Job description


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.


  • Conducting bioinformatics analysis to draw insights from experimental data generated by Research teams.
  • Supporting management of analytical data.
  • Developing web apps to allow scientists to interact with data.
  • Maintaining and increasing technical knowledge in relevant fields through self-study, observation, attending relevant conferences and training courses.
  • Maintaining accurate records of all work by completing documentation on time, following Company procedures.
  • Operating in accordance with the Company’s Health and Safety policies.



  • Will be proficient in R/BioConductor, Linux OS and shell scripting bash. Proven programming ability.
  • Understanding of molecular biology, cell biology, immunology or related discipline..
  • Presented detailed scientific findings and papers to internal and external audiences.
  • Must be able to communicate on a technical level with other scientists from unrelated disciplines.
  • Self-motivated; demonstrated success in delivering assigned tasks according to timelines.
  • Ability to think outside the box and problem-solve.
  • Enjoy working in a fast-paced environment as part of a motivated team.


  • Experience of independent research in academic or industrial setting, or transferable skills gained from professional experience.
  • Background in running NGS analysis pipelines.
  • Experience in developing R Shiny apps.
  • May have experience of developing databases, using SQL or similar, and pairing with a user-friendly interface.
  • Mentored and coached less experienced colleagues in scientific practices and theory.
  • May have knowledge of machine learning, applied statistics or related field.


  • Essential: MSc. in bioinformatic related discipline with additional academic/industrial experience.
  • Desirable: PhD in related discipline.

Lead with Science and Discover What is Within:

  • We Value Entrepreneurship and Diversity
  • Respect, Trust, and Integrity
  • 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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