Research Assistant Professor (to be seconded to GBAICTI as its Data Scientist (Artificial Intelligence))

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Overview

Research Assistant Professor (to be seconded to GBAICTI as its Data Scientist (Artificial Intelligence)) (Ref.

Technical Tools

OtherResearch Assistant

Responsibilities

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→Develop and apply advanced artificial intelligence and machine learning models to real-world data (RWD).
→Create innovative tools and solutions to extract deeper insights from RWD and enhance the centre’s analytical capabilities.
→Develop, validate, and deploy AI/ML models to support RWE generation.
→Leverage the RWSAC's AI facility to conduct large-scale analyses and build innovative tools derived from RWD to improve clinical practice and research.
→Stay abreast of the latest developments in AI/ML for healthcare and ensure methodologies are cutting-edge and scientifically sound.
→Ensure all AI models are developed with considerations for fairness, ethics, and transparency.

Requirements

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PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field.
Minimum of 5 years’ experience in data engineering, data ops, or AI/ML data management, preferably in the medical and/or research sectors.
Hands-on experience of building and maintaining production-grade datasets for AI/ML models.
Strong analytical thinking and attention to detail.
Good command of written and spoken English and Chinese (including Putonghua)

Shortlisted candidates will be invited to attend a written test and/or an interview.

What We Offer

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The appointment will commence as soon as possible on a 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability.

A highly competitive salary commensurate with qualifications and experience will be offered. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary. Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

The University only accepts online application for the above post. Applicants should apply online at the University’s Careers site (https://jobs.hku.hk) and upload an up-to-date C.V. Review of applications will start from April 15, 2026 and continue until May 31, 2026, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency

Applications Open: Apr 1 2026 China Standard Time
Applications Close: May 31 2026 11:55 PM China Standard Time

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