Senior Software Developer / Bioinformatician (Genome Annotation and Analysis)
Applications are invited for a Senior Software Developer/Bioinformatician to join the Core Bioinformatics Group at the Earlham Institute (EI), based in Norwich, UK.
The role:
This post will focus on developing novel computational tools and pipelines for large scale annotation of genes and other genomic features across a diverse range of species including plants, mammals, fish and protists.
This role will have responsibility for leading the development of EI's genome annotation pipelines and supporting large scale annotation / analysis projects. A key focus will be continuing the development of REAT - EI's Robust and Extendable eukaryotic Annotation Toolkit (
https://github.com/EI-CoreBioinformatics/reat), building new workflows to address specific challenges relevant to the annotation of protist and plant genomes including annotation of non-culturable protists using single cell data.
The role will develop scalable and robust methods to annotate eukaryotic species with large, repeat rich and polyploid genomes, utilising data from cutting edge sequencing technologies including PacBio IsoSeq and Nanopore.
As part of the Core Bioinformatics Group you will:
• Design and develop accurate and scalable computational pipelines for the annotation and analysis of complex eukaryotic genomes
• Continue development of existing pipelines / annotation tools
• Develop tools to support pan-genome analysis and annotation of alternative haplotypes
• Develop approaches for integrating data from a variety of sequencing technologies
• With the core bioinformatics team produce high-quality, evidence-based genome annotation of protein-coding, lncRNA and pseudogenes
• Utilise modern workflow management and containerisation systems to automate complex workflows.
• Keep up to date with modern software engineering best practices, data analysis best practices and new technologies.
• Mentor junior bioinformaticians, interns and visitors.
• Collaborate with EI faculty groups and UK and international partners on large-scale projects including DToL.
The ideal candidate:
The successful candidate will possess a PhD or equivalent experience in computational biology, bioinformatics, computer science or a similar subject. They will also have a strong background in developing computational tools / pipelines and experience of large scale data analysis.
Candidates should possess a high level of skill and demonstrable experience of building tools and pipelines in Python, along with R and Bash scripting. Familiarity with cluster compute environments and workflow management systems is also essential.
The ideal candidate will also be highly collaborative and have demonstrable experience of successfully managing their time to deliver analyses and input into multiple projects
Additional information:
Salary on appointment will be within the range £41,193 to £50,448 per annum depending on qualifications and experience. A market supplement may also apply depending on skills and experience. This is a full-time post for a contract of 3 years.
For further information and details of how to apply, please visit our website
http://jobs.earlham.ac.uk/ or contact the Human Resources team on 01603 450462 or
[email protected] quoting reference 1004177
As a Disability Confident employer, we guarantee to offer an interview to all disabled applicants who meet the essential criteria for this vacancy.
The closing date for applications will be 6 June 2022.
