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- Tasks: Analyse and interpret Next Generation Sequencing datasets using cutting-edge bioinformatics tools.
- Company: Join a leading research facility with a focus on innovative sequencing technologies.
- Benefits: Flexible working hours, job-share options, and opportunities for professional growth.
- Why this job: Make a real impact in biological research while working with advanced technologies.
- Qualifications: PhD or MSc in Bioinformatics; strong programming skills and experience with large datasets.
- Other info: Collaborative environment with diverse researchers and excellent career development opportunities.
The predicted salary is between 36000 - 60000 £ per year.
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.
Responsibilities
- 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.
Qualifications and Experience
- 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.
Facilities and Tools
The facility specialises in Oxford Nanopore Technologies (ONT) MinION, GridION, and PromethION 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.
Terms and Start
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.
How to Apply
Informal enquiries may be addressed to Matthew Loose (matthew.loose@nottingham.ac.uk). Applications should be submitted in the submission system; direct emails to this address will not be accepted.
Closing Date 02 February 2026
Research Assistant/Associate/Fellow (MED270625) in Nottingham employer: Karlstad University
Contact Detail:
Karlstad University Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Assistant/Associate/Fellow (MED270625) in Nottingham
✨Tip Number 1
Get to know the facility and its work! Before your interview, dive into the Deep Seq facility's projects and technologies. This will help you speak their language and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your communication skills! Since you'll be working with researchers from diverse backgrounds, it's crucial to explain complex bioinformatics concepts in simple terms. Try explaining your past projects to friends or family to refine your approach.
✨Tip Number 3
Show off your technical skills! Be ready to discuss your programming experience and how you've used it to solve real-world problems. Bring examples of your work, like scripts or analysis reports, to demonstrate your capabilities.
✨Tip Number 4
Apply through our website! We want to see your application come through our system, so make sure you submit it there. It’s the best way for us to keep track of your application and get you in front of the right people.
We think you need these skills to ace Research Assistant/Associate/Fellow (MED270625) in Nottingham
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in bioinformatics and NGS data analysis. We want to see how your skills align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in programming languages like Python or R, and any experience with Linux systems. We’re looking for candidates who can hit the ground running, so let us know what tools you’re comfortable with!
Communicate Clearly: Since effective communication is key in this role, make sure your application reflects your ability to explain complex concepts simply. We appreciate clarity and conciseness, especially when it comes to your past experiences.
Apply Through Our Website: Remember, the best way to apply is through our submission system. Direct emails won’t be accepted, so make sure you follow the process outlined in the job description. We can’t wait to see your application!
How to prepare for a job interview at Karlstad University
✨Know Your Bioinformatics Inside Out
Make sure you brush up on your bioinformatics knowledge, especially around NGS datasets and the tools mentioned in the job description. Be ready to discuss your experience with programming languages like Python or R, and how you've applied them in real-world scenarios.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and interpretation. Practise explaining complex concepts in simple terms, as you'll need to communicate effectively with researchers from diverse backgrounds. Think of examples where you've successfully translated biological questions into computational solutions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous roles and how you overcame them. Highlight your ability to adapt methodologies and design new workflows, as this is crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about the Deep Seq facility and its projects. This shows your genuine interest in the role and helps you gauge if it's the right fit for you. Consider asking about the types of NGS analyses they prioritise or how they support ongoing training for their staff.
