Research Assistant/ Associate in AI for Health

We are a world class research-intensive university. We deliver teaching and learning of the highest quality. We play a leading role in economic, social and cultural development of the North East of England. Attracting and retaining high-calibre people is fundamental to our continued success.

The Role

We are delighted to be seeking a motivated individual to join our project, in the School of Computing at Newcastle. The aim of the project is to develop digital innovations for patient-centric microsampling. As part of the technical development, the post holder will be working closely with a consortium of academic and industry partners across the Europe and US (including multinational pharmaceutical companies such as Pfizer, Eli Lilly, and GSK) to ensure the delivery of data and digital solutions for collecting and analysing small-volume blood samples.

The post holder will research and design advanced machine learning, AI and statistical methods to process and analyse data generated from microsampling, which may encompass concentrations of analytes, demographic information, among others.

The post holder will be expected to take the lead on addressing the following project objectives:

• Engage with research and industrial partners and wider stakeholders to identify business needs, challenges and new opportunities for digital innovations in microsampling, and effectively translate them into actionable use cases.
• Develop responsible AI and statistical solutions tailored to the identified digital use cases, laying the foundation for future research and the broader adoption of microsampling.
• Implement methods to enhance the trustworthiness and robustness of analytical results and predictive outcomes for improved user acceptance.

This post is available immediately on a full-time, fixed-term basis until 30th April 2028. For all informal enquiries, please contact Dr Wanqing Zhao (Wanqing.Zhao@newcastle.ac.uk).

To apply, please upload your CV and cover letter evidencing how your skills and experiences align to the criteria as outlined in person specification of the job description (available on the university's website, accessed by the 'Apply' button).

As part of our commitment to career development for research staff, the University has developed 3 levels of research role profiles. These profiles set out firstly the generic competences and responsibilities expected of role holders at each level and secondly the general qualifications and experiences needed for entry at a particular level.