Data Scientist, Senior Expert I (Scientific)

Key Skills

Algorithms, Deep Learning, JavaScript, Linux Operating system, Machine learning techniques, Python Programming, PyTorch, Scikit-learn

Job Description

200! This is the number of experimental data generated every single day in the Pharmacokinetic Sciences (PKS) department at Novartis Biomedical Research on drug discovery projects. We need you to extract knowledge out of these data and help bringing drugs to our patients.

As a Data Science expert, you will join our Modeling & Simulation Data Science team in the Translational Medicine Unit and help us to unleash the power of data science for drug discovery. You will bring your curious, innovative, and collaborative mindset to make the best use of the absorption, distribution, metabolism, and excretion (ADME) data generated within our department and use state-of-the-art machine learning (ML) methods and statistical techniques to accelerate drug design.

Your responsibilities will include, but are not limited to:

• 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.

Diversity & Inclusion / EEO

We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Role Requirements

• 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)
• 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