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- Tasks: Design and optimise cloud environments for bioinformatics data processing.
- Company: Join a dynamic biotech start-up in Edinburgh focused on RNA sequencing and precision medicine.
- Benefits: Enjoy competitive pay and company perks in a supportive, collaborative environment.
- Why this job: Make a real impact on scientific discovery while working with cutting-edge technology.
- Qualifications: Degree in Computer Science or Bioinformatics with 3+ years of relevant experience required.
- Other info: This is a unique opportunity to shape the future of biotechnology.
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.
Software Engineer 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
✨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 better 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 webinars, and connect with people on platforms like LinkedIn. This can provide insights into the company culture and potentially lead to referrals.
✨Tip Number 3
Brush up on your cloud computing skills, particularly with platforms like AWS, GCP, or Azure. Consider working on personal projects that involve building data analysis pipelines, as this practical experience can set you apart from other candidates.
✨Tip Number 4
Prepare to discuss your previous experiences with software quality assurance practices. Be ready to share specific examples of how you've implemented version control, testing, and documentation in past projects, as these are crucial for the role.
We think you need these skills to ace Software Engineer
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, Perl, and Bash, as well as any cloud computing experience you have.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the biotech field and the specific role. Mention how your background aligns with the company's mission to advance precision medicine and how you can contribute to their projects.
Showcase Relevant Projects: If you have worked on projects related to RNA sequencing or bioinformatics, be sure to include these in your application. Describe your role, the technologies used, and the impact of your work.
Highlight Soft Skills: The company values strong communication and collaboration skills. In your application, provide examples of how you've successfully worked in cross-functional teams and solved complex problems.
How to prepare for a job interview at Cranleigh STEM, Sustainability & SHEQ Recruitment
✨Showcase Your Technical Skills
Be prepared to discuss your experience with software engineering and DevOps, particularly in a research setting. Highlight specific projects where you've worked with RNA sequencing data and the tools you've developed.
✨Demonstrate Collaboration
Since this role involves working closely with biologists and data scientists, be ready to share examples of how you've successfully collaborated across disciplines. Emphasise your communication skills and ability to work in a team-oriented environment.
✨Discuss Problem-Solving Approaches
Prepare to talk about complex problems you've encountered in your previous roles and how you approached solving them. This will showcase your thoughtful problem-solving abilities and strategic mindset.
✨Familiarise Yourself with the Company’s Mission
Research the biotech start-up's mission and values, especially their focus on precision medicine. Being able to articulate how your skills and experiences align with their goals will demonstrate your genuine interest in the position.
