Data Engineer (Health Technology)

Location: White City, London

Job Summary

This is a rare opportunity to join a multi-functional team building a unique health technology platform that supports the care of people affected by dementia and other conditions. We are seeking a data and machine learning engineer motivated by the chance to address exciting technical challenges while working on Minder, a project with the potential to deliver positive impact to individuals and broader society. You will have an influential role in designing, deploying, managing and using infrastructure for data analysis as the platform is rolled out in a growing number of care settings.

You will be working alongside dedicated software developers, clinical researchers, data scientists, healthcare professionals and designers. We use an agile development methodology, following industry-standard software and data engineering processes for version control, build automation and continuous delivery. The role is multifaceted and will inevitably evolve as Minder becomes an increasingly intelligent platform, but you can expect to be working on infrastructure and code for data management, analysis and visualisation, alongside supporting the development and overseeing the deployment of machine learning models. 

This position is within the UK DRI Care Research and Technology Centre at Imperial College London, which has been established to address a medical research area of the highest importance and future impact as one of seven new national centres of excellence embedded in major UK universities. We are looking for a suitably qualified candidate, regardless of background, to become a valued member of a highly capable team based at a prestigious research institution. Imperial College provides enthusiastic and curious individuals with a broad range of employee benefits, including extensive opportunities for personal development. 

Responsibilities

On a day-to-day basis you’ll be interfacing with our existing software engineering and data science teams: deploying tools to ensure that up-to-date data is made available to data scientists in useful formats, assisting them to develop and deploy their machine learning models, and providing tools for exploratory data analysis and visualisation. This will involve responsibility for building the relevant cloud infrastructure i.e. planning, implementation, QA and maintenance and will require knowledge of Python, SQL, cloud data warehouses, workflow orchestration tools and distributed compute frameworks with Kubernetes and/or Azure.

Essential requirements

• Degree level qualification in data science, software engineering or related discipline, or equivalent professional experience.
• Significant experience of data engineering including workflow management platforms, data warehousing solutions and data transformation tools
• Use of cloud-native infrastructure
• Development of machine learning algorithms/pipelines

Further Information

This is a full-time and fixed term (24 months) role based on White City Campus

Should you require any further details on the role please contact Mark Woodbridge m.woodbridge@imperial.ac.uk or Anna Joffe a.joffe@imperial.ac.uk. 

Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview.

More information is available on the following web page: Work Location Framework | Administration and support services | Imperial College London

Closing date: 17/04/2024

Apply online via the above ‘Apply’ button.

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