Cancer Immunology Research Associate – Translational Lab

Cancer Immunology Research Associate – Translational Lab

Full-Time 35000 - 45000 £ / year (est.) No working from home possible
King’s College London

At a Glance

  • Tasks: Conduct cutting-edge research in cancer immunology and collaborate with multidisciplinary teams.
  • Company: Kings College London, a leading institution in innovative research.
  • Benefits: Opportunities for career progression and working in a dynamic research environment.
  • Other info: Join a vibrant team dedicated to advancing translational science.
  • Why this job: Make a real difference in cancer research and contribute to groundbreaking discoveries.
  • Qualifications: PhD in cancer immunology with experience in immune profiling and organoid models.

The predicted salary is between 35000 - 45000 £ per year.

Kings College London is seeking a Research Associate in Immunology in London, UK.

The role focuses on cancer immunology with responsibilities spanning experimental design, data interpretation, and hypothesis generation within multidisciplinary translational teams.

Candidates should have a Ph D in cancer immunology and strong experience in immune profiling, organoid models, and translational assays.

The appointment notes potential progression upon Ph D award to higher grades within the department.

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Cancer Immunology Research Associate – Translational Lab employer: King’s College London

King's College London is an exceptional employer, offering a vibrant work culture that prioritises diversity and inclusion. Employees benefit from professional growth opportunities, competitive remuneration, and the chance to contribute to impactful research projects in the heart of Greater London, making it a rewarding environment for those passionate about advancing knowledge and innovation.

King’s College London

Contact Details:

King’s College London Recruitment Team

We think you need these skills to ace Cancer Immunology Research Associate – Translational Lab

PhD in Cancer Immunology
Experimental Design
Data Interpretation
Hypothesis Generation
Immune Profiling
Organoid Models
Translational Assays