Job at a glance
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.
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.
We have four key behaviours that represent what we would like Genomics England to feel like and the culture we want to encourage, in order for us to achieve our mission. These behaviours help us all work well together, deliver on our outcomes, celebrate our successes and share feedback with each other. You can read about these and other aspects of our culture here Culture | Genomics England, Genomics England operates a blended working model as we know our people appreciate the flexibility that hybrid working can bring.
We expect most people to come into the office a minimum of 2 times each month. However, this will vary according to role and will be agreed with your team leader. There is no expectation that people will return to the office full time unless they want to, however, some of our roles require full time on site attendance e.g., lab teams, reception team. Our teams and squads have, and will continue to reflect on what works best for them to work together successfully and have the freedom to design working patterns to suit, beyond the minimum.
Our office locations are: Canary Wharf, Cambridge and Leeds. Being an integral part of such a meaningful mission is extremely rewarding in itself, but in order to support our people, we're continually improving our benefits package. We pride ourselves on investing in our people and supporting them to achieve their career goals, as well as offering a benefits package including: Generous Leave: 30 days' holiday plus bank holidays, additional leave for long service, and the option to apply for up to 30 days of remote working abroad annually (approval required).
Family-Friendly: Bl