At a Glance
- Tasks: Design databases and tools for analysing biological data in a fast-paced, collaborative environment.
- Company: Join a UK biotech focused on precision medicine and innovative diagnostic solutions.
- Benefits: Enjoy remote work flexibility and the chance to make a real-world impact.
- Why this job: Be part of a mission-driven team that values scientific thinking and practical problem-solving.
- Qualifications: Experience in C/C++, MySQL, and familiarity with omics data processing is essential.
- Other info: Ideal for detail-oriented individuals eager to enhance clinical diagnostics through technology.
Job Title: Bioinformatics Engineer
Location: Remote
Salary: £48,000 £60,000 depending on experience
About the role
Join a UK-based precision medicine biotech developing diagnostic tools that help clinicians prescribe the right treatment, faster. You ll be part of a growing software team supporting the analysis of large-scale phospho-proteomics data – work that sits at the intersection of biology, data science, and software engineering.
This is a hands-on engineering role where you ll help build and maintain the infrastructure and tools that make complex biological data accessible to researchers, clinicians, and collaborators. Expect a fast-paced, collaborative environment that values clear scientific thinking, clean code, and practical problem-solving.
What you ll be doing:
- Design and maintain relational databases and bioinformatics infrastructure to manage high-throughput biological and clinical datasets
- Optimise pipelines and algorithms for proteomics data integration, quantification, and downstream analysis
- Build clean, user-friendly internal tools and dashboards for exploring experimental data
- Work closely with scientists and developers to improve analysis workflows and build new features
- Maintain system reliability through documentation, testing, and robust version control
About you:
- Comfortable building performant software in C/C++, working across Linux or Windows environments depending on the application
- Strong understanding of relational database design, particularly using MySQL
- Familiar with omics data processing pipelines, ideally proteomics
- Exposure to biomarker discovery workflows, experimental design, or LC-MS/MS data
- Confident working across scientific and technical teams, with clear communication and collaborative mindset
Nice to have:
- Experience working in biotech, translational research, or regulated start-up environments
- Familiar with Python, R, C#, and/or JavaScript especially in a data analysis context
- Comfortable developing interactive dashboards using tools like Dash or Plotly
- Understands data governance, privacy, and compliance in biomedical applications
- Exposure to DevOps practices, automated deployment, or infrastructure scaling
- Experience managing both Linux and Windows systems in production settings
This is a chance to contribute to real-world clinical impact, supporting a mission that combines cutting-edge proteomics with practical diagnostic tools.
If you\’re detail-oriented, curious, and motivated by building tools that make biological data more actionable -we d love to hear from you.
Apply with your CV to: (url removed)
Bioinformatics Engineer employer: Cubiq Recruitment
Contact Detail:
Cubiq Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Bioinformatics Engineer
✨Tip Number 1
Familiarise yourself with the latest trends in bioinformatics and proteomics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews, showcasing your passion and knowledge in the field.
✨Tip Number 2
Network with professionals in the biotech and bioinformatics sectors. Attend relevant webinars, workshops, or conferences to connect with potential colleagues and learn about the latest developments, which can give you an edge when discussing your fit for the role.
✨Tip Number 3
Prepare to discuss specific projects or experiences where you've successfully built or optimised software tools. Highlighting your hands-on experience with C/C++ and relational databases will demonstrate your technical capabilities and problem-solving skills.
✨Tip Number 4
Showcase your collaborative mindset by preparing examples of how you've worked effectively with both scientific and technical teams. Emphasising your communication skills and ability to bridge gaps between disciplines will make you a more attractive candidate.
We think you need these skills to ace Bioinformatics Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in bioinformatics, software engineering, and data analysis. Emphasise your skills in C/C++, relational databases, and any experience with omics data processing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for precision medicine and your understanding of the role. Mention specific projects or experiences that demonstrate your ability to work with large-scale biological datasets and collaborate with scientific teams.
Showcase Technical Skills: In your application, clearly outline your technical skills, especially in programming languages like Python, R, and C#. If you have experience with tools like Dash or Plotly, make sure to include that as well.
Highlight Collaborative Experience: Since the role involves working closely with scientists and developers, provide examples of past collaborative projects. This will show your ability to communicate effectively and work in a team-oriented environment.
How to prepare for a job interview at Cubiq Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with C/C++ and relational databases, particularly MySQL. Highlight specific projects where you've built or optimised software for biological data analysis, as this will demonstrate your hands-on engineering capabilities.
✨Understand the Science
Familiarise yourself with key concepts in proteomics and omics data processing. Being able to speak knowledgeably about biomarker discovery workflows or LC-MS/MS data will show that you can bridge the gap between biology and technology effectively.
✨Emphasise Collaboration
This role requires working closely with scientists and developers. Prepare examples of how you've successfully collaborated in past roles, focusing on clear communication and teamwork to improve analysis workflows or build new features.
✨Demonstrate Problem-Solving Skills
Expect to face technical challenges during the interview. Be ready to discuss how you've approached complex problems in the past, particularly in a fast-paced environment. Show your ability to think critically and develop practical solutions.