Senior AI and Machine Learning Researcher
1 month ago
BenevolentAI Group is seeking a talented AI Scientist to contribute to the development of our industry-leading AI models. Our unique computational R&D platform, combined with our in-house pipeline of drug programmes, enables us to develop new and more effective medicines. We have a diverse team of professionals from various scientific, technological, and business backgrounds, united by a shared passion for making a meaningful impact on healthcare through innovation and collaboration.
As an AI Scientist, you will perform research to develop state-of-the-art solutions around the core problems we work on at BenevolentAI Group. You will focus on methods to address crucial challenges in end-to-end drug discovery, such as using multimodal data to identify the best target to modulate in order to treat a disease, or modelling the molecular properties and structures of compounds that can modulate that target.
Key Responsibilities- Apply your expertise in machine learning to research new solutions to important problems in drug discovery.
- Work as a member of a cross-functional team to develop new capabilities and improve existing products.
- Stay up-to-date with the latest research and progress in machine learning for drug discovery.
- Collaborate with machine learning engineers to translate research prototypes into practical solutions for our products and platform.
- Follow robust software development best practices.
- Contribute to writing papers for journals and at conferences.
- Contribute to our collaborative and ambitious culture.
- Propose novel machine learning projects and research directions that can better address important challenges in drug discovery.
- Promote machine learning best practices, such as scalable training and deployment, in-depth model introspection and evaluation, and new state-of-the-art methods.
- Identify opportunities for publications.
- Represent BenevolentAI Group externally at conferences and events.
- An advanced degree in machine learning, computer science, or a related field with a clear focus on empirical research.
- Strong knowledge of modern machine learning methods and techniques.
- Strong proficiency with Python.
- Knowledge of modern tools for machine learning, including frameworks such as PyTorch.
- Experience building research prototypes and developing product-worthy tools from them.
- Strong communication skills: ability to communicate complex machine learning concepts to a broad audience.
- Ability to work independently as well as part of a team.
- Bonus points if you have experience applying machine learning in drug discovery or related fields, and/or knowledge of core problems in drug discovery and development.
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