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Deep Learning and Imaging Analytics Data Scientist (80-100%)* in Basel
Die Nocartis AG hat seinen Sitz in Basel und ist eines der grössten Pharmaunternehmen der Welt!
Deep Learning and Imaging Analytics Data Scientist (80-100%)*
Job Description 250! That’s the number of data scientists leading a digital revolution at the Novartis Institutes for BioMedical Research. This is an exciting opportunity at the intersection of data scientist and drug discovery, in the Chemical Biology & Therapeutics Data Science group. The incumbent will be a highly motivated data scientist to drive deep learning innovation and application to enable and accelerate early drug discovery pipelines. As the deep learning and computer vision expert the incumbent will develop and evaluate state-of-the-art methods, apply to internal biomedical imaging data, communicate with the project teams of biologists and chemists, and impact early drug discovery. The immediate team is a global Data Science group with diverse and world-class expertise in bioinformatics, computational biology, imaging analytics, data engineering, and deep learning. The team is also fully integrated with Novartis communities of data scientists, IT professionals and experimental scientists with the single mission of drug hunting. We have a unique culture combining the best of academia and industry. With the freedom of academic research and innovation, as well as the mandate for drug discovery, we are encouraged to openly publish and share with the science community, and have access to the wealth of Novartis internal data and expertise. Personal talent and career development is highly valued and well supported. Depending on individual experience and interest, the incumbent will have opportunities for internal/external courses and trainings, internal/external conferences and workshops, mentoring postdocs and students, managing multidisciplinary projects and coaching junior data scientists.
Your responsibilities • Innovate and benchmark deep learning methodology for early drug discovery • Apply deep learning and imaging analytics methods to impact NIBR drug discovery projects • Collaborate with and lead multidisciplinary teams of biologists, chemists, bioinformaticians and IT developers • Champion deep learning and artificial intelligence initiatives • Mentor junior data scientists and engage the broader Data Science community • Present to internal and external collaborators and partners
Minimum requirementsWhat you bring to the role:
• Master degree in a quantitative science field, such as Mathematics, Computer Science and Bioinformatics • Extensive experience in developing deep learning methods, particularly for biomedical imaging data • Excellent programming skills • Proficiency in written and oral English
Desirable requirements: • PhD degree or equivalent years of experience in a quantitative science field • A publication track record of machine learning / deep learning innovation and application • Experience with high performance cluster or cloud computing
Why consider Novartis?
799 million. That’s how many lives our products touched in 2019. And while we’re proud of that fact, in this world of digital and technological transformation, we must also ask ourselves this: how can we continue to improve and extend even more people’s lives?
We believe the answers are found when curious, courageous and collaborative people like you are brought together in an inspiring environment. Where you’re given opportunities to explore the power of digital and data. Where you’re empowered to risk failure by taking smart risks, and where you’re surrounded by people who share your determination to tackle the world’s toughest medical challenges.
Imagine what you could do at Novartis!
Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration, and empowers our people to unleash their full potential.
*Some restrictions on flexible working options may apply and will be discussed during interview if applicable.
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