MRC Institute of Genetics & Molecular Medicine
MRC Institute of Genetics & Molecular Medicine

Vacancies

Current vacancies within the IGMM.

A summary of current IGMM vacancies is provided below. Queries can be directed to the contact provided within the job vacancy or email IGMM Human Resources: IGMMHR@igmm.ed.ac.uk

Please note that all IGMM vacancies are advertised on the University of Edinburgh eRecruitment website, where you can also set up personalised email notifications for future vacancies of interest.

 

Generation Scotland Administrator (Vacancy Ref: 052641)

Centre Name: Centre for Genomic and Experimental Medicine at the University of Edinburgh

Closing date: 10 August 2020

Overview:

Generation Scotland is a population and family based cohort study of genetic and environmental health determinants. We are seeking to appoint an Administrator to assist with the operation of the biobank, help facilitate the data access process and support medical research projects administration. The successful applicant will be educated to degree level (BSc or equivalent) or have at least 3 years experience working in an academic research environment, or comparable health sector.

You must have good organisational and IT skills, and be able to work both as part of a team and on your own initiative. Previous experience of working with databases, health records or academic research is desirable.

The post is fixed term for one year. We intend to interview preferred candidates within two weeks following the closing date and are in a position to make an immediate appointment thereafter.

Salary: £23,067 - £26,715

Further information

Research Fellow / Research Software Engineer (Vacancy Ref: 052640)

Centre Name: Centre for Genomic and Experimental Medicine at the University of Edinburgh

Closing date: 19 August 2020

Overview:

We are looking for an enthusiastic and ambitious Research Fellow / Research Software Engineer to help accelerate biomedical research through open source software.

QuPath is popular open software that aims to make sophisticated image analysis intuitive and user-friendly (https://qupath.github.io). You will become part of the core QuPath development team, focussing on front-end design, user experience and data visualization to enable the intuitive analysis large and complex biomedical images, while helping to support the needs of the user community worldwide.

Images play a vital role in research, but bioimage analysis remains difficult. For example, interpreting a single 40 GB whole slide image might involve detecting and classifying millions of cell nuclei within a large tissue section, quantifying biomarker expression for each cell, and interrogating the complex spatial arrangement of the cells. Such analyses play an essential role in the area of digital pathology and are becoming increasingly common in other fields that aim to further our understanding of health and disease.

QuPath is a cross-platform desktop application designed to address these challenges by making sophisticated image analysis and artificial intelligence fast, flexible and intuitive for a wide variety of users – including biologists, pathologists, bioinformaticians, and machine learning experts. Since 2017, QuPath has been downloaded approximately 100,000 times and used in over 300 publications. By becoming part of the development team, you will have a unique opportunity to apply your skills and creativity to impact biomedical research worldwide by maximizing the information that can be extracted from images.

This is a fixed-term position for 12 months that has been made possible by a grant from the Chan Zuckerberg Initiative DAF, an advised fund of Silicon Valley Community Foundation, through the Essential Open Source Software for Science program

Salary: £33,797 - £40,322

Further information