Location
Hammersmith, London

Hours
Full-time

Salary
£42,694 plus London allowances of £5,560 per annum*
*Additional allowances include a £1,000 lump sum settlement allowance plus a yearly Training Allowance of £850 in the first year, increasing to £1,300 in year two and £1,800 in year three, paid in monthly instalments.

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

The successful candidate will lead work on resolving cell lineage in situ by developing and applying methods that recover lineage information alongside spatial coordinates. These methods will be applied to study clonal dynamics in human tissues. This is a method-development post with broad applications in development, ageing, cancer, and environmental exposure, with opportunities for collaboration.

This is a mixed wet/dry laboratory role where the postholder will generate their own data at the bench and take primary responsibility for analysis, supported by the group and LMS core facilities in genomics, flow cytometry, light microscopy, and scientific computing. As a newly established group, there is real scope to shape the project direction with structured mentoring.

The group values curiosity, creativity, collaboration, and mutual respect, aiming to foster growth as scientists and individuals with mentorship at every level and active training support. Members will engage with an extensive network of collaborators, present at international meetings, and publish well-documented, shareable methods and data.

Key skills include experience in molecular biology, experimental genomics and/or computational analysis of high-throughput sequencing data, programming in R and/or Python, and ideally expertise in single-cell and/or spatial genomics library preparation. Additional advantageous skills include DNA methylation sequencing, microfluidics, tissue handling, cryosectioning, immunofluorescence, FACS, and HPC environment knowledge.

Experience
- Evidence of planning and carrying out research projects.
- Hands-on wet laboratory experience in molecular biology with willingness to generate data at the bench.
- Experience working with high-throughput sequencing data, either generating or analysing it.
- Desirable: Experience in single-cell or spatial genomics library preparation (e.g., 10x Genomics, Smart-seq3, PIP-seq, BD Rhapsody, 10x Visium).
- Desirable: Experience in DNA methylation sequencing, microfluidics, tissue handling, cryosectioning, immunofluorescence, live cell imaging, flow cytometry, and FACS.
- Proven experience in developing or implementing new lab techniques and contributing to scientific collaborations.

About you
- Ability to conduct reproducible research and detailed literature reviews.
- Creative problem-solving skills and persistence.
- Keen interest in learning new skills across wet and dry lab work.
- Excellent verbal and written communication skills in English.
- Ability to motivate others and work cooperatively as part of a team.
- Strong organisational skills with ability to prioritise work and meet deadlines.
- Advanced computer skills including word-processing, spreadsheets, and internet.
- Flexible attitude, discipline, confidentiality, and willingness to undertake necessary training.

Qualifications
- Essential: PhD (or equivalent experience) in genomics, molecular biology, computational biology, bioengineering, or a closely related discipline.
- Desirable: First-author publication, preprint, or manuscript in preparation for imminent submission.