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- Tasks: Join a dynamic team to analyse cutting-edge single-cell RNA sequencing data.
- Company: University of Edinburgh, renowned for its research excellence.
- Benefits: Competitive salary, professional development, and the chance to publish impactful research.
- Other info: Collaborate with top scientists in a vibrant research environment.
- Why this job: Make a real difference in cardiovascular research while developing specialist skills.
- Qualifications: PhD or equivalent in bioinformatics, computational biology, or related fields.
The predicted salary is between 41064 - 48822 £ per year.
Grade UE07: £41,064 - £48,822 per annum
College of Medicine and Veterinary Medicine/School of Neurological and Cardiovascular Sciences/Institute for Neuroscience and Cardiovascular Research
Full-time: 35 hours per week, 100% on campus
Fixed-term: for 20 months
The Opportunity: We are seeking a highly motivated Research Fellow to join Professor Andy Baker’s laboratory in the Institute for Neuroscience and Cardiovascular Research at the University of Edinburgh. This full-time post is funded by a British Heart Foundation (BHF) grant and will focus on the analysis of single-cell RNA sequencing (sc/snRNAseq) and spatial omics data in cardiovascular and vascular biology. You will work within a multidisciplinary team of basic and clinician scientists, contributing to experimental design, data analysis in single-cell and spatial omics, and publication of high-impact research. The role offers excellent opportunities to contribute to high impact publications, develop specialist skills in single-cell and spatial omics, and work at the interface of computational and translational cardiovascular research.
Your Skills and Attributes for Success:
- A PhD (or equivalent experience) in bioinformatics, computational biology, biostatistics, computer science, data science or a closely related discipline.
- Proven experience in analysis of high-throughput sequencing data, ideally with a focus on single-cell/-nucleus RNAseq and/or spatial omics.
- Proficiency in R and/or Python for data analysis, with experience using relevant packages (e.g. Seurat, Bioconductor, Scanpy, Squidpy) and the Linux command line.
- Experience using high performance computing or cloud environments (e.g. SGE, AWS, University of Edinburgh infrastructure – Eddie, Eleanor).
- Experience developing and maintaining reproducible analysis pipelines, including use of version control (e.g. Git, GitHub).
14118 - Research Fellow employer: University of Edinburgh
Contact Detail:
University of Edinburgh Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land 14118 - Research Fellow
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the University of Edinburgh or the British Heart Foundation. Attend relevant conferences or seminars and don’t be shy about introducing yourself – you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your work with single-cell RNA sequencing and spatial omics data. Whether it’s a GitHub repository or a personal website, having tangible evidence of your expertise can really set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with R, Python, and high-throughput sequencing data. Practice common interview questions and think about how you can demonstrate your problem-solving abilities in real-world scenarios.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, applying directly shows your enthusiasm and commitment to joining our team at StudySmarter.
We think you need these skills to ace 14118 - Research Fellow
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Research Fellow position. Highlight your experience in bioinformatics and any relevant projects you've worked on, especially those involving single-cell RNA sequencing or spatial omics. We want to see how your skills align with 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 cardiovascular research and how your background makes you a great fit for our team. Be sure to mention specific skills, like your proficiency in R or Python, that will help you contribute to our exciting projects.
Showcase Your Research Experience: In your application, don't forget to showcase any previous research experience, especially if it involves high-throughput sequencing data. We love seeing how you've contributed to publications or developed analysis pipelines, so make sure to include those details!
Apply Through Our Website: We encourage you to apply through our website for a smooth application process. It’s the best way to ensure your application gets to us directly. Plus, it shows you're keen on joining our team at StudySmarter!
How to prepare for a job interview at University of Edinburgh
✨Know Your Stuff
Make sure you brush up on your knowledge of single-cell RNA sequencing and spatial omics. Familiarise yourself with the latest research in cardiovascular biology, as well as the specific tools mentioned in the job description like Seurat and Scanpy. Being able to discuss recent papers or breakthroughs will show your passion and expertise.
✨Show Off Your Skills
Prepare to demonstrate your proficiency in R and Python during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects. Bring examples of your work, such as code snippets or analysis pipelines, to showcase your experience with high-throughput sequencing data.
✨Team Player Vibes
Since this role involves working within a multidisciplinary team, be ready to discuss your collaborative experiences. Share examples of how you've worked with both basic and clinician scientists, and highlight any successful projects that resulted from teamwork. This will help convey that you're not just a lone wolf but someone who thrives in a group setting.
✨Ask Smart Questions
Prepare thoughtful questions about the lab's current projects, the team's dynamics, and future research directions. This shows your genuine interest in the position and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with the interviewers and leave a lasting impression.