programming innovation, ensuring outputs are scientifically robust, documented, reproducible, scalable and validated where required. As a peer Biometry capability, the role embeds a broader culture of innovation across the function to improve scientific quality, speed, productivity and decision‑making.
WHAT - Main Responsibilities & Technical Competencies
- Lead the Statistical Programming Innovation capability within Biometry, setting the strategy, roadmap, priorities, standards and ways of working for statistical programming, automation, information science and innovation in optimal clinical trial design.
- Build and lead a specialist team with expertise in AI‑enabled statistical programming, automation, information science and advanced analytical methods, with accountability for workforce planning, capability development, coaching, prioritisation, delivery oversight and succession planning.
- Lead the development and adoption of innovative statistical programming and automation capabilities that improve the speed, quality, consistency and scalability of Biometry analysis, reporting and delivery.
- Identify, develop and scale innovative statistical methods, including ML- and AI‑enabled approaches, to optimise clinical trial design, analysis and statistical programming.
- Partner with IT and Digital/Data/Analytics/AI to design and deliver fit‑for‑purpose applications, tools and data products that enable Biometry methods, data and insights to be accessed, applied and reused effectively.
- Establish governance for AI‑enabled and innovative Biometry solutions, including use‑case intake, risk assessment, validation, documentation, version and access control, model monitoring, lifecycle management and user training.
- Partner across Statistical Programming, Biostatistics, Statistical Innovation and external providers to translate high‑value use cases into reusable and scalable solutions.
- Evaluate emerging methods, tools, vendors and platforms, making build‑versus‑buy recommendations based on scientific and business value, technical feasibility, compliance, security, scalability and long‑term maintainability.
- Drive adoption of new methods, tools and ways of working across Statistical Programming, Biostatistics and asset teams through training, communities of practice, value demonstrations and hands‑on support for priority studies.
HOW - Behavioural Competencies Required
Competency Competency Behavioural Markers Explanation of Choice
Ensures Accountability - Ensures single accountable referents per task/project/outcome (independent of organizational context or multi‑team projects)
- - Builds and anchors an environment where people have the skills and habits to ask for clarification when accountabilities are unclear
- - Consults/seeks relevant stakeholder views/expertise and coaches/ensures decisions are made by consent vs. consensus
- - Takes personal accountability for decisions, actions, successes and failures, and fosters the same for others
- - Follows through on commitment and makes sure others do the same Owns the Statistical Programming Innovation str
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Contact Details:
Ipsen Biopharmaceuticals Inc. Recruitment Team
