BenevolentAI is seeking to hire a talented AI Scientist to contribute to the development of our industry-leading AI models. At BenevolentAI, we harness the power of artificial intelligence (AI) and human expertise to revolutionise the field of drug discovery. Our unique computational R&D platform, combined with our in-house pipeline of drug programmes, enables us to develop new and more effective medicines. With offices in London and a state-of-the-art research facility in Cambridge (UK), we have cultivated a diverse team of professionals from various scientific, technological, and business backgrounds. Our team is 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. In particular, you will focus on methods to address crucial challenges in end-to-end drug discovery, for example, 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.

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 comprising specialists in informatics, engineering, AI and drug discovery to develop new capabilities and improve existing products.
• Keep up-to-date with the latest research and progress in machine learning for drug discovery.
• Work with machine learning engineers to help translate research prototypes into  practical solutions for BenevolentAI’s products and platform.
• Follow robust software development best practices.
• Contribute to writing papers for journals and at conferences.
• Contribute to our thoughtful, collaborative, and ambitious culture.

Experienced candidates will also take on the following responsibilties:

• 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, new state-of-the-art methods, and so on.
• Identify opportunities for publications.
• Represent BenevolentAI externally at conferences and events.
• Mentor more junior scientists and engineers in the AI team, and encourage them in their learning and development.
• Take on line management responsibilities.

We are looking for:

• An advanced degree (Masters or PhD) 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 (e.g. transformers, LLMs, GNNs, etc.)
• 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.