Senior Principal Cheminformatics Data Scientist

at  BenevolentAI

We are looking for a highly experienced Senior Principal Cheminformatics Data Scientist, with a keen interest in small molecule drug design, to join our Cheminformatics & Computational Chemistry team and lead a team of Cheminformaticians.
The Cheminformatics & Computational Chemistry team is a high performing cross-functional team that seeks to apply their knowledge to a diverse range of programmes from Target Identification through Hit ID, Hit Expansion and Lead Optimisation. Our role is to aid the advancement of our small molecule Drug Discovery programmes by devising computational solutions to project-specific challenges and applying new and existing technologies to support the needs of our wider portfolio.
As a Senior Principal Cheminformatics Data Scientist you will have a significant leadership role within the team. You will utilise your extensive experience in cheminformatics, data analysis and computational modelling techniques including machine learning to advance our small molecule drug discovery programmes. You will work closely with medicinal and computational chemists to develop data and modelling pipelines, identify and apply innovative technologies, and employ state of the art computer-aided drug design techniques.

• Lead the cheminformatics and computational modelling support for multiple drug discovery projects, working closely with medicinal and computational chemists, and the rest of the project team.
• Work with the team to identify and develop innovative approaches to expand our cheminformatics capabilities, and drive the long-term strategic thinking of the team
• Apply a wide range of computer-aided drug design techniques to identify and develop small molecules, including virtual screening, reaction and fragment enumeration, de novo design, and chemical library design and sampling.
• Gather, analyse and report on biochemical data from a range of data sources to derive novel insights into SAR and SPR, including the manipulation and analysis of biochemical data at scale.
• Build, evaluate and deliver QSAR models to advance our small molecule Drug Discovery programmes, and to support their use by project teams.
• Develop processes, customisable workflows and computational techniques that can be adapted and applied across the drug discovery portfolio.
• Act as the key domain expert for cheminformatics and the handling of biochemical data, and consult with scientific and engineering teams from across BenevolentAI.
• Collaborate and communicate effectively with members of the Chemoinformatics, Computational Chemistry, Bioinformatics, Drug Discovery, Artificial Intelligence, Engineering and Product teams.
• Line-manage a portion of the team, defining and monitoring their individual goals, in line with company and department objectives, and conduct performance reviews.
• Nurture talent at BenevolentAI by supporting junior members of the team in their working, sharing your experience and providing a mentoring role.