University of Bath
Job title:
Research Associate in Health Data Science (ED11696)
Company
University of Bath
Job description
We are seeking a highly motivated and skilled postdoctoral research associate to join our interdisciplinary health data science team based within the Department of Mathematical Sciences at the University of Bath, under the leadership of Dr Theresa Smith.This role is part of the . The AI4CI Hub is a collaboration between a consortium of seven partner universities (Bath, Bristol, Cardiff, Exeter, Glasgow, UCL and Ulster).The Hub’s ambition is to pursue cutting edge research at the intersection between the fields of applied AI and Collective Intelligence across five application domains (Pandemic Resilience, Smart cities, Financial Stability, Health Ecosystems and Environmental Intelligence) and two cross-cutting themes (Human-Centred Design and Infrastructure and Governance).Research within each application domain and cross-cutting theme will be pursued by a team of academics, postdocs and PhDs working with academic and non-academic stakeholder partners from relevant sectors: from AI software companies and start-ups to FinTech firms to NHS trusts, city modelling labs and government departments.The successful candidate will be responsible for developing a package of work for the Healthcare Ecosystems Theme to explore how novel artificial intelligence based analytical methods can enhance decision-making processes in health care delivery and self-management for conditions such as diabetes, arthritis, anxiety, and depression. Addressing challenges related to data quality, bias, privacy, and scalability will be embedded throughout the project.This role will initially be focused on developing and evaluating machine learning and statistical modelling tools to predict and classify disease trajectories using large scale health records databases to answer questions such ‘Can we cluster the typical longitudinal patterns of a disease?’, ‘Do these clusters correlate well to the effectiveness of treatments?’, ‘Can we confidently inform newly diagnosed patient on how their disease will evolve?’, ‘Are there patient groups that are not well served by current clinical practice?’About the role:The successful candidate will work with Dr Theresa Smith and collaborate with Dr Aisling O’Kane and her team at the University of Bristol. You will conduct fundamental research in statistics and machine learning as well as deliver case studies designed with Hub stakeholders. You will also be involved with synthesising and disseminating outputs from relevant work as part of a wider programme of knowledge exchange at the AI4CI hub. You will contribute to Bath’s wider community of interdisciplinary scholars in data science through the and the .The post is full-time for 2.5 years with a possibility of extension depending on project requirements, to start on or soon after 1st July 2024.About you:Successful candidates will be interested in researching innovative combinations machine learning, statistics, and data science with a strong commitment to pursuing applied research in a collaborative, interdisciplinary setting.
- Applicants must hold (or be about to receive) a PhD in Statistics, Data Science, Computer Science, or a related discipline.
- Substantial experience applying machine learning, statistical modelling, or other data analytic techniques to large scale datasets using a programming language like R or Python is essential.
- The ideal candidate will have hands-on experience of with electronic health records or other large routinely-collected databases.
For further information and an informal discussion about the role please contact Dr Theresa Smith ([email protected]). However, please submit your application via the University website including:
- an up-to-date curriculum vitae,
- a research statement describing your research interests, as well as your experience in the research areas relevant to the position,
- the names of two referees
Interviews will take place 17 June 2024.What we can offer you:
- a very generous employer contributory pension scheme
- generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balance
- we are a
and with an increasingly agile workforce, are open to flexible working arrangements * an
that recognises the talents of our diverse workforce * a wide range of personal and
- a number of support options available for new and existing staff to help with the cost of some immigration expenses which you may be eligible for:
, , ..We consider ourselves to be an inclusive university, where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equality and intersectionality receiving a . We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students, so we encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on our teams.We are very proud to be an and are an accredited Disability Confident Leader; committed to .what makes the University of Bath a great place to work. Follow us and on Twitter for more information.Further details:We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details will be removed from application forms at the initial shortlisting stage.
Expected salary
£37099 – 44263 per year
Location
Bath
Job date
Fri, 17 May 2024 06:43:28 GMT
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