Join us.


Lead AI Scientist

The Company

BenevolentAI unites technology with human intelligence to re-engineer drug discovery and deliver life-changing medicines. We have developed the Benevolent Platform®, a drug discovery platform built on powerful data foundations with state of the art machine learning and AI technology. Our technology empowers scientists to decipher the vast and complex code underlying human biology, find new ways to treat disease and personalise medicines to patients. Benevolent has active in-house R&D drug programmes in disease areas such as neurodegeneration, immunology, oncology and inflammation and has research and commercial collaborations with leading pharmaceutical and research organisations. The company is headquartered in London with a research facility in Cambridge (UK) and a further office in New York.

Who we are

We are an eclectic bunch at Benevolent, united by our belief that innovative thinking and purposeful technology can truly change outcomes for the better. Our mission is to re-engineer drug discovery and deliver life-changing medicines for patients in need and we do this by applying AI, machine learning and other advanced technologies to reinvent the ways drugs are discovered and developed. We strive to bring together unique skills and perspectives across biology, chemistry, engineering, AI research, informatics, precision medicine and drug discovery.

The Role

You will be responsible for developing and executing a research and development agenda around the core problems we work on at BenevolentAI - scientific discovery from structured and unstructured data sources. You will be part of the cross-functional Knowledge team and report to the Head of AI.

Primary Responsibilities

Primary responsibilities

  • Contribute to the AI strategy of the NLP team
  • Identify and develop state-of-the-art AI / ML methods which bring value to our knowledge extraction and information retrieval pipelines
  • Define research directions to improve AI / ML methods as applied to drug discovery, and deliver that applied research alongside your team
  • Measure and communicate the value of developed methods for audiences of differing technical ability
  • Promote machine learning best practices, such as: scalable training and deployment, model introspection and evaluation, new state-of-the-art implementations, data quality investigations, etc.
  • Work as a hands-on member of a cross-functional team comprising specialists in NLP, knowledge representation, engineering, AI, bioinformatics, drug discovery, and product. In these teams, you will apply the latest advances in machine learning to develop tools for drug discovery and development.

Additional Responsibilities

  • Disseminate your AI / ML expertise to more junior members
  • Nurture technical excellence and maintain high-caliber expectations for your team
  • Share your research with the wider community via talks and publications
  • Identify and protect intellectual property

We are looking for someone with

We’re looking for someone with

Please apply if you have any combination of these skills:

  • PhD with a strong Machine Learning component
  • At least 2 years of industry experience
  • Experience in the biomedical domain
  • A background including NLP (ideally information extraction)
  • Proven examples in delivering projects with business value
  • An ability to develop a multi-year research vision and to deliver against that vision
  • Experience as a team lead and in establishing best practices
  • Proficiency in modern ML frameworks (pytorch, tensorflow, etc.)

Together, we envision a world in which no disease goes untreated. If you are benevolent, curious, want to tackle real world problems and are willing to embrace new ideas, hit that ‘apply’ button and join us.

Important Note

It has come to our attention that unfortunately fraudsters have been falsely offering jobs and set-up fake interviews under the guise of being a Benevolent recruiter. We therefore advise you to be very stringent about who is reaching out to you. Any enquiry from our team will only be made via the email or an email from this domain Please flag any suspicious contact request to