Head of Data Engineering

2 weeks ago

Oxford, United Kingdom Global Pathogen Analysis Service Ltd Full time

Global Pathogen Analysis Service Ltd (GPAS Ltd) aims to revolutionize the diagnosis and treatment of infectious diseases by developing Whole Genome Sequencing- and metagenomic-based pathogen clinical analysis tools. We ultimately aim to develop an 'always-on global pathogen metagenomics system with the ability to identify Pathogen X and provide early warning of disease epidemics.' 

Built by a long-established world-leading pathogen genomics team from the University of Oxford, supported by the cloud computing scale and security of Oracle Inc, and generously funded by Larry Ellison, GPAS is a global, turn-key solution that systematizes how data from genomic sequencing is processed. 

Progressing from our successful Sars-CoV-2 and Mycobacterium tuberculosis toolsets, GPAS Ltd is scaling at pace to develop and deliver speciation, AMR prediction, and relatedness solutions to laboratories, hospitals, and public health organizations around the globe. 

The Role: 

As the Head of Data Engineering you’ll have an amazing opportunity to work with some of the sharpest minds on one of the most cutting-edge software as a service (SaaS) tool in the pathogen analysis market. You'll play a pivotal role in leading and shaping our data strategy and infrastructure, driving us towards our mission of leveraging technology for global health impact. 

There will be two key strategic and deliverable elements to the role:  

  1. To lead on the infrastructure strategy and integration of pipelines to support the analysis platform, integrating metadata & results data into the data warehouse. 
  2. Oversee the build of a platform that enables collaborative research, utilising the data in a secure and controlled environment.  

Initially reporting directly to the CTO, you will play a foundational role in a team which is intended to grow rapidly. Being able to build a future proofed, scalable data infrastructure and platform to deliver on these two areas is vital to the position’s success. As part of your role, you will have the opportunity to work closely with the team at the University of Oxford. You will be comfortable working across the tech stack, potentially learning new technologies.   

You are likely a mission focused person, who is happy to be flexible in their role to meet the end goal. Overtime, the data team will grow, and enable a more specialised approach, with leadership responsibility.

We have applications spanning from research and pathogen surveillance through to clinical use around the world and in line with our strategy, the platform will be scaled with users, pathogen pipelines and data aggregation. We’d love it if you take pride in your work and proactively suggest ways to improve our product, platform, and processes.

Primary Responsibilities: 

  • Developing and executing strategic technical roadmaps 
  • Leading the design and implementation of data storage architectures and data warehousing solutions 
  • Collaborating with research teams to integrate new bioinformatics pipelines. 
  • Driving efficiency in data storage and processing to manage cloud costs. 
  • Managing and mentoring a team of data engineers 
  • Ensuring compliance with data regulations and best practices in sensitive data management 

Requirements

We are looking for someone with: 

  • Significant experience in data architecture, particularly in warehousing. 
  • Expertise in data regulations and sensitive data management. 
  • Experience leading teams, both direct and through in-direct line management. 
  • Experience working with development agencies and external strategic partners. 
  • Experience across some of our tech stack:
    • Python3  
    • SQL  
    • Linux  
    • Terraform  
    • Kubernetes  
    • Cloud providers (ideally Oracle)  

Nice to haves:

  • ETL/ELT pipelines design, development, and test.
  • Oracle Cloud experience. 
  • Knowledge of appropriate architectures for structured and unstructured data. 
  • Experience in health data or genomic data. 
  • Familiarity with trusted research environments and secure data environments. 
  • Working on Saas built products. 
  • ISO 13485, ISO27001, HIPAA and GDPR. 

Benefits

What we can offer:  

We’re a close knit, collaborative small team. We’re building a team with a people-first culture. Joining GPAS is an opportunity to help shape a cutting-edge technology with the capability to dramatically improve clinical diagnostics and treatment.    

  • Competitive salary  
  • Additional employer contribution to the workplace pension scheme  
  • Hybrid working arrangement
  • Enhanced sick pay   
  • Group life cover   
  • Employee assistance programme  
  • Generous company holiday allowance, with carry-over into the next year and additional compassionate leave  
  • Staff training budget  
  • Cycle to work scheme  
  • Volunteering days  
  • Home working set-up cost contribution   
  • Access to Bright Exchange that provides special offers from a wide range of companies  

GPAS Ltd is committed to promoting equal opportunities in employment, and actively encourages applications from under-represented groups in society. We are open to applications for part-time and flexible working arrangements. 

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