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- Tasks: Analyse cutting-edge omics datasets and support a dynamic wet-lab team.
- Company: The University of Edinburgh, a leading institution in research and innovation.
- Benefits: Competitive salary, flexible working arrangements, and a collaborative environment.
- Other info: Opportunity for career growth in a vibrant academic setting.
- Why this job: Join a pioneering team and contribute to groundbreaking research in bioinformatics.
- Qualifications: Experience in bioinformatics and a passion for data analysis.
The predicted salary is between 34610 - 39906 £ per year.
The University of Edinburgh in Edinburgh is seeking a skilled bioinformatician to join its team, focusing on analyzing omics datasets including single cell and spatial transcriptomic data. This full-time position involves supporting a wet-lab team in making use of multi-omics data.
A flexible working arrangement is available, and the role comes with a competitive salary of £34,610 to £39,906 per annum, depending on experience, over a fixed term of two years.
Bioinformatician – Single-Cell & Spatial Omics, Hybrid in Edinburgh employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatician – Single-Cell & Spatial Omics, Hybrid in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the bioinformatics field, especially those working with single-cell and spatial omics. Attend relevant conferences or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with omics datasets. Whether it's a GitHub repository or a personal website, having tangible examples of your expertise can really set you apart from other candidates.
✨Tip Number 3
Prepare for interviews by brushing up on common bioinformatics questions and case studies. We recommend practising with friends or mentors to build confidence and refine your answers, especially around multi-omics data analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Bioinformatician – Single-Cell & Spatial Omics, Hybrid in Edinburgh
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with omics datasets, especially single-cell and spatial transcriptomics. We want to see how your skills align with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re passionate about bioinformatics and how you can support our wet-lab team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills: Be specific about the tools and technologies you’ve used in your previous roles. Whether it’s programming languages or data analysis software, we want to know what you bring to the table that will help us tackle multi-omics data.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team!
How to prepare for a job interview at University of Edinburgh
✨Know Your Omics
Make sure you brush up on your knowledge of single-cell and spatial transcriptomics. Be prepared to discuss specific techniques and tools you've used in the past, as well as any relevant projects. This will show that you're not just familiar with the concepts but have practical experience too.
✨Show Your Team Spirit
Since this role involves supporting a wet-lab team, highlight your collaborative skills. Think of examples where you've worked closely with lab teams or other departments. Emphasise how you can bridge the gap between bioinformatics and wet-lab research.
✨Prepare for Technical Questions
Expect some technical questions related to data analysis and bioinformatics software. Brush up on common algorithms and statistical methods used in omics data analysis. Practising explaining these concepts clearly can help you stand out.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current projects the team is working on or how they integrate multi-omics data. This shows your genuine interest in the role and helps you assess if it's the right fit for you.