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Ipsen

Head of AI Programming

Ipsen

. Lead the AI-Programming capability within Biometry, setting strategy, roadmap, priorities, standards and operating model .

Posted 9/22/2026full-timeLondon • United KingdomLeadWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI-Programming, clinical data science, and statistical programming, with a strong focus on developing and scaling automation and AI-enabled capabilities in a regulated environment. Proven ability to lead technical teams, manage stakeholder communication, and deliver high-quality data products and applications.

Highest-signal resume keywords
AI-Programming LeadershipClinical Data Science ExpertiseAutomation DevelopmentStatistical Programming ProficiencyTeam Leadership and Coaching

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AIMLLLMRPythonSASData GovernanceApplication DevelopmentStatistical ProgrammingAutomation
Soft Skills
Strong Communication SkillsStakeholder ManagementChange Adoption
Tools & Technologies
Cloud PlatformsValidated Computing EnvironmentsVersion ControlData ProductsAnalytical Tools
Certifications & Qualifications
MS/MSc or PhD in StatisticsComputer ScienceData ScienceBioinformaticsMathematicsClinical Informatics
Industry Keywords
PharmaceuticalBiotechnologyClinical TrialsData ScienceRegulated EnvironmentOncologyRare DiseaseNeuroscienceSpecialty-Care Clinical Development

Tech Stack

Tools & technologies
CloudPython

About the role

Key responsibilities & impact
  • Lead the AI-Programming capability within Biometry, setting strategy, roadmap, priorities, standards and operating model
  • Build and lead a specialist team of clinical data scientists, AI-programming experts and application developers
  • Oversee workforce planning, capability development, coaching, prioritization, delivery oversight and succession planning
  • Lead development and adoption of automation capabilities to improve Biometry deliverables and ways of working
  • Build and scale ML, LLM and AI-enabled analytical capabilities for clinical, statistical, programming and R&D decision-making
  • Oversee design and delivery of applications, tools and data products that improve access to and reuse of Biometry expertise, data and insights
  • Create governance for AI-enabled programming, including risk assessment, validation, documentation, version control, access control, model monitoring, lifecycle management and user training
  • Partner with Biometry, R&D, IT, Digital/Data/Analytics/AI and external providers to deliver governed, scalable solutions
  • Evaluate external tools, vendors and platforms and make buy-versus-build recommendations
  • Drive adoption through training, communities of practice, reusable playbooks, demonstrations of value and hands-on support
  • Own AI-programming roadmap, solution quality, compliance, prioritization, delivery and adoption
  • Translate complex AI, ML, LLM, application development and data engineering concepts into actionable messages for stakeholders

Requirements

What you’ll need
  • 10+ years of relevant pharmaceutical, biotechnology, technology, data science or statistical programming experience, including significant leadership experience
  • Strong understanding of clinical trials, statistical programming and clinical data science, including clinical data flow, analysis datasets, outputs and validation
  • Demonstrated experience developing or scaling automation, application development, data products, analytical tools or AI-enabled programming capabilities in a regulated environment
  • Practical knowledge of modern programming, data science and AI/ML approaches, including R, Python, SAS or equivalent environments, ML, LLMs, GenAI, responsible AI and data governance
  • Experience leading technical teams and delivery portfolios, including resourcing, prioritization, coaching, capability development, stakeholder management and change adoption
  • Strong communication skills and ability to translate technical trade-offs, risks and business value for senior stakeholders
  • Experience with clinical data standards, metadata management, validated computing environments, cloud platforms, version control or related technology platforms
  • Fluent in English, with excellent verbal and written communication skills
  • MS/MSc or PhD in statistics, computer science, data science, bioinformatics, mathematics, clinical informatics or another relevant quantitative or technical discipline
  • Preferred: experience in oncology, rare disease, neuroscience or specialty-care clinical development
  • Preferred: track record of delivering measurable productivity, quality or timeline improvements through automation, software engineering, data science or AI in a regulated setting

Benefits

Comp & perks
  • Workplace culture focused on collaboration, excellence, impact, inclusion and equal opportunities
  • Support and adjustments during the application process
  • Human-centric leadership and opportunities to grow and thrive