2x Research Fellow - Institute of Cancer and Genomic Sciences

An experienced Post-Doctoral scientist is required to conduct research within the the research group led by Ian Tomlinson, Director of the Institute of Cancer and Genomic Sciences in the Birmingham Medical School. The group works on human cancer predisposition, functional analysis of cancer genes (including animal models), and cancer evolution.

The project involves studies of human cancers, cell models and animal models to investigate the spectrum of isocitrate dehydrogenase (IDH) driver mutations found in human tumours. Those mutations produce the cancer-causing “oncometabolite” 2-hydroxyglutarate (2HG). Specifically, the project will investigate the hypothesis that different cancers have different IDH mutations because they create different levels of have levels of 2HG that are high enough to cause cancer but not so high as to be toxic. The results will have implications for the treatment of brain tumours, leukaemia and other cancer types.

The role will require a degree of flexibility, since it may involve working with cells, tissues and ‘omics data.

The post-holder will work with members of the research group and collaborators, and will also lead research projects within the group. The successful candidate will also work closely with local colleagues and collaborators in Oxford and London.

Person Specification

Essential

• A very good first degree in a relevant subject
• Be close to achieving or holding a PhD degree in a relevant subject or equivalent experience
• Experience of developing scientific techniques.
• Excellent computing skills
• Excellent data analysis skills
• Ability to work efficiently and intensively, both independently and as part of a team
• Demonstrable ability to organise and prioritise work efficiently whilst delivering results to the required standard and an agreed schedule
• Enthusiastic, proactive approach

Highly desirable

• A strong publication record in cancer genetics or evolution
• Work with animal models
• Work with cell models
• Experience in successfully presenting and explaining data to diverse groups
• Interest in scientific and medical questions