UK remote
Bioinformatics Engineer (we have office locations in Cambridge, Leeds & London)
About this role
We are seeking a Bioinformatics Engineer that will be based in Genomics England Platform DSS squad. As a Bioinformatics Engineer within the Interpretation Platform, the squad plays a pivotal and vital role in developing and advancing the data platform underpinning our user facing decision support system. Built on AWS services and bespoke python software, the product supports the data life cycle and integration of data from our Bioinformatics Pipelines and other scientific databases, which powers the cancer and rare disease interpretation decision support front ends.
This is a role for someone that loves solving problems in an environment of complex data, making that data accessible at speed, to enable the analysis and interpretation for the purposes of diagnosis, prognosis and treatment of rare disease and cancer. Everyday responsibilities include: Produce high-quality code for high throughput sequencing data analysis, genome analysis and interpretation. Contribute to all testing and deployment stages up to the production environment.
Contribute to discovery tasks during the initial phase of new developments and achieve understanding of early-stage decisions to inform the final software design. Write documentation that will achieve a log of decisions, designs, tests, results etc. that enable full traceability of processes. Be a proactive member of a squad, adopting agile practices, offering subject matter expertise. Ensure adherence to the various standards and accreditations required for both clinical laboratory practice and software delivery.
Skills & Experience for Success: Excellent Python coding skillset. Solid skillset in Bioinformatics, understanding of the standards, data formats and tool chains used in Next Generation Sequencing (NGS) and clinical genomics. Familiarity with NGS tertiary annotation tools and databases. Proficient in Linux, Git, Postgres (or similar RDBMs). Solid expertise of developing production quality algorithms and software to analyse large data sets.
Excellent technical writing skills. Experience of working in agile environments and demonstrable effectiveness working in agile squads. Experience in building code using CI/CD. Desirable skills/experience: Experience working with AWS serverless technologies including lambda, step functions,S3. Experience working with containerised applications (Docker) MSc equivalent or higher in Software Engineering, Computer Science, Bioinformatics or equivalent experience.