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.
Bioinformatic Software Engineer requirements:
* 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.
Desirable experience:
* 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.
Personal Attributes:
* 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
Bioinformatics/Software Engineering/RNA Seq/Python