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About the Role
Major accountabilities:
- Develop new algorithms, methods, and implement ML models to predict compound properties
- Apply data mining to understand relationships between structure and molecular properties
- Investigate new algorithms or modeling strategies, identify research articles and reproduce/apply innovative methodology to generate insights related to discovery data
- Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions
- In collaboration with cross-functional partners, provide scientific and strategic input to support discovery and lead optimization activities
- Deliver clear and concise presentations for audiences with different expertise
Key performance indicators:
- Discoveries -Developments -Experimental methods -Adherence to Novartis policy and guidelines -Project & stakeholder feedback
Minimum Requirements:
Work Experience:
- Advanced degree in a quantitative field (data science, machine learning, computer science, statistics) or life sciences, preferably with multidisciplinary background (cheminformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences)
- PhD with 2+ years or MSc with 6+ years of relevant work experience
- Strong understanding of statistics, machine learning and deep learning
- Demonstrated knowledge of data visualization and exploratory analysis
- Knowledge of Python and machine learning/deep learning libraries such as scikit-learn, keras or pytorch
- Experience with reproducible data science tools and practices
- Previous research experience either in academia or industry
- Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language)
Desirable:
- Experience in the application of data science methods to drug discovery
- Experience with generative algorithms and explainable AI
- Expertise in ADME/PK is a plus
Languages :
- English.
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
