ONE Global Discovery Chemistry Community working across 7 disease areas at the Novartis Institutes for BioMedical Research (NIBR) is seeking a highly talented and motivated Data Scientist to join our Global Discovery Chemistry Department in Cambridge, MA. The successful candidate will join an energizing and collaborative research organization, working alongside colleagues who are committed to improving human health through the discovery of transformative medicines.
We are seeking a unique data scientist with the skills, experience and passion to extract new knowledge and disruptive insights from the large and rich body of data collected by one of the world's leading pharmaceutical companies. You will be a member of our global Computer-Aided Drug Discovery (CADD) group, an interdisciplinary team of expert molecular modelers, cheminformaticians, and data scientists. Teamed up with domain experts from biology, chemistry and translational medicine, this is a unique opportunity to develop and apply cutting-edge machine learning technologies to uncover insights to real-world drug discovery problems and innovate paths to new medicines.
Your responsibilities include:
Develop and implement methods for extracting patterns and correlations from both internal and external data sources using machine learning toolkits
Develop workflows for conducting comparative analysis among Novartis' diverse data sources as well as generalizing approaches developed in-house or externally.
Enable open-source solutions for internal use and implement cutting-edge published scientific methods.
Develop customized machine learning solutions including data querying and knowledge extraction.
Interact and be part of interdisciplinary project teams to drive effective decision-making by mining and developing predictive models
Develop new skills in the area of cheminformatics and drug discovery and leverage those to accelerate development of new machine learning algorithms
Keep ahead of scientific literature and interact with internal and external scientists to integrate novel data science technologies
Advanced degree (M.Sc. or higher) in data science and machine learning, statistics, computer sciences, cheminformatics, mathematics, computational chemistry, computational biology, bioinformatics, or related field.
Minimum experience & skills:
In-depth experience with modern and classical machine learning methods
Strong statistical foundation with broad knowledge of supervised and unsupervised techniques
Programming experience (preferred Python, R, C++) preferably in Linux and high-performance computing environments
Good listener - strong, concise, and consistent written and oral communication
Talent for communicating stories through data visualizations
Proven ability to collaborate with others
A passion for tackling challenging problems and developing creative solutions
A drive for self-development with a focus on scientific know-how
Additional qualifications that will help in the role:
Demonstrated impact using machine learning libraries, such as scikit-learn, PyTorch or similar in a cheminformatics context
Hands on experience with data analysis software such as Spotfire, R-shiny or similar
Working experience with open-source cheminformatics toolkits such as RDKit
Working experience with source-code management systems such as Git/github/bitbucket
Familiar with the foundational concepts in molecular biology, pharmacology or medicine. Working knowledge of medicinal chemistry and drug discovery is a plus
Why consider Novartis?
750 million. That's how many lives our products touch. 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.
We are Novartis. Join us and help us reimagine medicine.