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.
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Machine Learning – Antibody Discovery Scientist (KTP Associate)
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.