Research Assistant/Associate (Software Developer/DevOps Engineer) Biomedical Image Analysis

Imperial College London - Department of Computing

Research Assistant salary range: £32,380 to £34,040 per annum

Research Associate salary range: £36,800 to £44,220 per annum

Fixed Term appointment up to 31st August 2019

The Biomedical Image Analysis Group (BioMedIA) is part of the Department of Computing which is a leading department of Computer Science among UK Universities. It has consistently been awarded the highest research rating (5*) in Research Assessment Exercises (RAE), coming 2nd in the 2008 RAE, and was rated as "Excellent" in the previous national assessment of teaching quality. For further information about the group and related projects see: biomedia.doc.ic.ac.uk.

We are seeking to appoint a Research Assistant/Associate as part of BioMedIA to develop an image and clinical data management system for the Developing Human Connectome Project (dHCP – developingconnectome.org). This European funded project will develop and apply novel, cutting-edge magnetic resonance (MR) methods to record structural and functional cerebral connectivity during early life, creating the first mapping of the developing human macro-connectome.

The successful DevOps engineer will enable state-of-the-art scientific progress by building a bespoke infrastructure to support the organisation, processing and management of large-scale image and clinical data collection and storage that can be accessed via web-based user interfaces. You will help provide the data we gather and tools for connectomic analysis, together with associated genetic, neurodevelopmental and clinical information within a user-friendly informatics platform for access by the world research community, and carry out exemplar, ground-breaking studies into normal and abnormal brain development.

The key element in this project is the ability to collect, manage and process data at very large scale. Experience with Cluster Management and Orchestration frameworks (Kubernetes, Mesos,) and container technologies (Docker) is essential. The ideal candidate will have at least basic knowledge of modern web development technologies including REST APIs and microservices. Experience with Continuous Integration / Delivery (Jenkins, Gitlab CI) would also be appreciated.

At Research Assistant level you will have an excellent undergraduate degree (or equivalent) in a relevant discipline with a particular interest in software and systems engineering, cloud computing and containers. At Research Associate level you must have a PhD (or equivalent) in a subject relevant to medical imaging with particular expertise in medial image computing and/or software engineering. Preference will be given to applicants with a proven software engineering track record and excellent programming skills.

All applicants must be fluent in English.

How to apply:

Our preferred method of application is online via our website: www3.imperial.ac.uk/employment

Please select “job search” then enter the job title or vacancy reference number EN20170310LE into “keywords”.  Please complete and upload an application form as directed.

Applications must include:

  • A college application form
  • A full CV
  • A two-page statement indicating what you see are interesting research issues relating to the above post and why your expertise is relevant.
  • Any element relating your experience / passion for software engineering (blog, open source projects, github repositories and others) will be carefully inspected.

Should you have any queries regarding the application process please contact Georgina Tennant: g.tennant@imperial.ac.uk

Committed to equality and valuing diversity. We are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Two Ticks Employer, and are working in partnership with GIRES to promote respect for trans people

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