Robert Walters
Senior Bioinformatician - BioTech Drug Discovery
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About the Role:
You will own the scientific integrity of our computational platform's upstream data layer. Working with large longitudinal multi-omics cohorts, you will process, QC, and harmonise complex biological datasets, implement causal inference analyses, and annotate prioritised candidates with biological context. This is a hands-on role at the intersection of data quality and biological insight - your work directly determines what enters the platform and how confidently we can interpret what comes out.
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Responsibilities:
- Process, QC, and harmonise multi-omics datasets from large longitudinal cohorts
- Implement and maintain reproducible bioinformatics pipelines
- Perform longitudinal omics analyses and mixed-effects modelling
- Conduct causal inference analyses integrating molecular and genetic data
- Annotate and contextualise biological candidates using public databases
- Maintain rigorous documentation and version control across all workflows
Requirements:
- PhD or equivalent in bioinformatics, computational biology, or human genetics
- Strong Python and R skills; proficient in the Bioconductor ecosystem
- Hands-on experience with processing and QC of genetic, epigenetic, gene expression and protein data
- Experience with GWAS, mQTL, or eQTL datasets and methods
- Working knowledge of Mendelian randomisation
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