Research Assistant/Associate/Fellow (SCI270625)

University of Nottingham; United Kingdom; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading research institution in the UK seeks an experienced bioinformatician to join the Deep Seq facility. The role involves analyzing Next Generation Sequencing datasets, providing expert support to users, and developing pipelines for accurate results. Candidates must hold a PhD or MSc in Bioinformatics and have strong programming skills in languages like Python or R. This permanent position offers the chance to enhance bioinformatics expertise within a multidisciplinary team working with cutting-edge technology.

Qualifications

• PhD or near completion in Bioinformatics, or equivalent professional experience.
• Proficiency with Linux and ability to analyze large datasets.
• Demonstrated programming skills in Python, R, Perl, etc.

Responsibilities

• Analyze and interpret Next Generation Sequencing datasets.
• Provide analytical support and advice to facility users.
• Design and implement novel computational tools.

Skills

Bioinformatics

Data analysis

Programming (Python, R, Perl)

Database management

Linux operating systems

Education

PhD or near completion in Bioinformatics

MSc in Bioinformatics

Tools

Oxford Nanopore Technologies

HPC environments

Nextflow

Snakemake

Job description

Organisation/Company University of Nottingham Research Field Biological sciences » Biology Biological sciences » Other Computer science » Database management Computer science » Programming Computer science » Other Researcher Profile First Stage Researcher (R1) Country United Kingdom Application Deadline 2 Feb 2026 - 23:59 (UTC) Type of Contract Permanent Job Status Full-time Hours Per Week 36.25 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

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.

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 cells technologies including 10x Genomics platforms and otthers. 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.

This position offers an excellent opportunity to further develop bioinformatics expertise in a dynamic, multidisciplinary environment, with scope to design and implement novel computational tools and expand your analytical portfolio.

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.