Associate Director and Senior Principal, AI Methods, AI for Research (AI4R)

Das ist der Job

Associate Director and Senior Principal, AI Methods, AI for Research (AI4R) Location: Basel, Switzerland.

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Key Responsibilities Lead matrixed teams to design and deliver robust, scalable machine learning solutions for drug discovery Drive development of core machine learning capabilities across priority AI use cases in biomedical research Identify opportunities for methodological innovation across the end‑to‑end drug discovery pipeline Build advanced algorithms, models, and workflows to accelerate therapeutic discovery and development Establish and manage strategic collaborations with leading academic and external research partners Act as subject matter expert on state‑of‑the‑art machine learning approaches across research domains Translate complex model outputs into actionable scientific hypotheses and guide experimental design Define and implement meaningful success metrics for AI models to ensure measurable research impact Collaborate across multidisciplinary teams to align AI solutions with scientific and business objectives Promote awareness and adoption of advanced AI methods within the broader research organization Essential Requirements 6+ years of experience in developing and deploying machine learning solutions across drug discovery domains Hands‑on expertise applying machine learning to target identification, protein modelling, or translational research Strong experience with large‑scale model training, high performance computing, and cloud‑based infrastructure Advanced knowledge of modern machine learning methods such as representation learning or neural network architectures Proficiency in Python and deep learning frameworks, with strong software development and version control practices Demonstrated ability to drive innovation and deliver impactful machine learning solutions in complex, matrixed environments Desirable Requirements Demonstrated contributions through publications, patents, or open‑source projects in advanced machine learning research Experience with multimodal or foundation models applied to biomedical data such as imaging, genomics, or molecular structures Rewards We offer competitive benefits such as insurance plans, retirement plans, wellbeing resources and global recognition programs.

Diversity and Inclusion / EEO Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Relocation Support: Novartis is unable to offer relocation support; please only apply if you are able to work in Basel.

Shape the future of drug discovery through cutting‑edge artificial intelligence. As a leader in the AI Methods group within AI for Research (AI4R), you will drive the development of advanced machine learning approaches that unlock new insights across the biomedical research pipeline.

From identifying novel therapeutic targets to accelerating clinical translation, your work will directly contribute to delivering innovative medicines faster. Flexible and hybrid working options, where possible, and a minimum of 14 weeks paid parental leave are also provided.

Salary Expected Annual Base Salary Range (Basel): 129,500.00 - 240,500.00 CHF. Salary is determined based on gender‑neutral objectives, such as relevant skills, competencies and experience in accordance with the Novartis pay setting policy and will be reviewed periodically.

You may be eligible for a performance‑based bonus depending on certain performance parameters. Accessibility and Accommodation Novartis is committed to working with and providing reasonable accommodation to all individuals.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or to receive more detailed information about the essential functions of a position, please email inclusion.switzerland@novartis.com and share the nature of your request along with your contact information.

Please include the job requisition number in your message. #J-18808-Ljbffr