Join us.

Machine Learning

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 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.

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