Graduate Research Assistant, Postdoctoral Research Associate or Postdoctoral Research Fellow in Health Service Operational Research and Data Science
College of Medicine and Health
The above role is available at either Graduate Research Assistant, Research Associate or Research Fellow level on a full time/part time basis for 24 months.
We have an exciting opportunity for a researcher to join us to develop and deliver our flagship Health Service Modelling Associates (HSMA) programme. This online-delivered training and mentoring programme works with staff from health, social care and policing organisations nationally.
The programme develops a wide range of modelling and data science skills, including Machine Learning, Discrete Event Simulation, Agent Based Simulation, Natural Language Processing, and more. Associates pitch ideas for research projects that apply these new skills to problems of importance for their organisation. We provide ongoing mentoring support and co-author publications from the research.
Previous 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/.
The successful candidate will work with the HSMA Programme Lead, Dr Dan Chalk, to further develop and deliver the programme nationally. These roles would suit researchers who have experience in applied modelling or Data Science, and wish to support people working in sectors where these methods are not routinely used to apply them to impactful, collaborative research projects.
You will need to have some experience of Data Science or modelling techniques. Coding experience is essential, ideally in Python or R. 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.
These roles also have the opportunity to become involved in other applied research projects within the team.
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.
We offer some fantastic benefits including:
If you are interested in these positions we recommend that you apply as soon as possible. This is a rolling-recruitment campaign and applications will be reviewed on a regular basis and interviews will be held throughout the recruitment period.
For further information please contact Dr Daniel Chalk, firstname.lastname@example.org.
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