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We are interested to connect with seasoned bioinformaticians, specializing in protein structure, to be part of our discovery technology product development team. You will be functioning within a multifunctional team, tackling issues throughout the drug discovery process incorporating target identification, molecular design, and drug repurposing. Your proficiency in structural bioinformatics will be used to create technology that merges biology and chemistry and provides decision-making insights to drug hunters. As part of the Informatics team, you will be instrumental in managing biological, chemical, and clinical data at BAI and its application to facilitate drug discovery in our technology platform.
Responsibilities:
- Lead the development of our internal protein structure analysis tools to deliver insights on druggability, binding site analysis, and molecular interactions for drug discovery applications.
- Work within a multidisciplinary team comprising of data scientists, machine learning specialists, and software engineers to create user-friendly products for drug discovery scientists that incorporate insights from protein structure, chemistry, and the wide range of data modalities integrated into the BAI platform.
- Contribute to BAI drug discovery programmes through the application of protein structure tools and products in collaboration with BAI’s cheminformatics and computational chemistry teams.
- Collaborate and communicate efficiently across product, technology, and drug discovery scientific disciplines and functions to achieve BenevolentAI strategic goals.
We are looking for:
- A PhD, or equivalent industrial experience in Bioinformatics, Biochemistry, Structural biology, Computational Sciences, or a related subject area.
- Strong and demonstrable knowledge of structural bioinformatics approaches and their application to small molecule drug discovery, and the ability to build software for that purpose.
- Proficiency in programming in at least one language (preferably python) for use in data analysis, automation, and testing.
- Innovativeness in structural bioinformatics fields of research, as demonstrated by relevant papers, presentations, or code contributions to open source projects.
- Practical experience in processing and deriving novel insights from structural biology resources, like PDB, AlphaFoldDB, SIFTS.
- Familiarity with processing and deriving novel insights from large chemical data resources is desirable e.g. ChEMBL, SureChEMBL, and PubChem.
- Knowledge and experience of product/tool development.
- Familiarity with modern software development paradigms, including containerisation with Docker, GitOps, and cloud computing.
- Excellent communicator, both verbal and written, with an ability to share knowledge and ideas between scientific and engineering disciplines.
