Senior Expert I / Senior Expert II** Data Science
NovartisAbout the role
Job Description Summary
What if your data science expertise could help shape safer medicines for millions of patients worldwide? As a Senior Expert I or Senior Expert II Data Science, you will apply advanced artificial intelligence, machine learning, and computational modelling to tackle complex scientific challenges and influence critical decisions across drug discovery and early development. Working within a highly collaborative, multidisciplinary environment, you will transform diverse biological and scientific data into meaningful insights that help identify risks earlier, accelerate innovation, and support the development of life-changing medicines.
Job Description
#LI-Hybrid
Location: Cambridge, Massachusetts, United States
Relocation Support: This role is based in Cambridge, Massachusetts, United States. Novartis is unable to offer relocation support: please only apply if accessible.
Key Responsibilities
Develop innovative artificial intelligence and machine learning solutions to support critical scientific decision-making.
Build scalable data pipelines that enable efficient analysis, model development, and insight generation.
Apply advanced analytical methods to solve complex research and business challenges.
Integrate diverse datasets to uncover meaningful patterns and actionable opportunities.
Create predictive models that help identify risks and support informed decision-making.
Partner with cross-functional experts to advance project goals and drive innovation.
Ensure high standards of model quality, validation, reproducibility, and performance.
Communicate complex findings clearly to both technical and non-technical audiences.
Essential Requirements
Doctorate degree in Data Science, Machine Learning, Statistics, Bioinformatics, Computational Biology, or a related field.
Experience working with large and complex scientific, healthcare, or research datasets.
Strong programming skills using Python or a comparable programming language.
Experience building and deploying end-to-end data science and machine learning solutions.
Strong understanding of statistics, predictive modelling, validation techniques, and performance evaluation.
Experience working with databases and modern data processing technologies.
Excellent collaboration, problem-solving, and communication skills within multidisciplinary environments.
Desirable Requirements
Experience in drug discovery, toxicology, predictive safety, or pharmacology.
Experience with generative artificial intelligence, explainable artificial intelligence, graph machine learning or agentic workflows
**Appointment level Senior Expert I / Senior Expert II will be determined based on the successful candidate's experience and qualifications.
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