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- Tasks: Develop bioinformatics tools and workflows for genomics data analysis.
- Company: Join the Future Medicines Institute, a cutting-edge research hub at Queen’s University Belfast.
- Benefits: Collaborate with top researchers and enjoy a dynamic work environment.
- Why this job: Make a real impact in health sciences while working with innovative technologies.
- Qualifications: Degree in computer science or related field; relevant PhD preferred.
- Other info: Experience with cloud infrastructures and bioinformatics pipelines is essential.
The predicted salary is between 36000 - 60000 £ per year.
The Future Medicines Institute (FMI) is a new industry-led research hub for Life and Health Sciences in Northern Ireland, hosted by Queen’s University Belfast (QUB). It aims to foster collaboration, cluster development, and engagement in research and development for commercial and academic partners. The FMI will house over 50 staff from QUB and partners, located near key research centers. The FMI is funded by the Department of Economy, Northern Ireland, and managed as a UKRI Strengths in Places Fund project.
Role Overview:
The post holder will develop bioinformatics tools, workflows, and cloud infrastructure to support genomics and multi-omics data analysis across FMI projects. The role involves working closely with biologists, bioinformaticians, and software developers to integrate computational methods with scalable cloud platforms, streamlining data processing, analysis, and sharing. The ideal candidate will have a strong background in software engineering, data engineering, and cloud computing, with a proactive, collaborative attitude.
About the Person:
The successful candidate must meet the following criteria:
- Degree in computer science, bioinformatics, data engineering, or a related discipline.
- Have or about to obtain a relevant PhD (must be obtained within 3 months of interview).
- Relevant research experience.
- Experience designing and deploying scalable cloud infrastructures (AWS, Azure, GCP).
- Proficiency in bioinformatics pipeline development (e.g., RNA-seq, single-cell RNA-seq, exomes).
- Expertise in HPC infrastructure / Linux systems and implementation of R and/or Python packages.
- Publication record appropriate to career stage.
Please ensure your application clearly demonstrates how you meet these essential and any desirable criteria listed in the Candidate Information.
Contact Detail:
HIRANI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow, Bioinformatics (Future Medicines Institute)
✨Tip Number 1
Familiarise yourself with the Future Medicines Institute and its projects. Understanding their focus on genomics and multi-omics data analysis will help you tailor your discussions during interviews, showcasing your genuine interest in their work.
✨Tip Number 2
Network with current or former employees of the FMI or similar organisations. Engaging with them can provide insights into the company culture and expectations, which can be invaluable when preparing for interviews.
✨Tip Number 3
Brush up on your technical skills related to cloud infrastructures like AWS, Azure, or GCP. Being able to discuss specific projects or experiences where you've successfully implemented these technologies will set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your experience with bioinformatics pipeline development. Be ready to share examples of how you've tackled challenges in this area, as it directly relates to the responsibilities of the role you're applying for.
We think you need these skills to ace Research Fellow, Bioinformatics (Future Medicines Institute)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in bioinformatics, software engineering, and cloud computing. Use specific examples that demonstrate your skills in developing bioinformatics tools and working with cloud infrastructures.
Craft a Strong Cover Letter: In your cover letter, clearly articulate your motivation for applying to the Future Medicines Institute. Emphasise your collaborative attitude and how your background aligns with the role's requirements, particularly in genomics and multi-omics data analysis.
Highlight Relevant Experience: When detailing your research experience, focus on projects where you designed and deployed scalable cloud infrastructures or developed bioinformatics pipelines. Mention any specific technologies or methodologies you used, such as AWS, Azure, or Python.
Demonstrate Your Publication Record: If you have publications, include them in your application. Highlight those that are most relevant to bioinformatics and data engineering, as this will strengthen your candidacy and show your commitment to the field.
How to prepare for a job interview at HIRANI
✨Know Your Bioinformatics Tools
Make sure you are well-versed in the bioinformatics tools and workflows relevant to the role. Be prepared to discuss your experience with RNA-seq, single-cell RNA-seq, and any other relevant techniques during the interview.
✨Showcase Your Cloud Computing Skills
Since the role involves designing scalable cloud infrastructures, be ready to talk about your experience with AWS, Azure, or GCP. Highlight specific projects where you successfully deployed cloud solutions.
✨Demonstrate Collaboration Experience
The position requires working closely with biologists and software developers. Share examples of past collaborations, focusing on how you integrated computational methods with biological research.
✨Prepare for Technical Questions
Expect technical questions related to software engineering and data engineering. Brush up on your knowledge of HPC infrastructure, Linux systems, and R/Python packages to confidently answer any queries.
