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Informatics
London

Lead Cheminformatics Data 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.

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The Role

We are looking for an experienced Chemoinformatics Data Scientist to apply state of the art methods to positively impact the advancement of our small molecule Drug Discovery Portfolio.

You will contribute to a high performing cross-functional team that seek to apply their knowledge to a diverse range of programmes from Target Identification through to Hit ID, Hit Expansion and Lead Optimisation.

We’ve assembled an exceptionally diverse, talented and spirited team who sincerely enjoy coming to work every single day to bring their ideas and a real passion for new technology and medicine discovery. You will work alongside recognised thought leaders at the cross-section of Machine Learning, Chemistry data and Drug Discovery.

You will apply your experience in advancing drug discovery programmes in our portfolio using your skills in computational methods developing point solutions for pressing project needs and be involved in pan-project development work that covers all drug discovery projects.

Primary Responsibilities

  • Lead the modelling work for drug discovery projects to which you are assigned in our portfolio working closely with medicinal and computational chemists, and the rest of the project team.
  • Play an integral role in efficiently and effectively transitioning projects from target identification into active drug discovery chemistry projects.
  • Develop processes and customisable workflows that can be adapted and applied across the drug discovery portfolio.
  • Collaborate and communicate effectively with members of the Chemoinformatics, Computational Chemistry, Bioinformatics, Drug Discovery, Artificial Intelligence, Data Science, Engineering, UX and Product teams to deliver BenevolentAI corporate strategic goals.

We are looking for someone with

  • PhD in Chemoinformatics, Computational Chemistry, Molecular Modelling or a closely related field.
  • A solid understanding of Chemoinformatics approaches and their application to live drug discovery projects and being able to objectively design scientifically-merited experiments.
  • Prior experience of drug discovery project support, such as implementing compound library design, QSAR, docking, virtual screening, molecular fragmentation, structure-based drug design, pharmacophore generation and analysis, or multi-parameter optimisation.
  • Strong in at least one programming language, preferably Python.
  • Strong and demonstrable programming and technical skills and familiar with open source and proprietary Chemoinformatics libraries e.g. RDKit or other leading industry toolkits.
  • Experience in commercial tools, such as those from Schrodinger, ChemAxon, and KNIME.
  • Capable of processing and deriving novel insights from large chemical data resources, e.g. ChEMBL, SureChEMBL, and PubChem.
  • Innovator of new ideas and approaches in the Chemoinformatics and Computational Chemistry fields of research, as demonstrated by appropriate papers, presentations, or code contributions to open source projects.
  • Excellent communicator, especially when working with colleagues from other specialities.

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.