Research Assistant Bioinformatics (Future Medicines Institute)
The newly funded Future Medicines Institute (FMI) will be a collaborative innovation centre developed as a focal point to enable industry, academia and health professionals to drive research and development in the Life and Health Sciences (LHS) sector. It will build upon and exploit Northern Ireland’s recognised capabilities and strengths in oncology and digital health to accelerate the development of biomarker-led products. The Institute’s vision is a partnership of Northern Ireland’s leading pharmaceutical, diagnostics and health analytics companies, alongside academic institutions and government agencies.
Job Purpose:
The Research Assistant will provide bioinformatics support for proteomics, genomics and multi-omics projects within FMI. The role will involve analysing high-throughput sequencing data, proteomics data, assisting in the development and maintenance of bioinformatics workflows, and contributing to research outputs. The post holder will work closely with computational and biology researchers in a multidisciplinary team.
About the person:
The successful candidate must have, and your application should clearly demonstrate that you meet the following essential criteria:
Hold at least a 2.1 Honours degree in a relevant medical or life sciences subject, Statistics, Computer Science, or a closely related area.
Specific, relevant research experience to include:
Experience in the analysis of genomics and proteomics data, including high-throughput sequencing (e.g., RNAseq) and proteomics workflows (e.g., mass spectrometry, protein quantification, and functional annotation).
Proficiency in programming (at least two of Perl, Python, R, and Shell scripting) for data processing and analysis of multi-omics datasets.
Experience with Open-Source software and packages, particularly those relevant to genomics and proteomics analysis, such as Bioconductor, MaxQuant, Proteome Discoverer, or equivalent tools.
Experience designing, developing, managing, and analysing methodologies, technologies, and data for next generation sequencing (NGS) and mass spectrometry-based proteomics.
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