Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Senior Data Engineer Genomic Data

ADLIB Recruitment
London
18 hours ago
Create job alert

Next-gen diagnostics start-up
Take ownership of data strategy and architecture from the ground up.
Flexible, remote-first working with visits to a high-impact biotech lab.
Cutting-edge work combining AI, genomics, and diagnostics to save lives.
Were working with a biotech start-up thats tackling one of modern medicines biggest challenges. Theyve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, theyre solving incredibly complex problems at the intersection of science and software.

What youll be doing:
Coming in as the Senior Data Engineer, youll take the reins on all things data - shaping the architecture, strategy, and pipeline design that supports a life-saving platform.

Youll be leading on the design and implementation of scalable, secure data pipelines - getting experimental and genomic data into formats that data scientists and machine learning engineers can easily work with. You'll be collaborating closely with engineers and scientists, helping to bridge the gap between their experiments and actionable data. That might mean streaming data off DNA sequencers, integrating with LIMS systems, or improving how they trace results back to original experiments.

This is a great opportunity for someone looking to step up into a role with real autonomy, and to shape how data is handled across the company.

What experience youll need to apply:
4+ years in a data engineering or similar role, building and maintaining data pipelines
Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) or significant work within this sector/environment
Exposure to genomic data formats and tools
Exposure to GCP
Strong experience with Python and SQL
Experience working with data lakes, warehouses, and large-scale datasets
Understanding of data privacy and security principles
Comfortable working across both on-premise and cloud-based data systems
Clear communicator, able to translate complex data concepts to cross-functional teams
A Masters or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience

What youll get in return:
Youll join a purpose-driven start-up doing incredibly meaningful work, with a flexible, remote-first culture and the autonomy to make a big impact. The role is mostly remote, with monthly trips to their Bristol lab (travel costs covered).

A competitive salary plus a wellbeing budget, generous maternal/parental leave, and flexible hours around a core schedule.

Whats next?
Apply with your updated CV, and well review your application as soon as possible to set up a call and discuss the role further! For any questions, feel free to ping Tegan an email!

Please note, this role is exclusive to ADLIB and any speculative CVs from other recruiters will be forwarded to us.
TPBN1_UKTJ

Related Jobs

View all jobs

Senior Data Engineer (Analytics Platform)

Senior Data Engineer - Pathogen

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.