b Overview /b p In this role you will elevate Ipsen’s Biometry into an AI-enabled, automation-first function. You will lead a cross-disciplinary team to deliver ML, LLM-driven analyses, and automated data applications across R D. You’ll partner with IT, Digital/Analytics, and external providers to turn high-value use cases into governed, scalable solutions. You drive adoption and ensure robust, validated, reproducible outputs that accelerate decision-making. This is a chance to shape a capable AI-native Biometry. You will work closely with study teams and leadership to deliver tangible impact. /p b Responsibilities /b ul li Lead the AI-Programming capability within Biometry, defining strategy, roadmap, standards and operating model for AI-enabled programming, automation, application development and information science. /li li Build and lead a specialist team of clinical data scientists, AI-programming experts and application developers, including workforce planning, capability development, coaching, prioritization, delivery oversight and succession planning. /li li Drive automation capabilities to improve speed, quality, consistency and scalability of Biometry deliverables and workflows. /li li Scale ML, LLM and AI-enabled analytics to support priority clinical, statistical, programming and R D decision-making use cases. /li li Design and deliver fit-for-purpose applications, tools and data products that make Biometry insights accessible and reusable. /li li Establish governance for AI-enabled programming covering intake, validation, documentation, version control, access, model monitoring and training. /li li Collaborate with Statistical Programming, Biostatistics, Clinical Development, Data Management, IT, Digital/Data/Analytics/AI and external providers to transform high-value use cases into governed, scalable solutions. /li li Evaluate external tools, vendors and platforms, with buy-vs-build decisions based on value, feasibility, compliance, security, scalability and maintainability. /li li Promote adoption through training, communities of practice, reusable playbooks and demonstrations of value across priority studies. /li /ul b Key requirements /b ul li 10+ years in pharmaceutical/biotech/technology/data science or statistical programming with significant leadership experience. /li li Strong understanding of clinical trials, data science, and clinical data flow, validation and outputs. /li li Proven track record in developing or scaling automation, applications, data products or AI-enabled programming in regulated environments. /li li Proficiency in modern programming and AI/ML tools (R, Python, SAS or equivalent), ML, LLMs, GenAI, data governance. /li li Experience leading technical teams and delivery portfolios, including resourcing, coaching and change adoption. /li li Ability to communicate complex trade-offs and business value to senior stakeholders. /li li Experience with clinical data standards, metadata management, validated computing environments, cloud platforms and version control. /li /ul ul li accountability /li li talent development and coaching /li li clear, structured communication /li li R /li li Python /li li SAS /li /ul
Statistical Programming Innovation Lead employer: Ipsen
Ipsen Biopharm Ltd is an exceptional employer that prioritises a human-centric workplace culture, fostering collaboration and excellence. With a commitment to employee growth, Ipsen offers opportunities for continuous improvement and innovation in the biopharmaceutical field, particularly in vibrant locations like Paris and London. Employees are empowered to thrive, making a meaningful impact on patients and society while enjoying a supportive environment that values diverse perspectives.
