Novartis is driving a company-wide digital transformation to position itself as an industry leader by adopting digital technologies that accelerate drug discovery and development. The AI4R team leads Novartis Biomedical Research in applying advanced AI and ML methodologies to generate novel drug discovery insights and improve efficiency, focusing on patients’ needs. This leadership role within the AI Systems & Scale group will provide technical and project leadership for deploying compute, data, model, code, and agentic platforms to enable rapid adoption of AI approaches in biomedical research.
Tasks
- Define and lead the multi-year roadmap for scalable AI systems, platforms, and agentic architectures across research.
- Lead and scale multidisciplinary teams delivering production-grade AI systems and intelligent applications.
- Establish reference architectures for agentic systems, including orchestration, retrieval, memory, and human-in-the-loop controls.
- Build and standardize enterprise agentic platforms with reusable components, workflows, and evaluation frameworks.
- Define and enforce machine learning operations and large language model operations standards across AI systems development.
- Own agent quality and safety engineering, including guardrails, policy enforcement, and failure detection mechanisms.
- Drive scalable deployment strategies, ensuring performance, reliability, cost efficiency, and multi-tenant architecture.
- Define performance metrics linking system effectiveness to scientific outcomes, including accuracy, robustness, and efficiency.
- Partner with data, security, and platform teams to ensure governance, compliance, and responsible data usage.
- Drive cross-functional collaboration and portfolio management to prioritize high-impact AI system initiatives and reduce duplication.
Requirements
- Demonstrated experience leading machine learning capability development initiatives across multiple drug discovery domains and teams.
- Strong experience applying machine learning across functional areas such as computational chemistry or protein modeling.
- Proven expertise in large model training, including high-performance computing, cloud environments, and distributed systems.
- Deep curiosity and passion for biomedical sciences and therapeutic discovery.
- Strong ability to explain complex machine learning concepts clearly to both technical and non-technical stakeholders.
- Minimum of 10+ years of experience in innovation, development, deployment, and support of machine learning solutions.
- Strong coding proficiency in Python and deep learning frameworks, with experience using version control systems.
- Proven ability to manage complexity, align stakeholders, and deliver results in matrixed environments.
- Experience building enterprise-scale agentic platforms with orchestration, memory, and retrieval systems is desirable.
- Expertise in machine learning operations and large-scale model deployment with monitoring and drift detection is desirable.
Benefits
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities served. Novartis provides reasonable accommodation for individuals during the recruitment process and offers benefits and rewards to help employees thrive personally and professionally.
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Über uns
Das Team
The AI4R team partners with drug discovery teams, raises the level of AI expertise across Biomedical Research, and connects with AI leaders in academia and industry to ensure that science keeps up with the rapidly evolving ecosystem of AI technologies.