Bioinformatic Analyst at University of Birmingham

The Bioinformatic Analyst will be supervised by Professor Oo to support the analysis of bioinformatic data sets within the group for different types of human liver maps.

Role Summary

• We are looking for a candidate who has obtained a Bachelor’s degree in biomedical science/engineering. Graduation with honours degree is desirable and an MSc in Bioinformatics is highly desirable. 
• Candidate will provide constructing liver maps with a solid foundation in medical science biology and good experience in implementing computational algorithms to analyse genomic and clinical datasets.
• The candidate will work within the team to support Sir Jules Thorn and Whitney Wood’s research projects and liver map in chronic liver diseases and liver transplantation.
• The candidate should have experience in single-cell RNA-seq and single-cell ATAC seq datasets analytical skills as part of research projects. Bulk RNA-seq dataset and spatial transcriptome data interpretation is essential.
• The candidate will analyse and interpret research findings and results which contribute to high impact publications.

Main Duties

• Design and conduct bioinformatic data analysis pipelines under the guidance of the research supervisor and collaborators to test the project hypotheses and complete project aims
• Analyse research data as directed
• Present research outputs, including drafting academic publications or parts thereof, for example at seminars and as posters
• Develop or adapt techniques, models and methods
• Provide guidance as required to support staff and any students who may be assisting with research
• Deal with problems that may affect the achievement of research objectives and deadlines
• Carry out administrative tasks related directly to the delivery of the research
• Promotes equality and values diversity acting as a role model and fostering an inclusive working culture

Person Specification

• Bachelor’s degree with bioinformatic skills
• Practical experience of applying the single cells, spatial transcriptome skills and techniques
• Demonstrate knowledge of bioinformatics resources such as annotation tools and databases
• Demonstrate proficiency in R/BioConductor, High Level (e.g. python) programming languages, Databases (SQL), development and maintaining code repositories (version control)
• Demonstrate Linux expertise including file systems, shell, hardware/software monitoring etc.
• Expertise coding in R and Python, especially working with libraries and packages useful for bioinformatics such as the Bioconductor package. Previous experience with WGCNA package for finding gene correlation maps from RNA seq datasets and familiar to apply ClusterProfiler and GSEA libraries to perform functional enrichment analyses
• Demonstrate an understanding of practical applications of bioinformatics
• Ability to analyse information and communicate effectively
• Familiar working with bioinformatic databases and tools such as NCBI Blast, UCSC Genome Browser, ENSEMBL Genome Browser, Gene Ontology databases, UniProt etc.
• Team player
• Ability to access and organise resources successfully

Informal enquires can be made to Lisa Powell, email: l.h.powell@bham.ac.uk

To download the full job description and details of this position and submit an electronic application online please click on the Apply button above.

Valuing excellence, sustaining investment
We value diversity and inclusion at the University of Birmingham and welcome applications from all sections of the community and are open to discussions around all forms of flexible working