MRC Postdoctoral Research Scientist

£42,694 plus London allowances £5,560 per annum*

Additional allowances comprises at £1,000 lump sum settlement allowance plus a yearly Training Allowance of £850 in the first year, paid in monthly instalments. The Training Allowance increases to £1,300 in year two, and £1,800 in the third year.

3 years fixed term | Full-time |

Location:

Hammersmith London

Closing Date: 25 October 2026

Understanding how chemicals in our environment cause disease has been constrained by a fundamental lack of tools. The Tissue Biology Group is building spatial single-cell genomics technologies and high-throughput screening platforms to reveal, cell by cell, how exposures remodel tissues and drive disease. To do this, the group develops new methods for single-cell spatial multiomics, for in vitro and in vivo screening, and for the computational analysis these data demand.

We are interested in reading the history recorded in individual cells by somatic mutations and DNA methylation states that accumulate as tissues evolve. These marks can reveal how tissues are built, maintained, and repaired, and how these processes change with age, exposure, and disease. We aim to develop a technology that builds upon the Slide-tags platform (Russell et al. 2024 Nature) and is capable of reading these histories out in single cells whilst maintaining their spatial context within the original tissue.

We are looking for a talented postdoctoral scientist to lead the group's work on resolving cell lineage in situ. The post holder will develop and apply methods that recover lineage information together with spatial coordinates, and will apply them to answer questions about clonal dynamics in human tissues. This is a method-development post with deliberately broad reach. Once these measurements are established, they can be applied to address questions in development, ageing, cancer, and environmental exposure, and there will be scope to pursue those applications through collaboration.

This is a mixed wet/dry laboratory post. The successful candidate will generate their own data at the bench and take primary responsibility for its analysis, with support from the group and from the LMS core facilities in genomics, flow cytometry, light microscopy, and scientific computing.

As a newly established group, we can offer real scope to shape the direction of the project, alongside structured mentoring. We care about the kind of lab we are, not just the science we do. We look for curiosity and creativity, we work collaboratively and with mutual respect, and we want everyone in the group to grow as scientists and as people, with mentorship at every level and active support for training.

Members of the group will work with an extensive network of collaborators, be encouraged to present their work at international meetings, and to publish work that others can build on, with methods documented and shared.

• Experience in molecular biology.
• Experience in experimental genomics and/or computational analysis of high-throughput sequencing data, with demonstrable aptitude for both.
• Programming in R and/or Python for the analysis of sequencing data.
• Expertise in single-cell and/or spatial genomics library preparation is an advantage.
• Experience in DNA methylation sequencing, including low-input or single-cell approaches, is an advantage.
• Experience in microfluidics, droplet or capsule-based assay development is an advantage.
• Experience in tissue handling, cryosectioning, immunofluorescence, and FACS is an advantage.
• Knowledge of HPC environments is an advantage.
• A record of accomplishments indicating the ability to develop new methods, and…