Principal Scientist, e-therapeutics

• MSc or PhD in AI/Machine Learning or Computer Science
• Solid programming and software development skills in Python is essential. You should be as comfortable with modern AI/ML techniques as with software engineering practices, version control and developing scalable applications that generalise well
• Demonstrable experience in dealing with multiple large-scale disparate scientific data sets across many modalities understanding their application and limitations via deep learning, NLP, computer vision and LLMs
• Knowledge and experience of the tools, techniques, and processes of modern software development, e.g. version control, CI/CD, DevOps, and DataOps
• Excellent communication skills and ability to collaborate effectively with cross-functional teams
• Experience of cloud computing environments with a preference for AWS – containerisation (Docker), AWS services for front end development (S3, EC2, ECS, lambda, VPC, API gateway, key-value stores)

Desirable

• This position presents an exciting opportunity to innovate with machine learning and AI tools to help drive the development of more medicines to treat more patients
• We are looking for an accomplished AI engineer to make this vision happen. You will have a passion for solving challenging problems using machine learning and AI from innovative research all the way through to production
• This is a hands-on coding role that would suit an engineer that is familiar with shipping good quality pythonic algorithms but has an insatiable desire to learn more and loves working in high performing teams
• Reporting into the Director, Applied AI you will help to upskill the team in building modern machine learning applications. You’ll be right at the cutting edge, owning and designing state-of-the-art machine learning methods that will disrupt the pharmaceutical industry
• Our team is built on the principles of ownership, accountability and continuous development. Your ability and desire to learn is as important to us as what your already know
• We invest in your career and development from day one and hire for the long term. If this sounds interesting to you, we would love to chat
• Lead the development and implementation of advanced AI algorithms, with a focus on modern AI/ML techniques and Large Language Models, to enhance the Company's initiatives in Drug Discovery, siRNA Drug Design, Intellectual Property (IP) management, and Competitive Intelligence across all domains
• Translate complex business requirements into a well-defined machine learning or AI problem by acting independently while collaborating with the wider team, as needed
• Actively identify opportunities to build machine learning models, be a standard bearer for good coding practices and promote proper testing frameworks to ensure high quality outputs
• Work with bioinformaticians, computational and discovery biologists, oligonucleotide chemists and business analysts in their exploration of structured and unstructured data using and developing AI/ML tools
• Commit to shipping high quality code - early and often whilst constructing appropriate metrics to ensure your code is fit for purpose
• Learn, and be curious about, all aspects of the drug discovery process and how you can enable a rapid and efficient execution of projects