Machine Learning Intern

Job Description Summary

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

 

Job Description

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 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