Technical Manager/Assistant Technical Manager/Senior Technical Officer/Technical Officer (holding the functional title of Data Manager) in the School of Public Health (Ref.: 520211) (to commence as soon as possible, on a one-year temporary basis or two-year fixed-term basis, with the possibility of renewal subject to satisfactory performance)
Applicants should possess a degree in statistics, computer science, mathematics, informatics or a related discipline, with at least 5 years’ experience in data management, programming and statistics. They should be responsible, attentive to details, and possess the ability to work independently and in collaboration with a multidisciplinary team. A strong statistical background and experience in analysis of epidemiological data using R, STATA, SAS, or other statistical packages would be an advantage. Prior experience in handling large and complex datasets, familiarity with modern database and information system technologies and the ability to translate complex problems clearly and in non-technical terms would be valuable. Applicants with less experience will be considered as Senior Technical Officer/Technical Officer.
The appointee will be primarily responsible for the management of data of a cohort of over 46,000 participants in 20,000 households. He/She will be responsible for maintaining and directing the ongoing development of the data infrastructure that serves as the foundation for the FAMILY Cohort’s (FC) research. He/She will oversee FC's core data management functions, such as acquiring and transferring all research-related data; producing data documentation (e.g., data dictionaries, operational procedures, instruction manuals, data capture guidelines); processing and preparing data to ensure that they are high quality for research use; ensuring compliance with all data security and data management requirements and contractual agreements with FC's partners; and liaising with information technology specialists, consultants, contractors and FC staff to support the cohort's data-related work. Additional responsibilities include developing and tracking data project timelines, preparing status reports and data reports for both internal and external use, and managing data resources. Enquiries about the duties of the post should be sent to Ms. Anita Au at email@example.com.
A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical/dental benefits. The appointment on fixed terms will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary.
The University only accepts online application for the above post. Applicants should apply online and upload an up-to-date C.V. Review of applications will start on May 16, 2023 and continue until August 2, 2023, or until the post is filled, whichever is earlier.