Senior Data Engineer

At LabGenius, our mission is to accelerate the discovery of next-generation therapeutic antibodies. To do this, we’ve pioneered the development of EVA™ – a smart robotic platform that’s capable of designing, conducting and, critically, learning from its own experiments. For our wholly-owned pipeline, we’re using our closed-loop discovery engine to establish a pipeline of highly selective T-cell engagers and ADCs for the treatment of solid tumours. LabGenius has raised >£58M and is backed by top-tier investors, including M Ventures, Octopus Ventures, LG Corp, Atomico, Kindred Capital, Lux Capital and Obvious Ventures amongst others. The company is headquartered in London (UK) where we’ve established a state-of-the-art antibody engineering facility. The company is staffed by a multidisciplinary team of more than 50 scientists and engineers.

As a Senior Data Engineer at LabGenius, you will collaborate with our talented team of scientists, data scientists and software engineers to deliver our ambitious internal and partnered drug discovery programmes, helping us build a future where AI rapidly engineers novel, life-enhancing biotherapeutics. You will do this by building tools and services which automate experiments and process scientific data at scale.

What you’ll do in this role:

• Build robust, maintainable, and secure data pipelines to structure experimental data so that it is accessible to scientists and data scientists across the organisation.
• Use Google Cloud Platform to deploy and manage secure data infrastructure.
• Work closely with lab and data scientists to gather requirements, understanding experimental workflows and prioritising data needs.
• Help manage our ELN/LIMS system, to ensure robust capture of raw and analysed data.
• Work with Data Scientists to productionise our machine learning drug discovery platform.

What we’re looking for:

• Strong proficiency with Python and SQL in a production environment.
• Strong DBT experience.
• Experience in Data Warehouse design, using a major cloud product e.g. BigQuery/Redshift/Snowflake.
• Understanding of denormalized data models.
• Experience building and maintaining ETL/ELT pipelines to ingest data from a variety of data sources, including data files and PostgreSQL databases.
• Experience ingesting data from an ELN/LIMS system, such as Benchling, is a plus.
• Experience deploying and managing data infrastructure in a cloud environment, e.g. GCP, AWS or Azure.
• Familiarity with the principles of relational database design, e.g. normalization.
• Experience building dashboards for scientific analytics, ideally using Spotfire.
• Eagerness to learn about molecular biology, protein engineering and automation to be more effective in the job.
• Previous experience working in the Pharmaceutical or Biotechnology industry is desirable, but not essential.

What you’ll receive from us:

• Discretionary performance-linked annual bonus.
• A generous stock option plan.
• 3x Salary Life Insurance with YuLife.
• Health Shield Cash Back Plan on day-to-day health expenses.
• 5% pension, with an additional top up on tax savings from us.
• Private Medical Insurance, including dental and optical (currently with AXA).
• Discounted gym membership through either AXA or HealthShield.
• 24/7 access to GP Services.
• Access to the Cycle to Work scheme: to make your commute cheaper, healthier and a whole lot greener.
• Easy access to the on-site gym and climbing wall to break a sweat or indulge your inner monkey available at competitive rates.
• 25 days annual leave (plus the bank holidays).
• Up to 20 days paid sick leave (including mental health days - no questions asked).
• 3 days paid emergency leave so it doesn’t eat into your relaxation time.
• 1 week paid bereavement leave plus 1 day to attend a funeral.
• 1 day paid for moving home.

Employee Assistance Programme including access to coaching and CBT sessions. Weekly team lunches through Feedr. A programme of social events both company-wide and within your own teams.