Genomics England

HQ
London
Total Offices: 2
543 Total Employees
Year Founded: 2013

Jobs at Genomics England

Let Your Resume Do The Work
Upload your resume to be matched with jobs you're a great fit for.

Healthtech • Biotech
Designs and develops scalable Python backend services, REST APIs, microservices, and AWS cloud applications supporting genomic healthcare and research. Responsibilities include database integration, identity and access management, test automation, troubleshooting, feature ownership, and collaboration with frontend, QA, platform, and external teams. The role also involves maintaining reliable infrastructure, contributing to technical specifications, and mentoring junior engineers.
Healthtech • Biotech
Develop and maintain secure, scalable Python backend services, REST APIs, relational database solutions, AWS resources, and automated testing frameworks. Contribute to frontend development using JavaScript and Next.js, troubleshoot application issues, and collaborate with software, QA, and platform engineers. The role supports genomic analysis and clinical decision-making through the Decision Support System used for whole genome sequencing interpretation.
Healthtech • Biotech
Develop and maintain scalable Python data-processing systems for genomic and long-read sequencing workflows. Design resilient AWS services, distributed big-data systems, microservices, containerized solutions, and automated testing frameworks across cloud and on-premises infrastructure. Troubleshoot issues, collaborate in an agile environment, and assess emerging sequencing technologies supporting clinical genome research.
Healthtech • Biotech
Design, build, and optimize scalable data pipelines and processing systems for sensitive clinical and genomic data. Develop AWS-based data solutions, models, storage, orchestration, quality controls, testing, automation, and observability. Support secure data acquisition, transformation, lineage, metadata, de-identification, and delivery while collaborating with engineering and specialist teams. Enable research, machine learning, and visualization through reliable data products and contribute to organization-wide data engineering practices.