Altered metabolism is one of the cancer hallmarks and offers promising opportunities for designing new therapies. We are using mouse models and metabolomics approaches to evaluate the requirement of metabolic pathways for tumours carrying specific genetic lesions. The complexity of metabolic interactions between a tumour and the rest of the body, flexibility of metabolism and inter and intra tumour heterogeneity present challenges that require the development of new approaches in order to understand how to target the altered metabolism of tumours efficiently and specifically.
Our lab uses various metabolomics approaches to evaluate the activity of metabolic pathways in vivo. We are also a part of CRUK Grant Challenge Award funded program led by National Physical Laboratory aiming to evaluate how metabolic changes are aligned with genetic profiles of tumours using mass spectrometry imaging. The post holder will be a part of the team of researchers in Mariia Yuneva’s lab and will also interact with researchers from National Physical Laboratory and other groups in the Consortium.
The successful candidate is likely to be an energetic, focused, and productive individual with a desire to work in a congenial, dynamic, and collaborative research environment. Good organisational, analytical, and communication skills are essential.
A successful candidate will use metabolic modelling and multi-omics dataset analysis to evaluate the relationship between metabolism, genetic lesions and cellular composition in mouse models, patient cancer samples and ex vivo models derived from them.
Specific objectives will include, but not be limited to:
- Perform metabolic model development, modelling and flux analysis.
- Design experiments in collaboration with wet-lab scientists and integrate experimental data including transcriptomics, proteomics, metabolomics (including stable isotope based in vitro and in vivo metabolomics) and mass spectrometry imaging.
- Regularly attend and participate in scientific meetings in Mariia Yuneva’s lab, several larger interest groups and forums at the Crick as well as Consortium meetings.
- Write and contribute to the preparation of scientific manuscripts, reports, presentations and records of experimental plans and results
- Supervise and provide technical advice to more junior members of the team when appropriate
The Francis Crick Institute is a biomedical discovery institute dedicated to understanding the fundamental biology underlying health and disease. Its work is helping to understand why disease develops and to translate discoveries into new ways to prevent, diagnose and treat illnesses such as cancer, heart disease, stroke, infections, and neurodegenerative diseases.
An independent organisation, its founding partners are the Medical Research Council (MRC), Cancer Research UK, Wellcome, UCL (University College London), Imperial College London and King’s College London.
The Crick was formed in 2015, and in 2016 it moved into a brand new state-of-the-art building in central London which brings together 1500 scientists and support staff working collaboratively across disciplines, making it the biggest biomedical research facility under a single roof in Europe.
The Francis Crick Institute will be world-class with a strong national role. Its distinctive vision for excellence includes commitments to collaboration; to developing emerging talent and exporting it the rest of the UK; to public engagement; and to helping turn discoveries into treatments as quickly as possible to improve lives and strengthen the economy.
KEY EXPERIENCE AND COMPETENCIES
The post holder should embody and demonstrate our core Crick values: Bold, Imaginative, Open, Dynamic and Collegial, in addition to the following:
- PhD or equivalent in bioinformatics or computational biology or similar, or in the final stages of completion.
- Substantial experience in metabolic modelling and flux analysis.
- Experience in integrating multi-dimensional omics data.
- Good programming skills (e.g. Java, C++, perl), experience with R/BioConductor.
- Proven track-record of research (e.g. publication record).
- Strong written and oral communication skills.
- Ability to prioritise and manage own time. Ability to multi-task and integrate the demands of different activities in parallel.
- Ability to work independently and also capable of interacting within a group.
- Metabolic modelling and flux analysis for mammalian systems.
- Experience in building databases and bioinformatics pipelines.
- Wet-lab experience.
A post holder is expected to lead their own projects, contribute to other projects on a collaborative basis (both in the lab and with external collaborators) and guide PhD students in their research. The ability to work in a team is essential.
Please note: all offers of employment are subject to successful security screening and continuous eligibility to work in the United Kingdom.