Hlx Life Sciences
Associate Director Data Engineering

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Associate Director Data Engineering
Data Engineering Lead
📍 London, UK | Hybrid (3 days onsite) | Full-time
We're partnering with an innovative TechBio company transforming drug discovery through data, machine learning, and multi-omics research.
We're looking for a Data Engineering Lead to lead the development of scalable scientific data platforms that power cutting-edge biological research. You’ll manage a team of Data Engineers while partnering closely with scientists, bioinformaticians, and software engineers to deliver robust data infrastructure and pipelines.
About the Role
Lead and mentor a team of Data Engineers. Build and scale data platforms supporting large-scale scientific and omics datasets. Develop and optimise ETL pipelines and workflow orchestration frameworks. Drive data governance, data quality, and FAIR data principles. Partner with cross-functional teams across biology, data science, and engineering. Deliver production-grade data infrastructure on cloud and HPC environments.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
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No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Requirements
Experience leading data engineering teams in biotech, genomics, healthcare, or scientific computing environments. Strong Python and SQL skills. Expertise with cloud platforms (AWS, GCP, or Azure). Experience with workflow orchestration tools such as Nextflow, Dagster, or Airflow. Knowledge of Kubernetes, CI/CD, and modern data platform engineering practices. Background in bioinformatics, genomics, or large-scale scientific data management is highly desirable.


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This is an opportunity to join a mission-driven organisation where data and technology are central to accelerating the discovery of new medicines.
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