At a Glance
- Tasks: Drive innovative research in genomic informatics and enhance patient care through data integration.
- Company: Join the University of Southampton's Faculty of Medicine, a leader in translational genomics.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Other info: Engage with national initiatives and contribute to cutting-edge research for three years.
- Why this job: Make a real-world impact on healthcare by connecting genomics with clinical insights.
- Qualifications: PhD in bioinformatics or related field, with experience in genomic data analysis.
The predicted salary is between 36636 - 46049 £ per year.
An exciting postdoctoral research role within the Faculty of Medicine’s Genomic Informatics Group invites applications for a fixed‑term appointment that spans three years. Situated at the heart of translational genomics research, this position offers the opportunity to contribute to cutting‑edge work that connects large‑scale genomic sequencing with clinical insights.
You will be part of a multidisciplinary team based on the University of Southampton Hospital site, working alongside genomic informaticians, clinicians, data scientists, and infrastructure specialists to drive research that has real‑world impact on patient care. In this role, you will drive innovative research that enhances the integration of high‑throughput genomic datasets with structured clinical data, and help develop robust bioinformatics solutions for translational diagnostics. The work includes producing high‑quality research outputs, contributing to education and training, and providing leadership within the group. There is scope to engage with national initiatives and data resources that support genomic medicine and secure clinical data environments.
Eligibility Criteria
Applicants should hold a PhD in bioinformatics, genomics, computational biology, data science, or a closely related discipline, with relevant postdoctoral or professional experience. A strong foundation in genomic medicine research and the ability to operate at the intersection of computational and clinical data science are key requirements.
Required Expertise and Skills
The successful candidate will demonstrate extensive experience working with high‑throughput sequencing data analysis, development and maintenance of bioinformatics workflows, and strong programming skills in languages such as R, Python, Bash, or similar. Experience integrating genomic data with structured clinical information, familiarity with clinical ontologies, and a solid understanding of data governance practices for sensitive health data will support success in this role.
Salary Details
The salary for this position is in the range of £36,636 to £46,049 per annum, dependent on level of appointment (Research Fellow or Senior Research Fellow) and experience.
Application Deadline
Applications are due by 15 March 2026.
Research Fellow / Senior Research Fellow in Translational Genomic Informatics in Southampton employer: RFCSR
Imperial College London is an exceptional employer, offering a vibrant and collaborative work culture that fosters innovation and interdisciplinary research. As a Research Associate, you will have access to cutting-edge facilities and the opportunity for professional growth through mentorship and publishing your findings, all while contributing to impactful advancements in biomedical engineering within a prestigious academic environment.
StudySmarter Expert Advice🤫
We think this is how you could land Research Fellow / Senior Research Fellow in Translational Genomic Informatics in Southampton
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the University of Southampton, especially those in the Genomic Informatics Group. A friendly chat can give us insider info and might even lead to a referral.
✨Tip Number 2
Prepare for the interview by brushing up on your knowledge of genomic medicine and bioinformatics. We should be ready to discuss how our skills align with their cutting-edge research and how we can contribute to real-world patient care.
✨Tip Number 3
Showcase our projects! If we’ve worked on relevant research or have experience with high-throughput sequencing data, let’s prepare to talk about it. Real examples can make us stand out during interviews.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can keep track of our application status easily.
We think you need these skills to ace Research Fellow / Senior Research Fellow in Translational Genomic Informatics in Southampton
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role. Highlight your experience in genomic informatics and any relevant projects you've worked on. 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 translational genomics and how you can contribute to our team. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Skills:Don’t forget to showcase your programming skills and experience with high-throughput sequencing data. We’re keen to see examples of your work, so if you have any projects or publications, mention them!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way to ensure your application gets to us directly and doesn’t get lost in the shuffle!
How to prepare for a job interview at RFCSR
✨Know Your Stuff
Make sure you brush up on your knowledge of genomic informatics and translational genomics. Be ready to discuss your previous research, especially any high-throughput sequencing data analysis you've done. This shows you're not just familiar with the theory but have practical experience too.
✨Showcase Your Skills
Prepare to demonstrate your programming skills in R, Python, or Bash. You might be asked to solve a problem on the spot, so practice coding challenges related to bioinformatics workflows. This will help you stand out as someone who can hit the ground running.
✨Connect the Dots
Be ready to explain how you can integrate genomic data with clinical information. Think about examples from your past work where you’ve successfully bridged the gap between computational and clinical data science. This will highlight your ability to contribute to real-world patient care.
✨Engage with the Team
Since this role involves working in a multidisciplinary team, show your enthusiasm for collaboration. Prepare questions about the team dynamics and how you can contribute to education and training within the group. This demonstrates that you’re not just a lone wolf but a team player.
