Research Associate (Neurotechnology Trials Manager)

About the role

Join the CEREBRIS project, a flagship European Innovation Council (EIC) Pathfinder programme developing a secure, federated and explainable AI ecosystem to transform stroke diagnosis, prognosis and rehabilitation. Working within the Bath Institute for the Augmented Human and reporting to Prof Damien Coyle and Dr Jibraan Esoof, you will plan and run an observational clinical trial with stroke patients at St Vincent's University Hospital, Dublin, as part of a wider multi-site study across EU partner sites.

In this role you will:

• Organise and manage a multi-visit observational clinical trial with stroke patients, collecting and analysing multimodal data to build evidence for next-generation AI-based neurotechnology diagnostics.
• Coordinate directly with clinical partners, patients, families and carers to schedule and deliver trial sessions in hospital settings, while adhering to approved study protocols and Standard Operations Procedures (SOP) governed under the study.
• Publish research in high-impact journals and present findings to stakeholders nationally and internationally, while contributing to grant proposals that sustain and expand the research programme.
• Conduct site visits to stroke units to understand clinical and patient needs, establish partnerships, and shape product requirements for the future commercialisation of AI-based neurotechnology.

The role will involve being based in Dublin for the duration of the contract to run and manage the trial on-site in St Vincent's University Hospital, with further international travel as required.

We are looking for a motivated, driven and collaborative researcher with a genuine interest in improving outcomes for people affected by stroke and neurological disease, and who enjoys working directly with patients, clinicians and multidisciplinary teams. You should be comfortable managing the practicalities and logistics of a clinical trial, from scheduling sessions with hospital teams to following approved procedures, collecting and collating relevant data into a dedicated system for the study, and confident working independently for extended periods away from campus. Furthermore, an attention to detail on data quality, patient rapport and safety and experience with neurotechnology applications is a must. 

Essential:

• A PhD degree in subject area of direct relevance for the project, or equivalent significant relevant experience and professional qualification
• Software skills as evidenced by the ability to use and manipulate software tools for displaying stimuli in timed experiments.
• Experience in developing research collaborations with clinical partners.
• Experience in conducting research with humans participants, analysing findings, summarising findings and presenting findings in written reports.
• Experience in designing and planning research experiments.
• Experience in data acquisition and recording electrophysiological signals from multiple subjects and handling large datasets.
• Excellent oral, interpersonal and written communication skills
• Demonstrated ability to work unsupervised for long periods and to deliver results at a professional level.
• Proficiency in IT skills (as appropriate to discipline)
• Commitment to working within professional and ethical codes of conduct
• Innovation and developing creative solutions 
• Commitment to excellence in research

Desirable:

• Post doctoral experience
• Experience in managing complex software and handling large dataset collection and transmission through dedicated clinical trial platforms.
• A track record of research publications related to research with human participants (either conference or journal publications).
• Experience in conducting literature reviews in neuroscience related research.
• Experience in obtaining ethical approval for research.

Further information

This is a full time (36.5 hours per week) role lasting approximately 36 months in duration.

For an informal discussion regarding the role please contact Jibraan Esoof at je856@bath.ac.uk. 

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