ML / AI Scientist

Job Title:

ML / AI Scientist

Location:

Harwell, Oxford (Hybrid)

Salary:

£80,000-£100,000 + Benefits

About the Company:

Join a startup who are at the forefront of integrating artificial intelligence with biological research.

Job Overview:

Join us in our mission to revolutionise protein engineering and biological research through

the power of machine learning and language models. If you're passionate about pushing the

boundaries of AI in biotechnology, we want to hear from you.

Key Responsibilities:

• Develop and implement machine learning strategies, focusing on language models for biological data analysis and protein engineering.
• Design and execute ML pipelines for processing and analysing large-scale genomic and proteomic datasets.
• Develop novel in silico protein engineering tools, leveraging AI and language models.
• Create AI-driven platforms for protein structure prediction, function optimisation, and stability enhancement.
• Stay abreast of the latest developments in AI, computational biology, and protein engineering.
• Integrate ML solutions into our broader R&D pipeline, particularly in protein engineering projects.

Qualifications and Skills:

• Master’s or Ph.D. in Computer Science, Bioinformatics, Computational Biology, or a
• related field.
• Expertise in natural language processing, language models, and their application to
• biological data and protein sequences.
• Understanding of protein structure, function, and the principles of protein engineering.
• Proven experience in developing and deploying large-scale ML systems for protein design and optimisation.
• Programming skills, particularly in Python and R, with experience in protein modelling software.
• Familiarity with cloud computing platforms and big data technologies for handling large protein datasets.

Benefits:

• Opportunity to work at the cutting edge of AI and protein engineering, shaping the future of drug discovery and biotechnology.
• Competitive salary and equity package.
• State-of-the-art computational resources and access to cutting-edge biological datasets.
• Collaborative and innovative work environment.
• Opportunities for continued learning and professional development.
• Based at Harwell Campus, with flexible working arrangements and comprehensive benefits package.