University of Hong Kong

Ref.: 537065 Work type: Full-time Department: Department of Pharmacology and Pharmacy (21300) Categories: Senior Research Staff & Post-doctoral Fellow Research Officer in the Department of Pharmacology and Pharmacy (to be seconded to GBAICTI as Data Scientist - Artificial Intelligence) (Ref.: 537065) The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA). In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities. We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Data Scientist - Artificial Intelligence. Duties and Responsibilities 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 PhD degree or above preferably in Computer Science, Data Science, Statistics, Information Systems, or a related field. A 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 in 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. Those who have responded to the previous advertisement (Ref.: 536670) need not re-apply. What We Offer The appointment will commence as soon as possible on a two-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totaling up to 15% of basic salary. Housing benefits will be provided as applicable. How to Apply 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 as soon as possible and continue until September 30, 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

Ref.: 536897 Work type: Full-time Department: School of Nursing (20800) Categories: Professoriate Staff Applications are invited for appointment as Professor/Associate Professor of Practice (several posts) in the School of Nursing (Ref.: 536897), to commence as soon as possible, on a two- to three-year fixed-term basis, with the possibility of renewal subject to funding availability and satisfactory performance. Fractional appointment may be considered for the suitable candidate. Applicants should possess a Registered Nurse qualification registrable with the Nursing Council of Hong Kong and a doctoral degree in Nursing or a related discipline, with at least 12 years’ clinical experience as well as local recognition and evidence of national or regional recognition of clinical excellence. They should also have substantial experience in teaching, training and/or curriculum development. The appointees are expected to play a key role in leading the School’s advanced clinical training and laboratory teaching programmes, pursuing new strategic directions for further development of clinical education within the School, etc. A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. At current rates, salaries tax does not exceed 15% of the gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary. Housing benefits will also be provided as applicable. The University only accepts online application for the above posts. Applicants should apply online, upload an up-to-date C.V. and provide contact information of at least 2 referees on the application form. Review of applications will start on September 30, 2026 and continue until January 30, 2027, or until the posts are filled, whichever is earlier. The University thanks applicants for their interest, but advises that only candidates shortlisted for interviews will be notified of the application result.

Ref.: 537037 Work type: Full-time Department: School of Public Health (22400) Categories: Senior Research Staff & Post-doctoral Fellow Applications are invited for appointment as Post-doctoral Fellow in the Division of Community Medicine and Public Health Practice, School of Public Health (Ref.: 537037), to commence as soon as possible on a one-year or two-year temporary term contract, with the possibility of renewal subject to satisfactory performance and funding availability. Applicants should possess a Ph.D. degree in Social Work, Psychology, Statistics, Public Health, or a related discipline. Knowledge and skills in mathematics, biostatistics, advanced statistical techniques in clinical research, database management, and machine learning/ artificial intelligence (AI) would be an advantage. Applicants should have sound knowledge of quantitative research methods and a good command of written English. Experience in, and passion for, research topics related to palliative care, end-of-life care, and public health would be highly desirable. The appointee will work with the Principal Investigator on various research projects related to end-of-life-care for persons with disabilities and their families. Major duties include conducting advanced data analysis and preparing manuscripts for the projects. He/She will also be expected to work independently on project management, proposal preparation, and mentoring of junior research staff. A highly competitive salary commensurate with qualifications and experience will be offered. 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 and upload an up-to-date CV. Review of applications will commence as soon as possible and continue until August 31, 2026, or until the posts are filled, whichever is earlier.