Summary
About the Role
Key Responsibilities:
Design and execute translational safety data analyses spanning in silico algorithms for toxicity prediction, in vitro toxicity screening assays, in vivo animal toxicology studies, and clinical safety outcomes, applying advanced analytical methods as required, and generating high quality reports in a timely manner
• Contribute to the unification, harmonization, and integration of legacy non-clinical safety-related data.
• Investigate new algorithms or modeling strategies, identify relevant research articles, and reproduce/apply innovative methodology to generate insights related to translational safety assessment.
• Quickly learn and pilot the use of tools, data sources and analytical techniques needed to answer a wide range of critical business questions.
• Participate in cross-functional safety data science collaborations with Novartis Biomedical Research partners to support the early derisking of compounds, drug targets, and therapeutic modalities
• Deliver clear and concise presentations for audiences with different expertise• In collaboration with cross-functional partners, provide scientific and strategic input to support the early derisking of compounds, drug targets, and therapeutic modalities
• Ensure quality and compliance of data analyses and resultant reports.
Essential Requirements:
Advanced degree in a quantitative field (data science, machine learning, computer science, statistics) or life sciences, preferably with multidisciplinary background (chemoinformatics, bioinformatics, biomedical engineering, AI/ML in drug discovery or life sciences)
• PhD with 2+ years or MSc/MS/M.Pharm 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.
Desirable Requirement:
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 chemoinformatics, non-clinical ADME and/or toxicology is a plus.• Team player
• Strives for continuous learning (scientific and technical)
Commitment to Diversity & Inclusion: :
We are committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
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.
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
Why Novartis: Helping people with disease and their families takes more than innovative science. It takes a community of smart, passionate people like you. Collaborating, supporting and inspiring each other. Combining to achieve breakthroughs that change patients’ lives. Ready to create a brighter future together? https://www.novartis.com/about/strategy/people-and-culture
Join our Novartis Network: Not the right Novartis role for you? Sign up to our talent community to stay connected and learn about suitable career opportunities as soon as they come up: https://talentnetwork.novartis.com/network
Novartis is committed to building an outstanding, inclusive work environment and diverse teams' representative of the patients and communities we serve.
