Machine Learning Scientist

3 weeks ago


Oxford, Oxfordshire, United Kingdom Immunocore Full time

Immunocore is a leading biotech company focused on delivering first-in-class biological therapies to patients. We are seeking an exceptional Principal Research Scientist In Silico Biologics Design to join our team. This role offers an exciting opportunity to apply your expertise in machine learning to drive the establishment of robust in silico methodologies, integrating computational predictions with empirical laboratory data.

You will work closely with our In Silico and automation teams within Protein Engineering to develop and deploy innovative solutions, driving the progression of our growing pipeline of first-in-class drugs. With our successful launch of KIMMTRAK, the world's first TCR-based medicine, you will be joining us at an exciting time in our history.

Key Responsibilities:

  • Develop and assess advanced machine learning models for novel antibody and TCR drug candidate optimization.
  • Utilize in-house structural and specificity data sets to extract value.
  • Drive the establishment of virtual screening tools, including protein structure prediction, affinity prediction, and pHLA specificity prediction.

Requirements:

  • Demonstrated ability to build and evaluate machine learning models.
  • At least 8 years of experience in antibody, TCR, or biologics design.
  • Proficiency with protein ML models such as AlphaFold, ESMFold, RFdiffusion, MPNN.
  • Advanced Python programming skills focusing on data science and machine learning.

Estimated Salary: £160,000 - £220,000 per annum, based on experience and qualifications. Join our innovative team and contribute to the development of life-changing medicines.



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