Senior Scientist for Machine Learning in TCR Discovery

4 days ago


Oxford, Oxfordshire, United Kingdom Immunocore Full time £75,000 - £90,000
$150,000 - $180,000 per annum salary available for this exciting role. The Principal Scientist In Silico Biologics Design position provides world-class expertise in machine learning to drive the establishment of robust in silico methodologies integrating computational predictions with empirical laboratory data. Using our wealth of structural data combined with in-house and public domain datasets, the successful applicant will develop ML algorithms impacting drug design. Working closely with the In Silico and automation teams within Protein Engineering, you will provide scientific and technical leadership relating to machine learning, resulting in further progression of our growing pipeline of first-in-class drugs. With the successful launch of KIMMTRAK in 2022, the world's first TCR-based medicine, you will join us at an exciting time in our history, being part of a team that values innovation, trust, and collaboration. This role involves developing and assessing advanced machine learning models for novel antibody and TCR drug candidate optimisation, with a future focus on de novo drug design. Key responsibilities include extracting value from extensive in-house structural and specificity data sets, working with colleagues to identify training data from the public domain, and shaping the development of in-house data sets to support ML algorithm optimisation. Additionally, you will assist with TCR library design for multifactorial lead optimisation, integrate machine learning into TCR discovery and optimisation, promote utilisation of ML algorithms among colleagues, mentor and train others, and present research outcomes at various levels.

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