About this role
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.