Data Engineer

Next-gen diagnostics start-up Take ownership of data strategy and architecture from the ground up.

Applying for this role is straight forward Scroll down and click on Apply to be considered for this position.

Flexible, remote-first working with visits to a high-impact biotech lab.

Cutting-edge work combining AI, genomics, and diagnostics to save lives.

We’re working with a biotech start-up that’s tackling one of modern medicine’s biggest challenges.

They’ve built a next-generation diagnostic device and with AI, machine learning, and their own DNA sequencing tech in play, they’re solving incredibly complex problems at the intersection of science and software.

What you’ll be doing: Following a successful product launch and securing Series A funding, they’re scaling fast and now looking for their very first Data Engineer.

You’ll take the reins on all things data

• shaping the architecture, strategy, and pipeline design that supports a life-saving platform.
  
  You’ll 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.
  
  This role combines classic data engineering work with data management strategy, data lineage tracking, and storage infrastructure design; from cold archiving through to high-speed access for ML models, you’ll be the go-to person.
  
  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 lead role with real autonomy, and to shape how data is handled across the company.
  
  What experience you’ll need to apply: A Master’s or PhD in Computer Science, Data Science, Bioinformatics, or similar/equivalent experience 4 years in a data engineering or similar role, building and maintaining data pipelines Experience with various cloud platforms (as opposed to specialised in one) such as AWS, GCP and Azure Strong experience with Python and SQL Experience working with data lakes, warehouses, and large-scale datasets Understanding of data privacy and security principles Exposure to life sciences, genomics, or regulated medical environments (such as ISO 13485) Comfortable working across both on-premise and cloud-based data systems Clear communicator, able to translate complex data concepts to cross-functional teams Bonus points for experience with: DevOps tools like Docker, Kubernetes, CI/CD Big data tools (Spark, Hadoop), ETL workflows, or high-throughput data streams Genomic data formats and tools Cold and hot storage management, ZFS/RAID systems, or tape storage AI/LLM tools to accelerate data workflows What you’ll get in return: You’ll 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).
  
  Salary is £52,000 – £57,000 depending on experience.
  
  They also offer a wellbeing budget, generous maternal/parental leave, and flexible hours around a core schedule.
  
  What’s next? Apply with your updated CV, and we’ll 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.