Research Assistant​/Associate​/Fellow; MED

Overview

Applications are invited for an experienced bioinformatician to join the Deep Seq facility, where you will take responsibility for the analysis and interpretation of Next Generation Sequencing (NGS) datasets generated on a range of cutting-edge platforms. The successful candidate will provide expert analytical support and advice to facility users, helping them to extract maximum biological insight from their data. This will require effective communication with researchers from diverse backgrounds and the ability to translate between biological questions and computational analysis.

• Plan and conduct analyses using available tools; adapt existing methodologies and scripts; design new pipelines and workflows that deliver accurate, reproducible, and timely results.
• Prepare analysis reports, user summaries, and contribute to publications.
• Support and advise facility users to extract biological insights from NGS data.
• Manage and optimise dedicated servers and HPC resources for data processing (leading role in their management).
• Communicate findings clearly to researchers and collaborators with diverse backgrounds.

• PhD (or near completion), MSc in Bioinformatics, or equivalent professional experience in bioinformatics, computational biology, or a related field.
• Proficiency with Linux operating systems; ability to analyse and interpret large datasets and apply critical evaluation to current methodologies.
• Strong programming skills in at least one scripting/programming language (e.g. Python, R, Perl, Nextflow, C++, or Java).
• Experience in areas such as database management, sequence alignment and assembly, variant and methylation calling, RNA-Seq analysis, and integration of public datasets.
• Familiarity with workflow management systems (e.g. Snakemake, Nextflow) and experience using HPC environments is advantageous.

The facility specialises in Oxford Nanopore Technologies (ONT) MinION, GridION, and Prometh

ION instruments — experience in ONT data analysis is a significant advantage, though training can be provided. Deep Seq operates short-read platforms from Illumina, single-cell technologies including 10x Genomics platforms, and other technologies. The facility maintains several dedicated servers and HPC resources for data processing.

This is a full-time permanent post (36.25 hours per week). Immediate start available; flexible working arrangements and job-share options may be considered.

Informal enquiries may be addressed to Matthew Loose (ma). Applications should be submitted in the submission system; direct emails to this address will not be accepted.

02 February 2026

Category:
Research and Teaching (R&T)

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