Join us.


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 agenda around the core problems we work on at BenevolentAI - scientific discovery from structured and unstructured data sources.

BenevolentAI is committed to growing diverse and inclusive teams. We welcome you to apply if the job description as a whole appeals, even if there are specific areas where you don’t have previous experience!

Primary Responsibilities

  • Bring expertise in the application of artificial intelligence to real-world problems in drug discovery and development
  • Promote machine learning best practices, such as: scalable training and deployment, model introspection and evaluation, new state-of-the-art implementations, etc.
  • 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 the latest advances in machine learning to develop tools for drug discovery and development.
  • Define the analytical and technical problems in applying artificial intelligence and machine learning to develop new solutions and deliver applied research within your team, and to influence an empirical approach across the company

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 implementing machine learning workflows.
  • Awareness of and passion for the state of the art in machine learning.
Preferred (not required) qualifications
  • Experience building research prototypes and developing product-worthy tools from them.
  • Experience with relevant research applying modern machine learning and artificial intelligence techniques to biological data (e.g., genomics, transcriptomics, epigenomics, proteomics, etc.) or clinical data (e.g., electronic health records).
  • Experience with the development and evaluation of methods for biomedical knowledge base construction and machine reading.
  • Experience with automated reasoning from a knowledge base, including graph inference algorithms and knowledge base completion.
  • Knowledge of the pharmaceutical industry, ideally with a focus on drug discovery.

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