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Post-doctoral Fellow

The University of Hong Kong

Apply now Ref.: 515691
Work type: Full-time
Department: Department of Medicine, School of Clinical Medicine (20600)
Categories: Academic-related Staff
Hong Kong

Applications are invited for appointment as Post-doctoral Fellow in the Department of Medicine, School of Clinical Medicine (Ref.: 515691), to commence as soon as possible for two years, with the possibility of renewal subject to satisfactory performance.

Applicants should possess a Ph.D. degree with a strong research background in epidemiology, health economics, pharmacoepidemiology, biostatistics, public health, big data analytics or artificial intelligence analytics.  They should have a good command of written and spoken English, strong communication skills, a demonstrated track record of publishing academic research papers, self-motivation with a hardworking attitude, and the ability to work well in an interdisciplinary team.  Woking experience in electronic medical records, data mining and management, dynamic disease modelling and decision-analytics, and data visualization using R, SAS, Stata, or Python are preferred. 

The appointee will conduct research on big-data and simulation modelling under the supervision of Dr. Shirley Li.  He/She will contribute to collaborative and impact research on the evaluation of effectiveness, safety and cost-effectiveness of novel medications such as biologics, precision medication and vaccines, using population-based real-world data and disease simulation modelling.  Enquiries about the duties of the post should be sent to Dr. Li at sxueli@hku.hk.

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 application for the above post.  Applicants should apply online and upload an up-to-date C.V. and research publication list.  Review of applications will start from August 23, 2022 and continue until November 8, 2022, or until the post is filled, whichever is earlier.

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