Machine Learning Intern

This job is with Novartis, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Summary

Machine learning / Data science internship to work with predictive modeling and uncertainty estimation in the context of molecular property prediction and cheminformatics.

About the Role

Duration : 6 months

Start : as soon as possible

Location : Campus Basel

Major accountabilities :

• Develop ML models for compound property predictions
• Implement, apply and benchmark uncertainty estimation methods for ML models
• Work in a multidisciplinary environment
• Present project outcomes to technical and non-technical audiences

Minimum Requirements :

MSc in a quantitative field or life sciences, preferably with multidisciplinary background (cheminformatics, bioinformatics, biomedical data science)

Strong understanding of statistics and experience with machine learning / deep learning

Expert knowledge of Python

Experience with reproducible data science tools and practices

Excellent communication skills and ability to translate analytical concepts for diverse audience and stakeholders (English is our primary language)

Desired :

Previous research experience either in academia or industry

Experience with uncertainty quantification

Knowledge of explainable AI

Skills :

Python

Statistics, machine learning, deep learning, predictive modeling

Languages :

English

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 in order to receive more detailed information about the essential functions of a position, please send an e-mail to [email protected], and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

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