Overview
Associate Principal AI Scientist Jobs in Mississauga – Ontario at AstraZeneca
Title: Associate Principal AI Scientist
Company: AstraZeneca
Location: Mississauga – Ontario
Category: Science
Associate Principal AI Scientist Location – Mississauga (Canada)
Introduction to the opportunity:
Are you passionate about creating artificial intelligence and machine learning models, algorithms, and tools for real-world science applications? Does contributing to preventing, modifying, and even curing some of the world’s most complex diseases inspire you? Would you like to work on designing and developing an iterative drug discovery and development process while drawing on methods across various fields, from active learning to optimisation and search?
What about advancing our understanding of biology, streamlining research and development processes, and leveraging a variety of data modalities? Do you thrive working in a supportive,
inclusive
environment where creativity,
collaboration
across disciplines and lifelong learning towards
innovative
breakthroughs are encouraged? If yes, this opportunity may be for you.
Join our
interdisciplinary
Centre for Artificial Intelligence team in partnership with Biologics Engineering, which is responsible for discovering, designing, and optimising the next-generation biological drug candidates across all key therapeutic areas r work will contribute to uncovering biological insights, automating processes, streamlining decisions, and improving the overall pipeline throughout the biologics engineering value chain. Accountabilities:
• You will work efficiently in a team to deliver projects optimally using the latest AI/ML methods, approaches, and techniques, with engineering best practices and standard processes.
• You will be part of multifunctional teams, particularly with our partners from Biologics Engineering, to develop machine learning methods and tools for discovering, designing, and optimising large molecules such as antibodies with improved biological activity.
• You will analyse challenges and opportunities in the drug discovery and development value chain processes and provide
innovative solutions
in fields such as deep learning, representation learning, reinforcement learning, meta-learning, active learning approaches applied to de novo protein design, protein engineering, in-silico discovery, structural biology, computational biology, and many other areas.
• You will remain at the forefront of AI/ML research by participating in journal clubs, seminars, mentoring, personal development initiatives, and contributing to publications and academic and industry collaborations.
Essential Skills/
Experience:
• A PhD in computer science, statistics, mathematics, physics, biology or related field OR MSc and proven experience developing artificial intelligence and machine learning models.
• Experience with deep learning methods and their applications, particularly to problems in biology and chemistry.
• Knowledge of computational biology and demonstrated experience in incorporating it into machine learning models.
• Understanding of the AI/ML lifecycle, including data handling, feature engineering, model training, and optimisation.
• Ability to exploit the simplest tricks to the latest research methods to advance AI/ML capabilities while implementing them in an elegant, stable, and scalable way.
Desirable Skills/
Experience:
• Research experience demonstrated by journal and conference publications in prestigious venues (with at lea…
