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- Tasks: Design and analyse cutting-edge multi-omics data to support cancer research.
- Company: Join the world-leading Cancer Research UK Manchester Institute.
- Benefits: Competitive salary, state-of-the-art facilities, and a dynamic research environment.
- Why this job: Make a real impact in cancer research with advanced technologies.
- Qualifications: Degree in Computational Biology or related field; experience with high-throughput data.
- Other info: Collaborative team atmosphere with excellent career growth opportunities.
The predicted salary is between 35000 - 50000 ÂŁ per year.
Starting salary in the range: ÂŁ35,000 - ÂŁ50,000 (dependent upon experience) per annum.
Duration – non‑time limited role
About the role
The Computational Biology Support Team is closely linked to the core facilities within the CRUK Manchester Institute, operating advanced genomics technologies such as Illumina deep sequencing, mass spectrometry, and advanced imaging. This role supports the experimental design, validation, pre‑processing, analysis and interpretation of datasets generated by these facilities, and delivers analysis services to research groups across the Institute.
Responsibilities
- Design and validate experimental workflows for high‑throughput multi‑omics data.
- Pre‑process, analyse and interpret datasets from sequencing, mass spectrometry and imaging platforms.
- Provide computational biology support and analysis services to research groups.
- Collaborate with core facility staff and scientific computing teams.
- Utilise the on‑site High Performance Computing Facility to run large‑scale analyses.
About you
- A degree or postgraduate degree in Computational Biology, Bioinformatics, Applied Mathematics, Statistics, Computer Science, Physics, or a related discipline.
- Experience in analysing high‑throughput multi‑omics data sets.
- Optional PhD in Computational Biology (desirable).
- Excellent interpersonal skills and ability to build networks.
- Strong organisational and time‑management skills, with the capacity to prioritise and meet deadlines with limited supervision.
Why choose Cancer Research UK Manchester Institute?
The Institute is a world‑leading centre for excellence in cancer research, funded by Cancer Research UK and in partnership with The Christie NHS Foundation Trust. It offers state‑of‑the‑art facilities, including next‑generation sequencing, microarrays, confocal microscopy, bioinformatics, histology and mass‑spectrometry, within a dynamic research environment.
How to apply
To apply for this position please visit our website: http://www.cruk.manchester.ac.uk/Opportunities/Opportunities-Home
For any informal enquiries about this post, please contact Sudhakar Sahoo at sudhakar.sahoo@cruk.manchester.ac.uk.
Closing date 12 April 2026. This vacancy will close for applications at 18:00 hours on the closing date specified.
Computational Biologist in Manchester employer: Cancer Research UK Manchester Institute
Contact Detail:
Cancer Research UK Manchester Institute Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Computational Biologist in Manchester
✨Tip Number 1
Network like a pro! Reach out to people in the field of computational biology, especially those at the CRUK Manchester Institute. A friendly chat can open doors and give you insights that a CV just can't.
✨Tip Number 2
Show off your skills! When you get the chance to meet potential employers, be ready to discuss your experience with high-throughput multi-omics data. Bring examples of your work or projects to the conversation.
✨Tip Number 3
Don’t underestimate the power of follow-ups! After any interview or networking event, drop a quick thank-you email. It keeps you on their radar and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the team at the CRUK Manchester Institute.
We think you need these skills to ace Computational Biologist in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Computational Biologist role. Highlight your experience with high-throughput multi-omics data and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about computational biology and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Skills: Don’t forget to showcase your technical skills, especially in areas like data analysis and experimental design. Mention any tools or programming languages you’re proficient in that are relevant to the role. We’re keen to see what you bring to the table!
Apply Through Our Website: Remember to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our amazing team there!
How to prepare for a job interview at Cancer Research UK Manchester Institute
✨Know Your Data
Make sure you’re familiar with high-throughput multi-omics data sets. Brush up on your experience with sequencing, mass spectrometry, and imaging platforms. Being able to discuss specific projects or analyses you've worked on will show your expertise and passion for the role.
✨Showcase Your Collaboration Skills
This role involves working closely with research groups and core facility staff. Prepare examples of how you've successfully collaborated in the past. Highlight your interpersonal skills and how you’ve built networks in previous roles to demonstrate that you can thrive in a team environment.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss challenges you've faced in computational biology and how you overcame them. Think about specific instances where you designed or validated experimental workflows and be prepared to explain your thought process during the interview.
✨Familiarise Yourself with the Institute
Research Cancer Research UK Manchester Institute and its facilities. Understanding their mission and recent projects will help you tailor your responses and show genuine interest in contributing to their work. It’s a great way to connect your skills with their goals.