Job reference
R81069
Date posted
12/08/2022
Application closing date
01/09/2024
Location
Exeter
Salary
The starting salary will be up to £37,474 on Grade F, depending on qualifications and experience.
Package
Generous holiday allowances, flexible working, pension scheme and relocation package (if applicable).
Contractual hours
36.5
Basis
Full-time
Job category/type
Academic
Attachments
Job Description P81069.pdf
Job description
College of Medicine and Health
The above role is available immediately on a fixed term contract for 24 months (with the possibility of extension). Applications for part-time roles are welcomed.
Please note that as of 1st September 2022 our colleges and schools will be moving into a new structure which will consist of the following three Faculties – Faculty of Health and Life Sciences, (to include the Medical School), Faculty of Environment, Science and Economy, and Faculty of Humanities, Arts and Social Sciences.
We have an exciting opportunity for an Operational Researcher or Data Scientist who wishes to develop an Education and Research career pathway at the University of Exeter.
This role will develop highly impactful applied collaborative healthcare projects, and also support those working in health services to develop skills in these areas. The researcher will use approaches such as Discrete Event Simulation, Network Analysis, Geographic Modelling, Machine Learning and Natural Language Processing to improve the operational delivery of services.
As a key part of the role, the researcher will assist the development and delivery of our flagship Health Service Modelling Associates (HSMA) programme (https: // sites.google.com/nihr.ac.uk/hsma). This online-delivered training and mentoring programme works with staff from health, social care and policing organisations nationally. The programme teaches modelling and data science skills and supports associates to apply these new skills to impactful projects of importance for their organisation.
Previous HSMA projects have led to significant impact, including £multi- million investments in mental health services and modelling roles being established in health trusts. The programme's impact has been cited in a national NIHR campaign : https: // arc-swp.nihr.ac.uk/news/data-science- capacity-building/
About you
We are looking for a Research Fellow to join us (initially for two years), and work with the HSMA Programme Lead to 1) become involved in (and further develop) areas of research in applied Operational Research and Data Science in health within the team, and 2) feed this research into further developing and delivering the HSMA programme nationally. This role would suit a researcher who has experience in applied modelling or Data Science, and would enjoy supporting people working in sectors where these methods are not routinely used to apply them to collaborative research projects.
You will have some experience of applied Operational Research or Data Science. Coding experience is essential, ideally in Python. Experience of using open systems such as Linux, Jupyter Notebooks, and Git would be advantageous but not essential.
Strong communication skills are important. The ability to coach and support the learning of multidisciplinary teams is essential.
You will have relevant qualifications and experience in Computer Science, Maths/Engineering, or a Medical Sciences subject.
Please ensure you read the Job Description and Person Specification for full details of this role by clicking on the attachment.
The University of Exeter
We are a member of the prestigious Russell Group of research-intensive universities and in the top 150 universities in the world (Times Higher Education World University Rankings 2022 and QS World University Ranking 2022). We combine world-class teaching with world-class research, achieving a Gold rating in the Teaching Excellence Framework Award 2017.
Our research income in recent years means we're the fastest growing UK Research University with some of the world's most influential scientists, and we seek to answer some of the most fundamental issues facing humankind today through this. 98% of our research is of international quality (2014 Research Excellence Framework). We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. Read about our world leading research – Green Futures and how we are transforming education for a changing world. We are located in a beautiful part of the country and Exeter (a fast growing tech hub) is one of only a few UK cities to have been designated as a UNESCO Creative City
Our Equality, Diversity and Inclusion Commitment
With over 27,000 students and 6,400 staff from 180 different countries we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We are committed to creating an inclusive culture where all members of our community are supported to thrive; where diverse voices are heard through our engagement with evidence-based charter frameworks for gender (Athena SWAN), race equality (Race Equality Charter Mark), LGBTQ+ inclusion (Stonewall Diversity Champion) and as a Disability Confident employer. Whilst all applicants will be judged on merit alone, we particularly welcome applications from groups currently underrepresented within our working community. Reasonable adjustments are available for interviews and workplaces
Benefits
We offer some fantastic benefits including:
onsite gyms on all of our campus' and a cycle to work scheme
sector leading policies around maternity, adoption and shared parental leave (up to 26 weeks full pay), paternity leave (up to six weeks full pay) and a new Fertility Treatment Policy
Please note, this is a rolling advert and applications will be reviewed on a regular basis. It is therefore recommended that any interested applicants submit their application as soon as possible. Once the role has been filled applications will no longer be reviewed.
For further information please contact Dr Daniel Chalk, [email protected].