Job vacancies: Interdisciplinary Data Scientists

The Schools of Medicine and Computer Science are seeking to appoint three highly motivated data scientists with a passion for computer vision and deep learning, and specifically their application to medical imaging. The data scientists will be based in the Schools of Computer Science and Medicine at the University of St Andrews and will work on a national Innovate UK funded initiative to create a pan Scotland Industrial Centre for AI Research in Digital Diagnostics (iCAIRD).

The successful candidates will have the opportunity to work alongside and learn from clinicians, industrial experts from Philips Healthcare and academics to help develop artificial intelligence solutions for the automatic reporting of cancer diagnoses in endometrial and cervical cancer. The main duties of the role will involve being an active member of an interdisciplinary team of scientists to help develop deep learning algorithms, within industry standard guidelines, to analyse patient samples in a manner that allows rapid clinical transfer. This work will therefore have the opportunity to impact both patient welfare and relieve pathologist work burden.

Applicants should have experience in machine learning, demonstrable experience in computer programming languages and an interest in the medical applications of computer science. The candidates would benefit from a track record in scientific writing and working in interdisciplinary teams as well as experience in computer vision.

The posts are full time and over a period of 36 months.
Closing Date: 18 January 2019

Find out more about the vacancies further particulars on the recruitment website.

DHSI Seminar – Wednesday 17th October

Event details

  • When: 17th October 2018 12:00 - 14:00
  • Where: Gateway Bldg
  • Format: Seminar

Digital Health Science Interschool Seminar Series
Opportunity for collaboration and networking

The next seminar in the DHSI series will be held in Seminar room 6, Gateway building, North Haugh on Wednesday 17th October at 12.00pm

The lead contact in Computer Science is Dr Tom Kelsey.

The core values of the seminar series is to allow a learning environment that cross cuts traditional academic “silo” thinking. Therefore this seminar series will focus on maximising the critical mass present in the participating seven schools who are currently contributing in the science of digital health.

In order to allow innovative thinking and collaborative practice the themes of every seminar will focus on one chronic and relapsing health related condition and/or a technological theme with all schools. Contributors to these seminars are encouraged to present any aspect of digital science. This year we also have NHS Fife participating into this.

See DHSI Flyer below for more information on themes and further seminar dates.