We are seeking an experienced Bioinformatician to help lead the computational side of a new, growing group.
The Crossley research group (https://www.cruk.cam.ac.uk/research-groups/crossley-group/) studies RNA-DNA hybrid molecules called R-loops how they are dysregulated in human disease, drive genome instability and inflammation, and how these molecules and cellular responses to them can be harnessed for cancer detection and treatment. We use biochemical, imaging and genomics approaches to study molecular mechanisms underlying R-loop biology and their clinical applications. The successful individual will lead computational projects, build data analysis pipelines and collaborate with and mentor group members. The work will focus mainly on the analysis of large-scale genomics datasets, mainly RNA-DNA hybrid sequencing (cellular and extracellular) and RNA/ChIP/ATAC-seq, to support our discovery and translational research. A deep understanding of biological principles is essential, to generate hypotheses and mechanistic insight from our data.
The successful individual will have a Master's or PhD in Bioinformatics (or related field) and extensive experience, including a variety of programming languages and platforms, analysis of genomics datasets in an academic setting, and a robust understanding of statistics. Strong critical thinking and independence is required, to work with first-in-class sequencing data from RNA-DNA hybrids from biological and clinical samples, and to help develop new hybrid sequencing methods (e.g. single-cell and long-read).
As the bioinformatics lead of a new research group, a willingness and ability to set up robust bioinformatics codebases, including version control and reproducible analysis pipelines, is essential. Experience with building upon existing open-source solutions is highly desirable. The successful candidate will work collaboratively with Dr. Crossley and other group members who will generate sequencing data, and lead interactions with computational and AI scientists and bioinformaticians in other research groups, and the bioinformatics core facility. With recent long-term funding awarded, the group will be expanding and the successful candidate will have the potential to gain seniority and leadership experience.