|Salary:||£36,386 to £42,155 per annum|
|Placed On:||3rd January 2023|
|Closes:||24th January 2023|
DynAIRx (AIs for dynamic prescribing optimisation and care integration in multimorbidity) is a collaborative study involving researchers across Universities of Liverpool, Leeds, Manchester and Glasgow with the ultimate aim to improve medication reviews happening in primary care.
DynAIRx aims to develop new, easy to use, artificial intelligence (AI) tools that support GPs and pharmacists to find patients living with multimorbidity (two or more long-term health conditions) who might be offered a better combination of medicines.
We will focus on three groups of people at high risk of rapidly worsening health from multimorbidity:
Multimorbidity is becoming commoner as the population becomes older and people with long-term health conditions live longer. Currently, people with multimorbidity are treated separately for each condition and prescribed different drugs, each to treat one condition. Taking multiple medicines, or polypharmacy, increases the likelihood of serious side effects.
GPs and pharmacists are encouraged to reduce the number of people taking potentially harmful combinations of drugs. However, there is no easy way of predicting which patients are most likely to benefit from a medication review and prioritising them. The review team is then faced with gathering and making sense of information from records held in different places and piecing the information together to see how the patient’s conditions and treatments changed over time.
We are seeking a Post-doctoral Research Associate to develop the core data infrastructure for the DynAIRx project utilising languages such as SQL, R or Python. Work with DynAIRx leadership and stakeholders to understand the requirements and implementation, including open-source licensing, for data assets and linkage, collaborating with suppliers to develop new tools and services such as trustworthy research and synthetic data environments, development libraries and data access requirements that can be used by researchers on the project. The successful candidate would also support the creation of an open knowledge support base of information, scripts and code lists. You will also support the preparation of papers for publication, conference abstracts and formal reports for dissemination to the wider group.
You should have a PHD or be about to obtain a PHD in Data Science, or another related field. Any applicants who are still awaiting their PhD to be awarded should be aware that if successful, they will be appointed at grade 6, spine point 30. Upon written confirmation that they have been successful in being awarded their PhD, they will be moved onto grade 7, spine point 31 from the date of their award.
The post is available until 31 March 2025 with hybrid/flexible working. When on Campus the role will be based in the Digital Innovation Facility.
The University has the right to close the vacancy early if it is deemed that there have been enough applications received.
For full details and to apply online, please visit: recruit.liverpool.ac.uk
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