Job description

Scientist - Structural and Computational Biologist

91 Park Drive, Milton Park, Oxfordshire, OX14 4RY, UK

Join a pioneering biotech with a collegial atmosphere and a passion for harnessing every individual’s unique set of skills in our fight against disease. At Immunocore, we have a vision to transform the way we understand and treat the most challenging medical conditions of our time, including cancer, autoimmune disorders and infection.

In January 2022, in the U.S., we launched the world’s first T-cell receptor therapy, built on a novel technology designed to overcome the limitations of our natural immune systems. Joining us at the most exciting time in our history, you will be part of a team that values trust and innovation, and that cherishes different ways of thinking.

Job Role:

We are looking for an enthusiastic and dedicated Scientist with knowledge in computational modelling, docking and molecular simulations of protein complexes to understand the dynamics of protein-ligand interactions. Experience in crystallisation, X-ray data collection and structure solution is advantageous.

The Scientist will join the Crystallography and Protein Engineering group within the Protein Science Research department at Immunocore. You will design structure-based protein engineering strategies, initiate new as well as support ongoing projects for publications, and collaborate with external industry and academic partners.

Immunocore has a large repository of in-house structures and you will leverage this dataset to systemically analyse and extract rules using computational tools. You will build and implement new computational biology capabilities and guide wet-lab experiments using in silico predictions of protein-protein and protein-ligand interactions.

The candidate should be flexible to adapt to the needs of challenging projects, able to work on multiple projects at the same time, interested in learning new techniques and keep abreast with current literature in the field. The candidate should be an analytical thinker, independent and team-oriented player and have excellent written and oral communication skills.

Experience and knowledge:

  • Experienced in molecular dynamics simulations of protein complexes using AMBER, NAMD or other programs
  • Protein-protein/protein-ligand docking using computational tools (e.g., MOE, Autodock)
  • Experienced in coding (e.g., Python, R)
  • Using bioinformatics tools to decipher protein structures and properties (e.g., Surface patch analysis)
  • Experienced in using molecular visualisation programs (e.g., Pymol, CCP4mg, Chimera)
  • Protein structure-guided mutational analysis for activity and binding

Desirable experience:

  • Screening crystallisation conditions and optimisation of crystals using robots
  • Experienced in X-ray data collection at synchrotron
  • Structure solution, model building, refinement, and validation of crystal structures
  • Expression and purification of recombinant proteins (bacterial and preferably mammalian expression systems)
  • Binding measurements of protein-protein/protein-ligand interactions (e.g., ITC, SPR)

Education and Qualifications:

  • Essential: PhD or equivalent in Biochemistry, Computational biology, Bioinformatics, Protein engineering, Molecular biology, or related discipline
  • Demonstrated record of scientific accomplishment as evidenced by publications and presentations at scientific conferences
  • Desirable: Relevant industrial or post-doctoral academic experience


  • We Value Entrepreneurship and Diversity
  • Competitive compensation
  • Private medical and dental benefits.
  • 25 days Annual Leave and Bank Holidays
  • 4x Salary Life Insurance
  • 5% Pension Match
  • Income Protection
  • Parental Leave

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