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NONovartis Pharma AG

Global Head of Technology & Architecture in Biomedical Research(m/w/x)

Basel
Full-timeWith Home OfficeSenior
AI/ML
Data Science
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Transforming global labs into AI-orchestrated environments for drug discovery. PhD or Master's degree with 12+ years in platform engineering and 8+ years leadership required. Focus on integrating dry lab hypothesis generation with wet lab robotic validation.

Requirements

  • PhD or master’s degree in computer science, data science, AI, computational biology, cheminformatics, or related discipline
  • Background spanning technology and life sciences
  • 12+ years platform engineering, architecture, infrastructure, data engineering, cloud architecture, research lab technologies or ML infrastructure
  • 8+ years in leadership roles
  • Strong understanding of modern AI/ML workflows
  • Understanding of LLMs, model training/serving, monitoring, MLOps, and GPU infrastructure
  • Expertise with cloud-native architectures, microservices, APIs, Kubernetes, IaC, observability tools, and high-performance computing
  • Familiarity with scientific research workflows and associated data modalities
  • Experience translating research and business needs into platform capabilities
  • Experience translating technical constraints into business language
  • Extensive leadership of multidisciplinary, global team
  • Ability to operate in a matrixed and fast changing environment
  • Proven ability to influence and collaborate across scientific, technical, and business stakeholders
  • Ability to influence senior leadership
  • Exceptional stakeholder management skills
  • Excellent interpersonal skills
  • Excellent communication skills
  • Excellent presentation skills
  • Ability to communicate complex technical concepts to a wide audience
  • Strong ability to navigate complexity
  • Drive to deliver collective impact with an enterprise mindset
  • Computer Science background
  • Computer Vision background
  • Cross-Functional Teams experience
  • Data Science background
  • Data Strategy experience
  • Global Project Management experience
  • Leadership experience
  • R&D (Research And Development) experience

Tasks

  • Spearhead IT strategy in drug discovery and early clinical development
  • Align technologies with organizational objectives
  • Promote unity and cooperation with internal and external partners
  • Transform global labs into high-throughput, AI-orchestrated environments
  • Integrate dry lab hypothesis generation with wet lab robotic validation
  • Build the Self-Driving Lab of the future
  • Lead strategy, design, and evolution of next-generation Data & AI platforms
  • Define multi-year vision and roadmap for Research Data & AI Platforms
  • Ensure alignment with scientific priorities and digital AI strategy
  • Contribute to global digital strategy for AI-driven drug discovery
  • Ensure seamless compatibility of data systems across Novartis units
  • Drive lab of the future initiative from an informatics perspective
  • Collaborate with lab equipment and automation experts
  • Devise and execute digital and AI strategy for BR
  • Evaluate emerging technologies and translate into practical capabilities
  • Lead platform architecture reviews and technology selection
  • Provide strategic input on technologies to top management
  • Partner with DDIT functions to deploy enterprise solutions
  • Serve as a bridge between engineering, R&D scientists, data science, and IT security
  • Grow and lead a diverse, inclusive, high-performing team
  • Develop and mentor platform engineers, software engineers, domain specialists, and architects
  • Instill a collaborative, enterprise mindset in the team

Work Experience

  • 12 years

Education

  • Doctoral / PhD

Languages

  • English – Business Fluent

Tools & Technologies

  • AI/ML
  • LLMs
  • MLOps
  • GPU infrastructure
  • cloud-native architectures
  • microservices
  • APIs
  • Kubernetes
  • IaC
  • observability tools
  • high-performance computing
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