Full-time: 35 hours per week, 100% on campus

Fixed-term: for 20 months

The opportunity:

We are seeking a highly motivated Research Fellow to join Professor Andy Baker’s laboratory in the Institute for Neuroscience and Cardiovascular Research at the University of Edinburgh. This full-time post is funded by a British Heart Foundation (BHF) grant and will focus on the analysis of single-cell RNA sequencing (sc/snRNAseq) and spatial omics data in cardiovascular and vascular biology.

You will work within a multidisciplinary team of basic and clinician scientists, contributing to experimental design, data analysis in single-cell and spatial omics, and publication of high-impact research. The role offers excellent opportunities to contribute to high impact publications, develop specialist skills in single-cell and spatial omics, and work at the interface of computational and translational cardiovascular research.

Your Skills and Attributes for Success:

• A PhD (or equivalent experience) in bioinformatics, computational biology, biostatistics, computer science, data science or a closely related discipline.
• Proven experience in analysis of high-throughput sequencing data, ideally with a focus on single-cell/-nucleus RNAseq and/or spatial omics.
• Proficiency in R and/or Python for data analysis, with experience using relevant packages (e.g. Seurat, Bioconductor, Scanpy, Squidpy) and the Linux command line.
• Experience using high performance computing or cloud environments (e.g.SGE, AWS, University of Edinburgh infrastructure – Eddie, Eleanor).
• Experience developing and maintaining reproducible analysis pipelines, including use of version control (e.g. Git, GitHub/GitLab).
• Strong skills in data visualisation, documentation and communication, including the ability to explain complex analyses to non-computational colleagues.
• Evidence of collaborative working with experimental or clinical researchers and contribution to manuscripts or scientific outputs.