AI Scientist
Novartis Group Companies | |
United States, New Jersey, East Hanover | |
1 Health Plaza (Show on map) | |
Nov 04, 2025 | |
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Job Description Summary #LI-HybridLocation: Basel, Switzerland or Cambridge, US. The Oncology Data Science team in Novartis Biomedical Research (NBR) provides computational biology, AI and data engineering expertise to the Oncology Disease Area across a wide and unique range of novel therapeutics spanning many different drug modalities. Our mission is to harness the transformative power of data and AI to accelerate the development of innovative and transformative medicines for oncology patients worldwide. We are seeking an enthusiastic AI/ML scientist with curiosity about pre-clinical and clinical drug development to help us accelerate our ground-breaking oncology drug discovery programs. You will join the Oncology Data Science team at NBR Oncology, an outstanding collaborative environment with supportive and enthusiastic colleagues who will help your AI models achieve real-world impact. Job Description Key responsibilities:
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Commitment to Diversity & Inclusion: We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. Benefits and rewards: Read our handbook to learn about all the ways we'll help you thrive personally and professionally: https://www.novartis.com/careers/benefits-rewards 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 in order to receive more detailed information about the essential functions of a position, please send an e-mail to diversity.inclusion_ch@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message. Skills Desired Biostatistics, Computer Programming, Data Analysis, Databases, Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis | |
Nov 04, 2025