Genomic Data Operations Engineer

Genomics; Greater London; Hybrid; GBP 70,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Pension plan

Private health insurance

Flexible holidays

Job summary

Genomics in the United Kingdom is seeking a Data Engineer to turn large, complex genomic datasets into trusted, analysis-ready resources. You’ll join a small, high‑impact team responsible for data transformation, harmonisation and quality control across automated workflows and pipelines.

You’ll work closely with software engineers and scientists in an agile setting, shaping schemas for new data types and expanding our genomic data resource.

Qualifications

• Grounded in human statistical genetics; hands-on work with GWAS statistics and/or large-scale genotype/phenotype data.
• Proficient in Python and Unix/Linux; experience in bioinformatics or data-engineering in research or commercial setting.
• Able to read complex data-quality outputs and apply scientific judgement to resolve issues.
• Well organised and able to plan, prioritise and deliver across competing tasks at pace.
• Strong communicator; works well in multi-disciplinary teams and independently.
• Educated to BSc or higher in bioinformatics, computational biology, human genetics or similar, or equivalent experience.

Responsibilities

• Ingesting large-scale genetic and genomic datasets through scripting, automated pipelines and Linux-based processing.
• Interpret QC metrics and diagnostic plots; investigate anomalies and resolve data-quality issues.
• Configure workflow parameters and curate dataset metadata for accurate representation and description.
• Collaborate with software engineers and developers in an agile setting to diagnose pipeline issues and improve ingestion and QC processes.
• Contribute to schema design for new data types and help expand the genomic data resource.

Skills

GWAS statistics

Python

Unix/Linux

Data quality interpretation

Communication

Education

BSc or higher in bioinformatics

Job description

Role Purpose

Data is the foundation of everything we do. Our Data Engineering team owns the end-to-end journey of the genomic datasets that power both our commercial products and our internal science - from disease-risk insights that reach real patients, to the discovery of novel therapeutic targets.

As a Data Engineer in this small, high-impact team, you'll turn large, complex and scientifically consequential datasets into trusted, analysis-ready resources. Your focus will be data transformation, harmonisation and quality control: working within established automated workflows, but bringing the statistical-genetics judgement to know when the numbers don't add up - and the curiosity to find out why.

As you grow, you'll take on broader work - helping define schemas for new data types and shaping how we expand our genomic data resource. It's a genuine intersection of data engineering, data modelling and genetics, with real scope to develop across both technical and scientific dimensions.

A Day in the Life

• Moving data in: ingesting large-scale genetic and genomic datasets - GWAS summary statistics, individual-level genotype and phenotype data - through a mix of scripting, automated pipelines and hands‑on processing in a Linux environment.
• Safeguarding quality: interpreting QC metrics and diagnostic plots, investigating anomalies, and applying sound scientific judgement to resolve data‑quality issues.
• Getting the detail right: configuring workflow parameters and curating dataset metadata so every dataset is correctly represented, fit for scientific use, and clearly described for internal scientists and external customers.
• Collaborating: partnering with software engineers and developers in an agile setting to diagnose pipeline issues, define requirements and continuously improve our ingestion and QC processes.
• Growing: contributing to schema design for new data types and helping expand our genomic data resource alongside science, product and engineering

Who You Are

• Grounded in human statistical genetics, with hands‑on experience of GWAS summary statistics and/or large‑scale individual‑level genotype and phenotype data.
• Proficient in Python and Unix/Linux, and able to point to real bioinformatics or data‑engineering work in a research or commercial setting.
• Confident reading complex data‑quality outputs, and able to use scientific judgement to investigate and resolve issues.
• Well organised – happy to plan, prioritise and deliver across competing tasks at pace.
• A strong communicator who works well across multi‑disciplinary teams and just as effectively on your own.
• Educated to BSc or higher in a relevant discipline - bioinformatics, computational biology, human genetics or similar - or with equivalent experience

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 top‑of‑market 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.
• 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.
• 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?

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.