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- Tasks: Join a cutting-edge project analysing genome data from infertile men using advanced computational techniques.
- Company: University of Edinburgh, a leader in research and innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for career development.
- Why this job: Make a real impact in genomics while advancing your skills in a supportive environment.
- Qualifications: PhD (or near completion) in a relevant field with strong coding skills.
- Other info: Collaborate with leading researchers globally and contribute to impactful publications.
The predicted salary is between 35000 - 44000 £ per year.
The Opportunity: We are seeking a highly motivated Postdoctoral Research Associate in Computational Genomics to join our team at the University of Edinburgh. This is a unique opportunity to work on a cutting‑edge project involving long and short read genome data analysis from infertile men, focusing on complex variant detection and variant interpretation using state‑of‑the‑art computational and machine learning approaches. You will have the chance to develop and apply advanced computational pipelines, contribute to impactful publications, and collaborate with leading researchers both in the UK and globally. Whether you are looking to advance your computational skills or engage in translational research, this role offers substantial career development opportunities. This post is full‑time (35 hours per week); however, we are open to considering flexible working patterns. We are also open to considering requests for hybrid working (on a non‑contractual basis) that combines a mix of remote and regular on‑campus working.
Salary: £41,064 to £48,822 per annum.
Your skills and attributes for success:
- PhD (or near completion) in a relevant field.
- Strong coding skills in Python/R and Linux/UNIX, or expertise in genome analysis with motivation to upskill computationally.
- Experience in genomics and high-throughput sequencing.
- Proven track record of independent research with at least one first‑author paper.
- Enthusiastic about academic growth, including presenting work and supporting junior researchers.
Apply Before: 30/03/2026, 23:59
Post-Doctoral Research Associate in Computational Genomics employer: Economicsnetwork
Contact Detail:
Economicsnetwork Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Post-Doctoral Research Associate in Computational Genomics
✨Tip Number 1
Network like a pro! Reach out to researchers in your field, attend conferences, and engage with online communities. Building connections can lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your coding projects or any relevant research. This gives potential employers a tangible sense of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions in your field. Think about how your experience aligns with the role and be ready to discuss your research in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals like you, and applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Post-Doctoral Research Associate in Computational Genomics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in computational genomics. We want to see your coding skills in Python/R and any work you've done with genome analysis. Tailoring it to the job description will help us see how you fit into our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about this role and how your background aligns with our cutting-edge project. Don't forget to mention your enthusiasm for academic growth and collaboration!
Showcase Your Research Experience: We love seeing a proven track record of independent research. Make sure to highlight your first-author paper and any other significant contributions. This will demonstrate your capability and commitment to impactful research.
Apply Through Our Website: To make sure your application gets to us, apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on this fantastic opportunity!
How to prepare for a job interview at Economicsnetwork
✨Know Your Stuff
Make sure you brush up on your knowledge of computational genomics, especially the latest trends in genome data analysis. Be ready to discuss your previous research and how it relates to the project at hand. This shows your genuine interest and expertise.
✨Show Off Your Coding Skills
Since strong coding skills in Python/R and Linux/UNIX are crucial, prepare to demonstrate your proficiency. You might be asked to solve a coding problem or explain your approach to a past project. Practise coding challenges beforehand to boost your confidence.
✨Prepare for Collaboration Questions
This role involves working with leading researchers, so expect questions about teamwork and collaboration. Think of examples where you've successfully worked in a team, especially in a research setting. Highlight your ability to support junior researchers too!
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the specific projects you'll be involved in, the team dynamics, or opportunities for academic growth. This not only shows your enthusiasm but also helps you gauge if the role is right for you.