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Senior Research Assistant

The University of Hong Kong

Apply now Ref.: 530049
Work type: Full-time
Department: Sau Po Centre on Ageing (30302)
Categories: Senior Research Staff & Post-doctoral Fellow
Hong Kong

Applications are invited for appointment as Senior Research Assistant in the Sau Po Centre on Ageing within the Faculty of Social Sciences (Ref.:530049), to commence as soon as possible, on a two-year fixed term basis with contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 10% of basic salary, with the possibility of renewal subject to satisfactory performance and funding availability. 

 

The applicants should possess a Master’s degree or above in Gerontology, Psychology, Social Sciences, Health Sciences, Statistics, or a related discipline with at least 3-year post-qualification experience, preferably with clinical/therapy professional training with membership/registration of relevant professional bodies in Hong Kong or overseas. Previous work experience in big data analysis and developing and managing territory-wide projects in collaboration with community partners, is highly desirable. Applicants with experience in managing large databases of research projects relating to family caregivers of older adults and/or cost effectiveness evaluation will be preferred. Knowledge of statistics and big data analysis, and interest in pursuing postgraduate study (M.Phil. or Ph.D.) would be advantageous. They should have a good command of written and spoken English and Chinese (fluency in Cantonese would be an advantage), strong analytical skills and familiarity with statistical software (e.g., SPSS, R, Stata) and MS Office applications (including Word, Excel, PowerPoint etc.), and good interpersonal and organizational skills.

 

The appointees will work in a multidisciplinary team with local and international experts to conduct high-impact research related to family caregivers of older adults and/or gerontechnology, and will be responsible for data management, advanced data analysis, and performing other duties as assigned. Publication opportunities and professional development support are available.

 

Shortlisted candidates will be invited to attend a data and written test, and an interview. 

 

What we offer 

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

 

The University only accepts online applications for the above post. Applicants should apply online and upload an up-to-date CV. Review of applications will start as soon as possible and continue until October 30, 2024, or until the post are filled, whichever is earlier.

 

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

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