THE UNIVERSITY OF HONG KONG

Post-doctoral Fellow in Big Data Genomics for Drug Repurposing

Location
Pok Fu Lam, Hong Kong
Posted
Tuesday, 8 September 2020
End of advertisement period
Monday, 30 November 2020
Ref
502042
Contract Type
Fixed Term
Hours
Full Time

The University of Hong Kong 's highest priorities are to create opportunities for the very best academic talents to excel and to advance human knowledge to the benefit of society. We serve the needs of Hong Kong, the wider region and the rest of the world.

Work type: Full-time
Department: School of Public Health (22400)
Categories: Academic-related Staff

Applications are invited for appointment as Post-doctoral Fellow in Big Data Genomics for Drug Repurposing in the School of Public Health (Ref.: 502042), to commence as soon as possible for two or three years, with the possibility of renewal.

Applicants should possess a Ph.D. degree in epidemiology, genetics, or other relevant disciplines. A good track record of publications would be an advantage but not essential.  Preference will be given to those with research experience in using genetics to evaluate medication effects in large biobanks, summary statistics from genome-wide association studies, and/or Mendelian randomization in general.

The appointee will conduct research using the “Children of 1997” birth cohort, one of the flagship cohorts of the School of Public Health, together with UK Biobank and summary statistics from genome-wide association studies, to evaluate health effects of medications, in particular the pleiotropic effects.  He/She will also write scientific publications, grant proposals and reports; and assist in general administrative, operational and other duties as assigned.  Enquiries about the duties of the post should be sent to Dr. Ryan Au Yeung at ayslryan@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. together with a relevant research publication.  Review of applications will start on September 21, 2020 and continue until November 30, 2020, or until the post is filled, whichever is earlier.

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