University of Nottingham is inviting applications for a Machine Learning – Antibody Discovery Scientist to join an exciting collaboration with Isogenica. As an enthusiastic graduate, this is a career-development opportunity to manage a Knowledge Transfer Partnership (KTP). The role will be fully supported by the University, delivering a high-profile and commercially strategic project. Based at Isogenica in Little Chesterford, Essex, the candidate will have a unique opportunity to lead the delivery of this multi-disciplinary project to develop Machine Learning tools that will be embedded into the workflow of high quality antibody generation at Isogenica.

The ideal candidate will hold a postgraduate degree, or PhD (or near to completion) in Biology or related discipline. Experience in bio-informatics, immunology, antibody generation, protein engineering and Machine Learning applied to medicine or life sciences, gained from your work in a similar or related role within an industrial, scientific or research environment would be advantageous. Through the KTP, you will receive full support and mentoring to nurture your talent.

For further information contact: yordan.raykov@nottingham.ac.uk

Machine Learning – Antibody Discovery Scientist (KTP Associate)
(Fixed term)
Reference: SCI475721X1
Closing Date: Friday, 11th February 2022
Job Type: Research
Department: Mathematical Sciences
Salary: £30,000 to £35,000 per annum depending on skills, qualifications and experience.
Plus budget for training and CPD.
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