Dein persönlicher KI-Karriere-Agent
Global Head of Technology & Architecture in Biomedical Research(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 12 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML
- LLMs
- MLOps
- GPU infrastructure
- cloud-native architectures
- microservices
- APIs
- Kubernetes
- IaC
- observability tools
- high-performance computing
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Global Head of Technology & Architecture in Biomedical Research(m/w/x)
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- 12 Jahre
Ausbildung
- Doktor / Ph.D.
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- AI/ML
- LLMs
- MLOps
- GPU infrastructure
- cloud-native architectures
- microservices
- APIs
- Kubernetes
- IaC
- observability tools
- high-performance computing
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Novartis Pharma AG
Branche
Pharmaceuticals
Beschreibung
Das Unternehmen setzt sich für Vielfalt, Chancengleichheit und Inklusion ein und fördert innovative Lösungen zur Verbesserung der Patientenversorgung.
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