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Senior Principal Cheminformatics Data Scientist
2 months ago
We are seeking a highly experienced Senior Principal Cheminformatics Data Scientist to join our Cheminformatics & Computational Chemistry team at BenevolentAI. As a key member of our team, you will play a significant leadership role in advancing our small molecule drug discovery programmes.
About the RoleThe Cheminformatics & Computational Chemistry team is a high-performing cross-functional team that applies its 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.
Key Responsibilities- 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.
We are looking for a highly experienced Senior Principal Cheminformatics Data Scientist with a PhD or equivalent in Chemoinformatics, Computational Chemistry, Molecular Modelling or a closely related field. You will have extensive experience of computer-aided drug discovery in pharma, biotech or academic drug discovery unit.
You will have detailed demonstrable knowledge of a wide range of chemoinformatics approaches and their application to live drug discovery projects, and the ability to objectively design scientifically-merited experiments.
You will have extensive practical experience of computer-aided drug design, such as compound library design, similarity and substructure searching, virtual screening, reaction enumeration, molecular fragmentation, R-group analysis and combinatorics, multi-parameter optimisation.
You will have practical experience in developing, deploying and applying machine learning and QSAR modelling techniques to chemical and biological data, and knowledge of a wide range of chemical featurisers, and a strong understanding of best practices.
You will have extensive experience processing chemical and biological data from a range of data sources, ChEMBL, SureChEMBL, and PubChem.
You will have strong and demonstrable programming and technical skills, and familiar with open source and proprietary chemoinformatics libraries RDKit or other leading industry toolkits.
You will be an 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.
You will have excellent communication and leadership skills, especially when working with junior colleagues from a range of technical and scientific backgrounds.
Desired skills include experience setting up and managing computational infrastructure for cheminformatics and computational chemistry applications, familiarity with deep learning frameworks (TensorFlow, PyTorch), and state-of-the-art ML approaches, familiarity with 3D ligand- and structural-based modelling techniques, such as docking, pharmacophore modelling, shape similarity screening, molecular dynamics simulations, water-site analysis and/or FEP analysis, and familiarity with modern software development paradigms, including containerisation with Docker, GitOps, and cloud computing on AWS with Kubernetes.
