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- Tasks: Join a dynamic team to analyse diverse 'omics datasets and develop innovative data pipelines.
- Company: Be part of the Oxford-GSK Institute, merging top-tier academic and industry expertise.
- Benefits: Enjoy a competitive salary, pension scheme, and the chance to work on groundbreaking research.
- Why this job: Contribute to impactful projects in genetics and machine learning while collaborating with leading researchers.
- Qualifications: Must have a relevant post-graduate qualification and experience in handling various 'omics data types.
- Other info: Full-time role until September 2027; applications close on 24 June 2025.
The predicted salary is between 38674 - 46913 £ per year.
We are seeking to appoint a Bioinformatician to join the multidisciplinary Oxford-GSK Institute of Molecular & Computational Medicine (IMCM), operating within the Nuffield Department of Medicine (NDM). The Institute brings together the very best scientific, clinical, technological and computational expertise from Oxford University and GSK forming a unique industry/academic partnership. The aim of the Institute is to improve tools in, and knowledge from, genetics, genomics, molecular and single cell biology, spatial imaging, machine learning and novel methods of data handling to study the pattern of diseases in new ways.
Within this role, you will be responsible for conducting processing and detailed analysis for the different Oxford-GSK IMCM projects, working on various ‘omics datasets, including transcriptomic, genomic, proteomic and metabolomic data, as well as imaging and clinical data. You will contribute to the development of new pipelines or optimise existing ones as required, working closely and collaboratively with other members of the bioinformatics team.
Committing to performing cloud-based analyses on the IMCM data platform is a key part of this role, along with preparing manuscripts for publication and contributing to written and oral presentations/reports as required. This is an exciting role in which you will be in regular communication with the Oxford-GSK IMCM project leads and will work collaboratively with the Oxford-GSK IMCM Fellows and other researchers in the institute, keeping in mind the Oxford-GSK IMCM’s approach and mission.
It is essential that you hold a relevant post-graduate qualification in bioinformatics, computational biology, biostatistics, applied mathematics, or related discipline, and have demonstrable experience in handling and analysing various types of ‘omics data types, such as RNA-Seq, whole genome or exome sequencing data, single cell profiling, ChIP-Seq, proteomics, and metabolomics.
If you have a strong ability to plan and oversee programmes of technical work to a successful conclusion by agreed deadlines and the ability to contribute to a supportive, helpful culture working closely with end users, this role may be for you!
Applications for this vacancy should be made online and you will need to upload a supporting statement and CV. Your supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience. Please restrict your documentation to your CV and supporting statement only. Any other documents will be requested at a later date.
This position is offered full time on a fixed term contract until 30 September 2027 and is externally funded by GSK. Only applications received before 12 midday on 24 June 2025 will be considered.
£38,674 to £46,913 per annum : Grade 7, with a discretionary range to £51,059 p.a. This is inclusive of a pensionable Oxford University Weighting of £1,500 per year.
Bioinformatician employer: Institute for Modern
Contact Detail:
Institute for Modern Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician
✨Tip Number 1
Familiarise yourself with the latest advancements in bioinformatics and 'omics data analysis. This will not only help you during interviews but also demonstrate your genuine interest in the field and the specific projects at the Oxford-GSK IMCM.
✨Tip Number 2
Network with professionals in the bioinformatics community, especially those connected to Oxford University or GSK. Attend relevant conferences or webinars to make connections that could provide insights into the role and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with cloud-based analyses and specific 'omics datasets during interviews. Be ready to share examples of how you've optimised pipelines or handled complex data types, as this is crucial for the role.
✨Tip Number 4
Showcase your collaborative skills by preparing examples of past teamwork experiences. Highlight how you contributed to a supportive culture and worked closely with end users, as this aligns with the values of the Oxford-GSK IMCM.
We think you need these skills to ace Bioinformatician
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the responsibilities and requirements of the Bioinformatician position. Make notes on key skills and experiences that align with your background.
Craft Your Supporting Statement: Your supporting statement is crucial. Clearly address each selection criterion mentioned in the job description, providing specific examples from your experience that demonstrate your skills in handling 'omics data and collaborative work.
Tailor Your CV: Ensure your CV highlights relevant qualifications and experiences related to bioinformatics and computational biology. Focus on your technical skills, such as data analysis and programming languages, and any previous projects that relate to the role.
Follow Application Instructions: Make sure to upload only the required documents: your CV and supporting statement. Double-check for any specific instructions regarding file formats or naming conventions before submitting your application online.
How to prepare for a job interview at Institute for Modern
✨Know Your 'Omics Data
Make sure you have a solid understanding of the various types of 'omics data, such as RNA-Seq, ChIP-Seq, and proteomics. Be prepared to discuss your experience with these datasets and how you've handled them in past projects.
✨Showcase Your Collaborative Skills
Since this role involves working closely with other researchers and project leads, highlight your teamwork experiences. Share examples of how you've successfully collaborated on projects and contributed to a supportive culture.
✨Prepare for Technical Questions
Expect technical questions related to bioinformatics and computational biology. Brush up on relevant tools and methodologies, and be ready to explain how you've applied them in your work.
✨Craft a Strong Supporting Statement
Your supporting statement is crucial. Clearly address each selection criterion with specific examples from your experience. This is your chance to demonstrate how you meet the job requirements and why you're a great fit for the team.
