Part-time Research Assistant I/II / Student Research Assistant in the Department of Medicine, School of Clinical Medicine (Ref.: 526561)

We now invite applications for the captioned posts. 

Duties and Responsibilities

• join an internationally active research team focusing on big data and simulation modeling development in health services and web development
• assist with the application and validation of electronic medical record-based cohort study methodologies
• conduct data manipulation and visualization
• prepare scientific publications, grant proposals, and reports
• provide general administrative and operational support
• perform other duties as assigned

The posts provide an excellent training opportunity for those who are interested in big data research. Enquiries about the post should be sent to Prof. Shirley Li or Ms Effie Cheung via clicking the “Quick Apply” button.

Requirements

• Research Assistant I/II: a Bachelor's degree or higher, ideally in the fields of epidemiology, biostatistics, public health, statistics, mathematics, computer science, or related areas
• Student Research Assistant: current undergraduate or postgraduate students with a background in computer science, applied artificial intelligence, decision analytics, epidemiology, biostatistics, public health, or similar fields
• a good command of written and spoken English and Chinese
• responsible, detail-oriented, able to work independently and collaboratively
• good communication, interpersonal and organizational skills
• experience in statistical analysis and proficiency in statistical and computer modeling software (e.g., R, Python, Matlab, SAS, C++) would be advantageous
• understanding of machine learning, AI applications, and quantitative skills in healthcare and policy research is highly valued

What We Offer

The appointment will commence as soon as possible on a temporary part-time basis for 3 to 12 months, with the possibility of renewal subject to satisfactory performance and funding availability. A highly competitive salary commensurate with qualifications and experience will be offered.

Those who have responded to the previous advertisement (Ref.: 525989) need not re-apply.

How to Apply

The University only accepts online application for the above posts. Applicants should apply online and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until July 31, 2024, or until the posts are filled, whichever is earlier.

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