Role OverviewThe Oncology Data Science team in Biomedical Research at Novartis works at the intersection of oncology drug discovery, computational biology, AI/ML, and data engineering. We are seeking an enthusiastic AI/ML scientist with strong curiosity for AI-driven drug discovery to join the AI & Innovation team.
What You Will Do
Design, develop, and apply advanced AI approaches to extract actionable insights from pre-clinical, clinical, and real-world evidence datasets.
Why It Might Be a Fit
The ideal candidate will have a strong background in machine learning, excellent programming skills, and experience working with omics data and oncology drug development.
Requirements
- Ph.D. in Machine Learning, Computer Science, Applied Mathematics, Computational Biology or related field.
- Strong experience in one or more of the following areas: generative AI, biomedical foundation models, geometric deep learning, multi-modal learning, and large-scale knowledge graphs.
- Excellent programming skills and proficiency in deep learning frameworks such as PyTorch, with openness to learning new tools and technologies.
- Practical experience across ML and LLM software stack, including feature engineering, model development, deployment, and validation.
- Prior experience working with omics data and familiarity with oncology drug development.
- Excellent communication skills, with the ability to communicate complex data insights and recommendations to cross-functional teams and stakeholders.
- Demonstrated strong research skills, evidenced by publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals.
Benefits
- Insurance plans
- Retirement plans
- Wellbeing resources
- Global recognition programs
- Flexible and hybrid working options
- Minimum of 14 weeks paid parental leave
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