• Help expand and maintain our in-house Life Sciences tools and pipelines, planning your own work and contributing code to a shared codebase alongside Research Engineering team members, Software Engineers and Data Scientists.
• Implement algorithms developed within our Life Sciences teams to a high standard of robustness, testing and performance.
• Run high-quality analyses of large-scale biological datasets using existing or bespoke tools, and share your findings with scientists and other stakeholders.
• Contribute to internal and external presentations and publications arising from our work.
• Keep your knowledge current on innovation and good practice in genomics, data science and scientific computing.

At Senior (IC3) level, you'll also lead projects that need integrated updates across multiple tools, coordinating with cross-disciplinary teams to deliver value.

Who You Are

Essential

• A strong quantitative background in a scientific field, with the ability to explain complex ideas to specialists and non-specialists alike.
• Skilled at writing high-quality Python code using modern software development practices.
• Confident analysing and learning from large-scale datasets in a scientific context.
• Experienced running tools and workflows in a scalable system, for example Linux based HPC environments or on cloud systems.
• Comfortable using LLM programming assistants appropriately within a research software environment.

It'd be great if you also have

• Experience working on a collaborative codebase using version control and CI/CD.
• Familiarity with common bioinformatics and genomics tools and file formats.
• Experience designing and running large-scale workflows, e.g. WDL, CWL.
• Experience working in remote, cloud-based environments, e.g. AWS.
• Experience creating and working with containers, e.g. Docker, Singularity.
• Additional programming languages, particularly R or C++.
• A PhD or postgraduate degree in a scientific field, ideally genomics, bioinformatics or computational biology, with familiarity in statistics and machine learning.
• Prior experience working in a team, ideally in an industry setting.

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.

Compensation & Growth

• Competitive Salary: Salaries are externally benchmarked annually to ensure competitive compensation.
• Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
• Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off

• Holiday: 25 days annual leave, plus bank holidays, plus an extra 3-day company-wide shutdown at year-end.
• Financial & Health Security: Robust benefits including a market-leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
• Enhanced Leave: Enhanced paid family leave to support all new parents.

Work Environment & Culture

• Flexible Working: Hybrid Working (e.g., From our London, Oxford Office)
• Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
• Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.
• Green Commute: Cycle-to-Work scheme and convenient office locations near major transport hubs.

Ready to Build the Future?

If this opportunity excites you, apply now!

We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.