Join us.

Machine Learning

AI Scientist

With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.

The Role

You will be responsible for developing and executing an applied research agenda around the core problems we work on at BenevolentAI, with a focus on inferring disease therapies via novel drugs.

Primary Responsibilities

  • Work as a member of a cross-functional team comprising specialists in informatics, engineering, AI, drug discovery and product. In these teams, you will apply your expertise in artificial intelligence and machine learning to develop tools for drug discovery and development in an applied research setting.
  • Develop new approaches to evaluate the performance of AI and ML models in relation to key business objectives.
  • Work with machine learning engineers to help bring research prototypes and features into BenevolentAI’s product portfolio.

Additional Responsibilities

  • Disseminate AI expertise to less experienced members of the team.
  • Promote machine learning best practices, such as; scalable training and deployment, model introspection and evaluation, new state-of-the-art implementations, etc.

We are looking for someone with

  • An advanced degree (a PhD) in computer science or a related field with a clear focus on empirical research, or equivalent experience
  • Knowledge of modern tools for ML such as Tensorflow, Pytorch, etc.
  • Experience in implementing machine learning workflows.
  • Awareness of - and passion for - the state of the art in machine learning.
  • Experience building research prototypes and developing product-worthy tools from them.
  • Enjoys working in a fast-paced, highly-collaborative environment.
  • Strong communication skills.

Nice to have

  • Experience working with knowledge graph models such as link prediction for automated reasoning from a knowledge base.
  • Experience applying machine learning techniques to genomic data such as transcriptomics or proteomics.
  • Knowledge of the pharmaceutical industry with a focus on drug discovery.
  • Some background in biology or bioinformatics.


We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey.  If that sounds like a fit for you, hit the apply button and join us.

About us

BenevolentAI unites AI with human expertise to discover new and more effective medicines. Our unique computational R&D platform spans every step of the drug discovery process, powering an in-house pipeline of over 25 drug programmes. We advance our mission to reinvent drug discovery by harnessing the power of a diverse team, rich with different backgrounds, experiences, opinions and personalities.  In our offices in London and New York and research facility in Cambridge (UK), we work in highly collaborative, multidisciplinary teams, harnessing skills across biology, chemistry, engineering, AI, machine learning, informatics, precision medicine and drug discovery.

Want to do a little more research before you apply?

Head over to our Glassdoor page to learn about our benefits, culture and to find out what our team think about life at Benevolent. You can also find out more about us on LinkedIn and Twitter.

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Important Note

Our team will only contact you from the domain @benevolent.ai. If you receive a suspicious contact request, please email hello@benevolent.ai. Thank you.