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  • Data Scientist (f/m/d) AI and Imaging Data Expert Postdoc

    06.02.2020 University of Dundee Dundee (Schottland)
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Data Scientist (f/m/d) AI and Imaging Data Expert Postdoc

Veröffentlicht am
06.02.2020
Bewerbungsfrist
08.03.2020
Vollzeit-Stelle
University of Dundee
Dundee (Schottland)
Data Scientist (f/m/d) - University of Dundee - Logo
SMED0670

Data Scientist, AI and Imaging Data Expert Postdoc

Full Time, Fixed Term for 36 months in the first instance with possible extension.
Are you a self-starter who loves problem solving, working with people and making a difference to health research? Do you get really excited by BIG data, innovative engineering, open source and applied AI? Do you have a background working in support of academic or clinical research projects? If so, then this could be the role for you!

We are recruiting for a Data Scientist, AI & Imaging Data Expert Postdoc. You will be working within the Health Informatics Centre (HIC - https://www.dundee.ac.uk/hic/) at the University of Dundee leading the technical development of a platform which will transform access to routinely collected clinical images at scale for research purposes. The role will also involve a significant element of collaborative work with the participants in the iCAIRD programme: https://icaird.com/.

The £3.8M PICTURES 5 year programme (https://www.dundee.ac.uk/news/2019/pictures-study-to-create-new-platform-to-help-tackle-major-health-issues.php) is highly innovative and brings together the NHS, academia and industry to make a real different to patients. This role will lead liaison between the two programmes to collaborate on academic research and technical delivery.

Your priorities will include:
  • Developing relationships between the teams across the two programmes, and turning these relationships into specific deliverable projects.
  • Identifying suitable areas for collaboration, both in academic research and software delivery.
  • Architecture, design and development of a large-scale software platform which manages over 2 Petabytes of data.
  • Contributing specialist imaging data domain knowledge to the software development team.
  • Developing and training AI algorithms, working with image data and natural language processing of text-based data.
  • Publishing our findings in relevant journals and presenting at conferences.
  • Promoting our research on the safe, secure and anonymised use of patient data to the general public.
Who we're looking for:
  • A doctorate-level degree in relevant subject.
  • Ideally extensive experience in software development and architecture.
  • An academic publishing record and interest in further publication
  • A desire to apply specialist expertise in support of fellow researchers in other fields.
  • Track record of effectively leading and managing change in a complex environment, and creating a culture of a positive, highly performing team.
  • Knowledge of clinical imaging data formats.
  • Skilled at engaging and influencing a range of internal and external stakeholders to work together to tackle problems and identify and deliver effective solutions.
  • Excellent interpersonal, listening and communications skills, both verbal and written.
  • Ideally experience of leading a team in complex projects.
This is an opportunity to advance your career with the delivery of high-profile, cutting-edge projects combining research into health data, ML and AI with service delivery for the public benefit.

We offer an excellent work - life balance and working environment, we enjoy 39 days annual leave per year and are supported by a range of Work Life Balance policies, staff support networks, membership of Athena SWAN and Stonewall as well as a full range of disability services which all create an enjoyable and inclusive place to work. It is the diversity of our staff and students that make the University of Dundee an enjoyable place to work.

For further information about this position please contact Mr Keith Milburn, k.milburn@dundee.ac.uk.

Closing Date for applications is 8 March 2020

Apply online

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