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Research project/Challenge ? ALS/MND causes progressive decline in movement, cognition and behaviour.
Although uniformly fatal, life expectancy can vary from 3 months to many years from first symptom, and there are not effective treatments.
Irish researchers, along with their European collaborations in ALS/MND, have shown that the disease is caused by variable combinations of faulty genes that likely interact with lifestyle and environment.
Using "big data analysis", Precision ALS will provide the technology to improve our understanding of how these factors impact the development of the disease.
This in turn will inform which treatment will work for each individual instead of a one size fits all approach.
? The ambition of Precision ALS is to provide an innovative and interactive platform for all clinical research in ALS across Europe, that will then harness artificial intelligence (AI) to analyse large amounts of data.
? On completion, Precision ALS will be a first-in-kind modular transferable pan-European ICT framework for ALS that can be easily adapted to other diseases that face similar precision medicine-related challenges.
About the role In this role you will:
Be responsible for the cleaning, analysis, modelling and presentation of data currently being collected during a longitudinal study of ALS/MND.
In this study participants use a selection of 9 digital technologies at varying intervals over a year.
The technologies are a mixture of in-house prototypes and commercially developed devices.
All of them measure an aspect of physical function (e.g strength, speech, swallowing, dexterity, or walking).
Participants use the technologies at home to save time and effort in coming to clinic research visits.
Data collection commenced December 2024 and is ongoing.
Have a high-valuable impact to the project through the implementation of technical solutions to the project goals, in particular healthcare data analysis that will have potential for benefit to the neurodegenerative health tech research community.
Enhance your reputation through publishing in top-quality journals and conferences in collaboration with team members.
Participate alongside leading experts in exciting project activities and events to further research in treatments for ALS/MND.
Contribute to the development of the next generation of thinkers and innovators through teaching and supervision activities.
Will have the opportunity to nationally and internationally present and represent the ground breaking research carried out by you and the research team.
Will develop as a researcher through access to a wide training & development opportunity.
Will build a strong network through opportunities to liaise with internal and external stakeholders including industry and academic partners/collaborators.
Have involvement with all aspects of the project lifecycle.
Why ADAPT?
As an ADAPT researcher you will have access to a network of global experts and a wide multi-disciplinary ecosystem across leading Irish universities.
We can influence and inform your work, share our networks and collaborate with you to increase your impact, and accelerate your career opportunities.
Specifically we offer:
Exposure and free access within a multi-disciplinary ecosystem across leading Irish universities.
Opportunity to build your profile at international conferences and global events.
Fast-track your career through formalised training & development, expert one-on-one supervision and exposure to top AI specialists.
Why Precision ALS?
? Contribute to the Precision ALS research agenda that will pioneer and combine research in AI driven healthcare technologies to create an innovative and interactive platform for all clinical research in ALS across Europe.
The platform will harness artificial intelligence (AI) to analyse large amounts of data.
? Work with Clinicians, Computer Scientists, Information Engineers, Technologists, and Data Scientists at the SFI Research Centres ADAPT and FutureNeuro along with the TRICALS Consortium, Europe's largest ALS research initiative, National and International industry partners.
Minimum qualifications: PhD or equivalent in computer science or aligned field
Preferred qualifications: Advanced knowledge of research, statistics, coding, modelling, predictive analytics and presentation.
Ability to guide the representation of data effectively.
Ability to communicate complex data to members of the clinical team and disseminate to a wider audience of clinicians.
Data wrangling and cleaning skills.
Fundamental knowledge of ML i.e.
knows how to prepare data so that it is suitable for ML work.
Can demonstrate knowledge of or experiment in – Outlier analysis, cohortisation, segmentation.
Scientific writing skills.
Enthusiastic team player who is practiced at effective collaboration.
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