Data Engineer (Health Technology) Imperial

22 Mar 2024
Job Information

Organisation/Company

UK Dementia Research Institute

Research Field

Neurosciences

Researcher Profile

First Stage Researcher (R1)

Country

United Kingdom

Application Deadline

17 Apr 2024 - 17:00 (Europe/London)

Type of Contract

Temporary

Job Status

Full-time

Hours Per Week

35

Offer Starting Date

20 May 2024

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Reference Number

MED04506

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

Dementia is the biggest health challenge of our century.

 

To date there is no way to prevent it or even slow its progression, and there is an urgent need to fill the knowledge gap in our basic understanding of the diseases that cause it.

 

The UK Dementia Research Institute (UK DRI) is the biggest UK initiative driving forward research to fill this gap.

 

The UK DRI at Imperial brings together researchers from diverse backgrounds with fresh perspectives, drawing on the university’s unique strengths, resources and focus on science, engineering, medicine and business. The team recognises that the challenges of dementia demand new concepts, new approaches and a diverse range of new research tools and directions. Their holistic approach views the ageing brain in the context of the ageing body, not in isolation.

 

 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.

Duties and 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.

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.

Requirements

Research Field

Neurosciences

Education Level

Bachelor Degree or equivalent

Skills/Qualifications

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.

Additional Information
Benefits

Imperial College London offers a range of excellent staff benefits, including a pension scheme with generous employer contributions, 25 days of annual leave for full time staff plus additional public holidays and closure days, family-friendly policies and enhanced maternity/adoption and shared parental pay.

 

Please visit the Imperial College London website for a full list of all benefits available to staff: https://www.imperial.ac.uk/human-resources/working-at-imperial/benefits/ .    

Work Location(s)

Number of offers available

1

Company/Institute

UK DRI at Imperial College London

Country

United Kingdom

State/Province

White City Campus

City

London

Postal Code

W12 0BZ

Street

White City Campus, Imperial University

Geofield

Where to apply

Website

https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=18292&j…

Contact

State/Province

White City Campus

City

London

Website

https://ukdri.ac.uk/

Street

White City Campus, Imperial University

Postal Code

W12 0BZ

STATUS: EXPIRED