Research Assistant in Ai/iot to Develop Connected - Glasgow, United Kingdom - University of Glasgow

Tom O´Connor

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Description

Job Purpose

The aim of this project is to develop innovations to improve the healthcare pathways of individuals in low-resource under-served rural communities using digital medicine and mobile diagnostics, in Sub-Saharan Africa.

The post is part of Digital Innovations and Diagnostics for Infectious Diseases in Africa project (DIDIDA), which brings together 14 partners, both academic and industrial, from eight countries: Kenya, Senegal, Tanzania, Uganda, the United Kingdom, France, the Netherlands, and Italy.

The digital diagnostic platform will be portable, reliable and affordable and co-developed with stakeholders.

The work at the University of Glasgow will be focused on combining artificial intelligence-based signal quantification and cloud-based data analytics with novel nucleic-acid based tests in a disposable cartridge enabling result read out on a lateral flow strip - for the integration within national surveillance systems.

The work has the potential to enable better care for patients by providing a simple, cost-effective mobile autonomous diagnostic solution capable of diagnosing multiple diseases, including malaria, in a single session.

It will also link these conditions to non-communicable diseases including hypertension or diabetes, drawing upon expertise in the use of digital wearables for monitoring co-morbidities.

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Main Duties and Responsibilities
Perform the following activities in conjunction with and under the guidance of the Principal/Co-Investigator:


  • To develop and optimise a (cloud-based or edge computing) mobile platform, including control of the assay processing, results analysis and integration with remote data analytics platforms.
  • To design and validate sample-to-answer devices, integrated with lateral flow readout, for performing, and analysing results from, multiplexed nucleic acid based tests and immunoassays, using methods appropriate for low-resource settings
  • Plan and conduct assigned research individually or jointly in accordance with the project deliverables and project/group/School/College research strategy.
  • Document research output including analysis and interpretation of all data, maintaining records and databases, drafting technical/progress reports and papers as appropriate.
  • Develop and enhance your research profile and reputation and that of The University of Glasgow/School/Research Group, including contributing to publications of international quality in high profile/quality refereed journals, enhancing the research impact in terms of economic/societal benefit, and gathering indicators of esteem.
  • Contribute to the presentation of work at international and national conferences, at internal and external seminars, colloquia and workshops to develop and enhance our research profile.
  • Contribute to the identification of potential funding sources and to assist in the development of proposals to secure funding from internal and external bodies to support future research.
  • Collaborate with colleagues and participate in team/ group/ meetings/ seminars/ workshops across the research Group/School/College/University and wider community.
  • Contribute to the organisation, supervision, mentoring and training of undergraduate and/or postgraduate students and less experienced members of the project team to ensure their effective development.
  • Perform administrative tasks related to the activities of the research group and School, including Budgets/Expenditure.
  • Keep up to date with current knowledge and recent advances in the field/discipline.
  • Engage in continuing professional development activities as appropriate.
  • Contribute to the enhancement of the University's international profile in line with the University's Strategic Plan, Inspiring People Changing The World.

These key tasks are not intended to be exhaustive but simply highlight a number of major tasks which the staff member may be reasonably expected to perform.


Knowledge, Qualifications, Skills and Experience

Knowledge/Qualifications

Essential:

A2 A knowledge and understanding of molecular assay optimisation and validation, and/or microfluidic techniques used to manipulate samples.
A3 Knowledge of specialist IT software (e.g. Matlab, LabView, Python) as appropriate.
A4 Knowledge of project-specific technical models, equipment or techniques.


Desirable:
B1 An awarded PhD in healthcare data systems and visualisation platforms, which may include AI and/or IoT.
B2 A knowledge of molecular biology, microfluidics or lab-on-a-chip.


Skills

Essential:

C1 Develop or use prototype instrumentation platforms, software interfaces and perform image analysis and results visualisation on cloud-based platforms.
C2.

Expertise in developing molecular biology assays or devices for sample processing using microfluidics, together with advanced results analysis and interpretation using machine learning/AI tools.

C3 Research creativity and cross-discipline collaborative

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