Expert Data Science

Major accountabilities:

• Apply state-of-the-art bioinformatic and data science methods to derive novel insights and progress our early drug discovery projects in collaboration with project teams.
• Enable molecular disease understanding and hypothesis generation through the integration of different genome-scale data types in close collaboration with data scientists with complementary expertise (e.g., cheminformatics, imaging analysis, protein structural informatics).
• Serve as a bridge between valuable data assets and project teams to enrich early preclinical hypothesis generation, where possible with insights translated from late-stage clinical data.
• Drive experimental design and communicate analysis outcomes to broad scientific audiences comprising both experimental and computational scientists.
• Act as a broker between biological questions from project teams and the application of appropriate computational tools to identify solutions.

Role Requirements

• Master's or PhD in bioinformatics/computational biology, or a wet-lab molecular biology degree with strong hands-on experience in analysing genomics data; alternatively, a degree in a quantitative subject (e.g., computer science, data science, mathematics, physics, chemistry) in combination with demonstrable experience in life sciences/drug discovery.
• Experience in handling genomics data, including both bulk and single cell technologies.
• Demonstrated ability to integrate data across data modalities in order to answer scientific questions, and/or to formulate new biological hypotheses.
• Hands-on experience with deep learning methods highly desirable.
• Ability to present complex data science concepts in digestible terms to diverse scientific audiences leveraging innovative data visualization.
• Strong scientific curiosity, initiative, and learning agility.
• Ability to work as part of an interdisciplinary team (i.e., biologists, chemists, data scientists), with strong communication skills.
• Expertise working in Linux high performance computing and cloud environments.
• Expertise in scripting languages, experience with Python and R scientific stacks.
• Familiarity with best practices in computational reproducible research, literate progamming (e.g., jupyter, R markdown), version control.
• Hands-on experience using major public biomedical research databases (e.g., NCBI, UniProt, OpenTargets, and others).

Why Novartis? Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Commitment to Diversity and Inclusion: Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.

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 inclusion.switzerland@novartis.com and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network