Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and optimise cloud environments for bioinformatics data processing.
- Company: Join a cutting-edge biotech start-up in Edinburgh focused on RNA sequencing and precision medicine.
- Benefits: Enjoy competitive pay and company perks in a dynamic work environment.
- Why this job: Make a real impact on scientific discovery while collaborating with diverse experts.
- Qualifications: Degree in Computer Science or Bioinformatics with 3+ years of relevant experience required.
- Other info: This is a unique opportunity to shape technology in a growing start-up.
The predicted salary is between 36000 - 60000 £ per year.
Join an exciting biotech start-up in Edinburgh that’s developing next-generation technology relating to RNA sequencing, bioinformatics, and diagnostic development. Backed by academic expertise and driven by a mission to advance precision medicine, this agile team is developing tools to transform how RNA is discovered and analysed. As the company scales, it’s looking for a Bioinformatic Software Engineer to lead the build-out of cloud infrastructure and analysis pipelines critical to its technology platform.
This is an opportunity to join a growing, cross-functional team working on meaningful challenges in biology and data science, where your ideas and engineering skills will have a direct impact on product development and scientific discovery.
Bioinformatic Software Engineer responsibilities:- Design, develop, optimise, and maintain cloud computing environments for bioinformatic data processing.
- Build scalable, well-documented data analysis pipelines for long-read RNA sequencing workflows.
- Develop and implement logging, reporting, and data archiving systems to support reproducible research.
- Lead software engineering best practices, including testing, version control, deployment, and documentation.
- Generate visualisations and reports to communicate key findings from complex transcriptomic datasets.
- Collaborate closely with biologists, data scientists, and product stakeholders across the business.
- Proven software engineering and DevOps experience within a research or R&D setting.
- Strong understanding of sequencing data analysis, particularly read alignment and variant calling algorithms.
- Degree educated in Computer Science, Bioinformatics, or a related field.
- At least 3 years' relevant experience, ideally with RNAseq data and associated tool development.
- Solid programming skills in object-oriented languages and scripting languages (e.g. Python, Perl, Bash).
- Experience with software quality assurance practices such as version control, testing, and validation.
- Commercial experience in a software or biotech setting.
- Cloud computing experience (e.g. AWS, GCP, or Azure).
- Familiarity with Unix/Linux systems.
- Knowledge of transcriptomic technologies such as Illumina, PacBio, or Nanopore.
- Understanding of transcriptome annotation and the impact of alternative splicing.
- Skills in R, C++, or similar for statistical analysis and visualisation.
- Curious and proactive, with a desire to learn and ask questions.
- Strong communicator, able to collaborate across disciplines.
- Thoughtful problem-solver with a strategic mindset.
- Open, respectful, and team-oriented in working style.
This is a rare chance to join a well-supported start-up at an exciting stage of growth. You will be working on complex scientific problems with a direct line to product impact, in a collaborative environment where your contributions will shape the company’s direction and technology.
£Comp + company benefits
Software Engineer (Digital Tech) employer: Cranleigh STEM, Sustainability & SHEQ Recruitment
Contact Detail:
Cranleigh STEM, Sustainability & SHEQ Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer (Digital Tech)
✨Tip Number 1
Familiarise yourself with the latest advancements in RNA sequencing and bioinformatics. This will not only help you understand the company's mission but also allow you to engage in meaningful conversations during interviews, showcasing your genuine interest in their work.
✨Tip Number 2
Network with professionals in the biotech and software engineering fields. Attend relevant meetups or conferences in Edinburgh to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 3
Brush up on your cloud computing skills, particularly with platforms like AWS, GCP, or Azure. Being able to discuss your experience with these technologies confidently will demonstrate your readiness to contribute to the company's cloud infrastructure needs.
✨Tip Number 4
Prepare to discuss specific projects where you've implemented software engineering best practices. Highlighting your experience with version control, testing, and documentation will show that you are aligned with the company's commitment to quality and reproducible research.
We think you need these skills to ace Software Engineer (Digital Tech)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in software engineering and bioinformatics. Emphasise your skills in programming languages like Python, as well as any experience with RNA sequencing and cloud computing.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for precision medicine and your understanding of the biotech industry. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Technical Skills: In your application, provide examples of your work with data analysis pipelines and cloud infrastructure. If possible, include links to any relevant projects or repositories that demonstrate your coding abilities and problem-solving skills.
Highlight Collaboration Experience: Since the role involves working closely with biologists and data scientists, mention any past experiences where you collaborated across disciplines. This will show your ability to communicate effectively and work as part of a team.
How to prepare for a job interview at Cranleigh STEM, Sustainability & SHEQ Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with cloud computing environments and RNA sequencing data analysis. Highlight specific projects where you've designed or optimised data pipelines, and be ready to explain the technologies you used, such as Python or AWS.
✨Demonstrate Collaboration
Since the role involves working closely with biologists and data scientists, share examples of how you've successfully collaborated in cross-functional teams. Emphasise your communication skills and how you approach problem-solving in a team setting.
✨Prepare for Technical Questions
Expect questions related to software engineering best practices, including version control and testing. Brush up on your knowledge of read alignment and variant calling algorithms, as these are crucial for the role.
✨Express Your Curiosity
The company values a curious and proactive mindset. Be ready to discuss what excites you about bioinformatics and precision medicine, and ask insightful questions about the company's technology and future direction.
