Bioinformatics Engineer (we have office locations in Cambridge, Leeds & London) at Genomics England in Cambridge, England, United Kingdom

Job description

• 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.

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 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.

Requirements

• 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.
• MSc equivalent or higher in Software Engineering, Computer Science, Bioinformatics or equivalent experience.
• Experience working with AWS serverless technologies including lambda, step functions,S3.
• Experience working with containerised applications (Docker)

Skills

Required

• Python
• Bioinformatics
• NGS
• Clinical genomics
• Linux
• Git
• Postgres
• RDBMS
• CI/CD
• Agile
• Technical writing

Preferred

• Docker

Benefits

• 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: 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%, however you can contribute more if you wish), Life Assurance (3x salary), an Electric Vehicle salary sacrifice scheme and a Give As You Earn scheme.
• Learning & Development: Individual learning budgets, support for training and certifications, and reimbursement for one annual professional subscription (approval required).
• Recognition & Rewards: Employee recognition programme and referral scheme.
• Health & Wellbeing: Subsidised gym membership, a free Headspace account, and access to an Employee Assistance Programme, eye tests, flu jabs.
• Salary from: £57,700
• Closing date for applications - Thursday 1st October at Midnight