Do you want to help us improve human health and understand life on Earth? Make your mark by shaping the future to enable or deliver life-changing science to solve some of humanity’s greatest challenges.

The Vento group is seeking a highly motivated staff scientist to lead histological and spatial transcriptomics wet lab work on a fixed-term basis. You will lead sample preparation and processing for the group's histology and spatial transcriptomics pipelines, and will have the opportunity to be embedded in a group studying human development using some of the rarest and most valuable tissue available for this kind of work, with access to world-leading experimental and image-analysis facilities at the Institute.

About the team:

The Vento group studies human development and disease at single-cell and spatial resolution, working with rare, irreplaceable human tissue and in vitro systems to build detailed maps of how organs and immune systems form and function. Histology and spatial transcriptomics sit at the centre of that work, turning tissue sections into data that shapes the group's biological questions.

You'll work alongside the Group Leader, the Senior Staff Scientist, research assistants, and the wider Vento group, as well as Sanger's operations teams and Cellular Genetics' support teams and external collaborators across the Faculty.

What you'll be doing:

You will lead the daily laboratory work of sample preparation and processing for histology and spatial transcriptomic pipelines, coordinating closely with the Vento team and providing histological expertise across Institute-wide projects. You will provide image analysis using advanced analysis tools and software, and will help set project targets and oversee experimental and image analysis work. You will train team members in sample processing methods — including fixation, embedding, and sectioning — and will help review and optimise SOPs and risk assessments. You will contribute to the supervision and scientific direction of PhD students and postdocs on topics relating to histology, pathology, and image analysis, and will contribute to the publication of data in relevant scientific journals.