Research Fellow in Life Sciences (University of Nottingham)

Reference: SCI270625 Area: Life Sciences Location: UK Other Contract: Permanent Hours: Full-time (36.25 hours per week) Flexible working and job-share arrangements may be considered Salary £31,387 to £46,485 per annum, pro rata, depending on skills and experience (Minimum £35,608 with relevant PhD) Salary progression beyond this scale is subject to performance. Key Dates Closing Date: Monday 02 February 2026 About the Role 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. You will provide expert analytical support and advice to facility users, helping them extract maximum biological insight from their data. This role requires effective communication with researchers from diverse backgrounds and the ability to translate biological questions into robust computational analyses. Key Responsibilities You will: Plan and conduct independent bioinformatics analyses using existing tools and resources Adapt existing methodologies and scripts and design new pipelines and workflows Deliver accurate, reproducible, and timely analytical results Prepare analysis reports, user summaries, and contribute to academic publications Provide expert support and guidance to facility users Take a leading role in the management and optimisation of dedicated servers and HPC resources Technical Environment The Deep Seq facility specialises in: Oxford Nanopore Technologies (ONT) platforms: MinION, GridION, PromethION Experience with ONT data analysis is a significant advantage (training available) Short-read sequencing platforms from Element and Illumina Single-cell technologies, including 10x Genomics platforms Dedicated servers and High-Performance Computing (HPC) infrastructure About You Essential Criteria You should have: A PhD (or near completion), an MSc in Bioinformatics, or equivalent professional experience Strong experience in bioinformatics, computational biology, or a related field Proficiency with Linux operating systems Ability to analyse and interpret large-scale biological datasets Strong critical evaluation skills applied to current methodologies Programming expertise in at least one language (e.g. Python, R, Perl, Nextflow, C++, Java) Desirable Experience Experience in one or more of the following areas is advantageous: Database management Sequence alignment and assembly Variant and methylation calling RNA-Seq analysis Integration of public datasets Workflow management systems (e.g. Snakemake, Nextflow) Working in HPC environments Contract Details Permanent position Full-time (36.25 hours per week) Available for an immediate start (flexibility possible) Informal Enquiries Informal enquiries may be addressed to: Matthew Loose Email: matthew.loose@nottingham.ac.uk Please note: applications sent directly to this email address will not be accepted. Equality, Diversity and Inclusion The University is a supportive, inclusive, and welcoming community. We value diversity and recognise it as fundamental to our success and values. Disability Confident Employer (Level 2) Athena Swan Gold Award institution Strong commitment to equality, diversity and inclusion Further information is available on the University’s Equality, Diversity and Inclusion website. Additional Information Candidate Guidance is available to support applicants throughout the recruitment process Full benefits information is available via the Your Benefits website Applications are welcomed from UK, European, and international candidates Support is available via the Moving to Nottingham page Appointment is subject to the right to work in the UK, in line with UK Visas & Immigration If you apply for this position please say you saw it on Medicinoxy

Reference: SCI270625

Area: Life Sciences
Location: UK Other
Contract: Permanent
Hours: Full-time (36.25 hours per week)
Flexible working and job-share arrangements may be considered

Salary

£31,387 to £46,485 per annum, pro rata, depending on skills and experience
(Minimum £35,608 with relevant PhD)

Salary progression beyond this scale is subject to performance.

Key Dates

Closing Date: Monday 02 February 2026

About the Role

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.

You will provide expert analytical support and advice to facility users, helping them extract maximum biological insight from their data. This role requires effective communication with researchers from diverse backgrounds and the ability to translate biological questions into robust computational analyses.

Key Responsibilities

You will:

Plan and conduct independent bioinformatics analyses using existing tools and resources
Adapt existing methodologies and scripts and design new pipelines and workflows
Deliver accurate, reproducible, and timely analytical results
Prepare analysis reports, user summaries, and contribute to academic publications
Provide expert support and guidance to facility users
Take a leading role in the management and optimisation of dedicated servers and HPC resources

Technical Environment

The Deep Seq facility specialises in:

Oxford Nanopore Technologies (ONT) platforms: MinION, GridION, PromethION
- Experience with ONT data analysis is a significant advantage (training available)
Short-read sequencing platforms from Element and Illumina
Single-cell technologies, including 10x Genomics platforms
Dedicated servers and High-Performance Computing (HPC) infrastructure

About You

Essential Criteria

You should have:

A PhD (or near completion), an MSc in Bioinformatics, or equivalent professional experience
Strong experience in bioinformatics, computational biology, or a related field
Proficiency with Linux operating systems
Ability to analyse and interpret large-scale biological datasets
Strong critical evaluation skills applied to current methodologies
Programming expertise in at least one language (e.g. Python, R, Perl, Nextflow, C++, Java)

Desirable Experience

Experience in one or more of the following areas is advantageous:

Database management
Sequence alignment and assembly
Variant and methylation calling
RNA-Seq analysis
Integration of public datasets
Workflow management systems (e.g. Snakemake, Nextflow)
Working in HPC environments

Contract Details

Permanent position
Full-time (36.25 hours per week)
Available for an immediate start (flexibility possible)

Informal Enquiries

Informal enquiries may be addressed to:
Matthew Loose
Email: matthew.loose@nottingham.ac.uk

Please note: applications sent directly to this email address will not be accepted.

Equality, Diversity and Inclusion

The University is a supportive, inclusive, and welcoming community. We value diversity and recognise it as fundamental to our success and values.

Disability Confident Employer (Level 2)
Athena Swan Gold Award institution
Strong commitment to equality, diversity and inclusion

Further information is available on the University’s Equality, Diversity and Inclusion website.

Additional Information

Candidate Guidance is available to support applicants throughout the recruitment process
Full benefits information is available via the Your Benefits website
Applications are welcomed from UK, European, and international candidates
Support is available via the Moving to Nottingham page
Appointment is subject to the right to work in the UK, in line with UK Visas & Immigration