Research Assistant/Associate/Fellow (SCI270625)

Karlstad University; Nottingham; On-site; GBP 30,000 - 40,000; Full time

Job summary

A UK research institution is seeking a skilled Research Assistant/Associate/Fellow specializing in bioinformatics. The role involves providing analytical support for Next Generation Sequencing data, necessitating strong programming skills and proficiency with Linux. Candidates should have a PhD or MSc related to bioinformatics. The position is full-time with flexible working options available. Ideal candidates will have experience with ONT data analysis and database management. Informal inquiries can be directed to Matthew Loose at the provided email.

Benefits

Flexible working arrangements

Qualifications

• PhD or MSc in Bioinformatics, or equivalent experience in related fields.
• Proficiency with Linux OS for data analyses.
• Strong programming skills in languages like Python, R, Perl, etc.

Responsibilities

• Provide analytical support to facility users.
• Plan and conduct analyses using available tools.
• Prepare analysis reports and contribute to publications.

Skills

Bioinformatics analysis

Programming in Python

Data interpretation

Statistical analysis

Database management

Education

PhD in Bioinformatics or near completion

MSc in Bioinformatics

Tools

Nextflow

Snakemake

Linux

Job description

Research Assistant/Associate/Fellow (SCI270625)

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.

Responsibilities

• 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.
• You will be expected to plan and conduct your own analyses using available tools, to adapt existing methodologies and scripts, and to design new pipelines and workflows that deliver accurate, reproducible, and timely results. You will also be responsible for preparing analysis reports, user summaries, and contributing to publications.
• The facility specialises in running Oxford Nanopore Technologies (ONT) MinION, GridION, and PromethION instruments—experience in the analysis of ONT data is therefore a significant advantage although training can be provided. Deep Seq currently operates short read platforms from Element and Illumina, single‑cell technologies including 10x Genomics platforms and others. The facility maintains several dedicated servers and HPC resources for data processing, and the post holder will take a leading role in their management and optimisation.

Qualifications

• Candidates should hold a PhD (or be near completion), an MSc in Bioinformatics, or have equivalent professional experience in bioinformatics, computational biology, or a related field. Proficiency with Linux operating systems is essential, as is the ability to analyse and interpret large datasets and apply critical evaluation to current methodologies.
• Applicants must demonstrate strong programming skills in at least one scripting or programming language (e.g. Python, R, Perl, Nextflow, C++, or Java) and 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 would be advantageous.

This is a full‑time permanent post (36.25 hours per week). It is available for an immediate start, however, we are open to discussing flexible working arrangements. Job share arrangements may be considered.

Informal enquiries may be addressed to Matthew Loose ([e-mail]). Please note that applications sent directly to this e‑mail address will not be accepted.

Closing Date: 02 Feb 2026
Category: Research and Teaching (R&T)