Cancer Vaccine Epitope Discovery AI Research Assistant

University of Oxford; Oxford; Presencial; GBP 36.000 - 42.000; Jornada completa

Descripción de la vacante

University of Oxford seeks a Research Assistant (AI Scientist & Computational Cancer Biology) to support cancer vaccine epitope discovery and prospective mRNA vaccine manufacturing within a national flagship project. The role bridges immunology, AI, and lab automation, working closely with experts across disciplines.

The post contributes to AI-led target discovery, experimental validation, and data analysis, with opportunities to shape innovative approaches in personalised cancer vaccines.

Formación

• Degree in immunology, biomedical sciences, molecular biology, biochemistry, cancer biology or related discipline.
• Experience analysing large-scale biological/genomic datasets using computational methods.
• Practical laboratory experience with techniques such as mammalian cell culture, immunological assays, flow cytometry, sequencing or related methods.

Responsabilidades

• Provide experimental research support for cancer vaccine epitope discovery and future mRNA vaccine manufacturing.
• Conduct computational analyses and evaluate AI models and scientific agents in cancer vaccine research.
• Collaborate with immunologists, computational scientists and AI researchers; contribute to project planning and data analysis.
• Manage own research and administrative activities within guidelines; contribute to outputs and collaborative research.

Conocimientos

Immunology

Computational biology

AI models

Educación

Immunology or related field

Herramientas

Open-source AI models

Agentic coding tools

Descripción del empleo

University of Oxford seeks a Research Assistant (AI Scientist & Computational Cancer Biology) to support cancer vaccine epitope discovery and prospective mRNA vaccine manufacturing within a national flagship project. The role bridges immunology, AI, and lab automation, working closely with experts across disciplines.

The post contributes to AI-led target discovery, experimental validation, and data analysis, with opportunities to shape innovative approaches in personalised cancer vaccines.