PpLocation: Basel Switzerland, 3 days/week in office /p h3About The Role /h3 pThe Global Head of Technology Architecture in Biomedical Research (BR) will spearhead our information technology strategy in drug discovery and early clinical development, ensuring our technologies are aligned with our objectives while promoting unity and cooperation with key internal and external partners. The role is focused on transforming our global labs into high-throughput, AI‑orchestrated environments by integrating ‘dry lab’ hypothesis generation with ‘wet lab’ robotic validation to build the ‘Self‑Driving Lab’ of the future. /p pThe leader will be a member of the Biomedical Research Data Digital Leadership Team and a matrixed member of the Data, Digital, and IT (DDIT) leadership team representing the needs of Biomedical Research. The position reports to the Chief Data Digital Officer, BR, and works closely with the Data and Digital leadership team. /p pWe are seeking an entrepreneurial and technically strong Global Head of Technology Architecture to lead the strategy, design, and evolution of next‑generation Data AI platforms and the lab of the future that supports our global biomedical research organization. /p h3Key Responsibilities /h3 ul liDeliver top‑tier research informatics to expedite the discovery of new treatments using data digital technology and enhance the user experience of our researchers. /li liEnsure the evolution of BR’s technology capabilities, underlying architecture, and drive make‑or‑buy decisions for software products and architecture in close alignment with DDIT, delivering harmonized, scalable, end‑to‑end approaches across projects. /li liLead the strategy, design, and evolution of next‑generation Data AI platforms supporting a global biomedical research organization, define a multi‑year vision and roadmap for the Research Data AI platforms, and align with scientific priorities and the digital AI strategy. /li liContribute to the creation of a global digital strategy for BR’s AI‑driven drug discovery using Data Science, (Gen) AI, and ML, and participate in key strategic cross‑divisional data and digital projects to ensure seamless compatibility of data systems across Novartis Research‑Development and Commercial units. /li liDrive the lab of the future initiative from an informatics perspective with lab equipment and automation experts from other BR functions. /li liCollaborate closely with Novartis DDIT and the BR Data Science community to devise and execute the digital and AI strategy for BR, ensuring BR is a fully AI‑enabled research organization. /li liEvaluate emerging technologies (agentic workflows, vector databases, GPU infrastructure, lab digitalization technologies, quantum computing, etc.) and translate them into practical capabilities that drive research outcomes; lead platform architecture reviews and steer technology selection. /li liProvide strategic input and vision on technologies to the President of Research and BR’s scientific leadership, acting as an advisor to top management. /li liPartner closely with DDIT functions to ensure enterprise solutions are preferentially deployed where possible and seek synergies; serve as a bridge between engineering, RD scientists, data science, and IT security/compliance and infrastructure groups. /li liGrow and lead a diverse, inclusive, high‑performing team, instill a collaborative, enterprise mindset, and develop and mentor a high‑performing, diverse team of platform engineers, software engineers, domain specialists, architects, and lab technologists. /li /ul h3Essential Requirements /h3 ul liPhD or master’s degree in computer science, data science, AI, computational biology, cheminformatics, or a related discipline. A background that spans both technology and life sciences is strongly preferred. /li li12+ years of experience in platform engineering, architecture, infrastructure, data engineering, cloud architecture, research lab technologies or ML infrastructure; with 8+ years in leadership roles. /li liStrong understanding of modern AI/ML workflows, including LLMs, model training/serving, monitoring, MLOps, and GPU infrastructure. /li liExpertise with cloud‑native architectures, microservices, APIs, Kubernetes, IaC, observability tools, and high‑performance computing. /li liFamiliarity with scientific research workflows and associated data modalities (omics, imaging, real‑world data, lab‑generated data). /li liExperience translating research and business needs into platform capabilities, and translating technical constraints into business language. /li liExtensive leadership of multidisciplinary, global teams with the ability to successfully operate in a matrixed and fast‑changing environment. /li liProven ability to influence and collaborate across scientific, technical, and business stakeholders, with senior leadership influence and exceptional stakeholder management skills. /li liExcellent interpersonal, communication presentation skills with the ability to communicate complex technical concepts to a wide audience. /li liStrong ability to navigate complexity and drive collective impact with an enterprise mindset. /li /ul h3Benefits and Rewards /h3 pLearn about all the ways we’ll help you thrive personally and professionally. /p pRead our handbook (PDF 30 MB) /p /p #J-18808-Ljbffr