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Job Details

Senior Research Assistant in the Department of Ophthalmology, School of Clinical Medicine (Ref.: 526609) (to commence as soon as possible, on a two-year fixed-term basis or one-year temporary basis, with the possibility of renewal subject to satisfactory performance)

Applicants should possess a Master’s degree, preferably in Data Science or related disciplines, with at least 3 years’ solid experience in R&D of software and web apps for ophthalmic application. They should have a good command of written and spoken English and Chinese; strong communication skills; the familiarity with MongoDB, SQL, Javascript, R, Python, Django, Hadoop, Spark, C# and Unity; and the ability to work independently and as a team. Those with expertise in biostatistics, design of database for patient management and monitoring, and with experience in developing AI-based image analysis platform in healthcare are preferred.

The appointee will (i) design effective database solutions to store and retrieve research data; (ii) assist in collection and export of data from ophthalmic imaging; (iii) manual pixel-based annotation of images for dataset preparation; (iv) perform statistical analysis to identify biomarkers; (v) develop models for quantification of retinal layer structures; (vi) provide support in pixel-by-pixel alignment for time-series images; and (vii) perform other duties as assigned.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits. The appointment on fixed-term basis will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of the basic salary.

The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date C.V. (preferably with an academic transcript). Review of applications will start from May 17, 2024 and continue until June 30, 2024, or until the post is filled, whichever is earlier.

Advertised: May 3, 2024 (HK Time)
Applications close: Jun 30, 2024 (HK Time)


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