Overview

We are seeking a Bioinformatics Engineer based in the Genomics England Platform DSS squad. Within the Interpretation Platform, this role contributes to 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 Bioinformatics Pipelines and other scientific databases, powering the cancer and rare disease interpretation decision support front ends. This role focuses on solving problems in an environment of complex data, making data accessible at speed to enable analysis and interpretation for diagnosis, prognosis and treatment of rare disease and cancer.

Responsibilities

• 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 understand early-stage decisions to inform final software design.
• Write documentation that logs decisions, designs, tests, results, etc., enabling full traceability of processes.
• Be a proactive squad member, adopting agile practices and offering subject matter expertise.
• Ensure adherence to standards and accreditations required for both clinical laboratory practice and software delivery.

Qualifications

• Excellent Python coding skillset.
• Solid skillset in Bioinformatics, with understanding of 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, PostgreSQL (or similar RDBMS).
• Experience developing production-quality algorithms and software to analyse large data sets.
• Excellent technical writing skills.
• Experience working in agile environments and effectiveness in agile squads.
• Experience building code using CI/CD.

Desirable skills/experience

• Experience with AWS serverless technologies including Lambda, Step Functions, S3.
• Experience with containerised applications (Docker).
• MSc equivalent or higher in Software Engineering, Computer Science, Bioinformatics or equivalent.

Working arrangements

Genomics England operates a blended working model with a minimum expectation to come into the office a minimum of 2 times per month. Office locations are Canary Wharf, Cambridge and Leeds. Some roles require on-site attendance.

Benefits

• Generous Leave: 30 days' holiday plus bank holidays, additional long-service leave, and option to apply for up to 30 days of remote working abroad (approval required).
• Family-Friendly: Blended working arrangements, flexible working, enhanced maternity, paternity and shared parental leave benefits.
• Pension & Financial: Defined contribution pension (Genomics England double-matches up to 10%), Life Assurance (3x salary), Give As You Earn.
• Learning & Development: Individual learning budgets, support for training and certifications, reimbursement for one annual professional subscription.
• Recognition & Rewards: Employee recognition programme and referral scheme.
• Health & Wellbeing: Subsidised gym membership, Headspace account, Employee Assistance Programme, eye tests, flu jabs.

Equal opportunities: Genomics England is committed to an inclusive environment that promotes equity and diversity. We welcome applicants from all backgrounds and provide adjustments where needed to participate in the recruitment process. Our policies prohibit discrimination, harassment, victimisation or bullying and support inclusivity across age, disability, gender identity or reassignment, ethnicity, religion, sex and sexual orientation, and other protected characteristics.