Tenure-Track Associate Professor/Assistant Professor

The University of Hong Kong
Bioinformatics in the Department of Statistics and Actuarial Science jointly offered by the Faculty of Science and the Li Ka Shing Faculty of Medicine
(Ref.: 201800335)

Applications are invited for tenure-track appointment as Associate Professor/Assistant Professor in Bioinformatics in the Department of Statistics and Actuarial Science jointly offered by the Faculty of Science and the Li Ka Shing Faculty of Medicine, to commence on January 1, 2019 or as soon as possible thereafter. This is a joint appointment between the Department of Statistics and Actuarial Science of the Faculty of Science and the Li Ka Shing Faculty of Medicine, with the former as the home department. The post will initially be made on a three-year fixed-term basis with the possibility of renewal and with consideration for tenure before the expiry of a second three-year appointment.

The Faculty of Science and the Li Ka Shing Faculty of Medicine provide a supportive and friendly environment and are embarking on a programme of recruitment to invest in areas of acknowledged strength and to invest in areas of internationally competitive activity. Information about the Faculties can be obtained at http://www.scifac.hku.hk/ (Science) and http://www.med.hku.hk/ (Medicine).

The Department of Statistics and Actuarial Science is committed to gender equality and positively welcomes applications from women as well as men. The Department will also be happy to consider applications from people with their own funding who wish to explore proleptic positions in the Department. Information about the Department can be obtained at http://www.saasweb.hku.hk/.

Applicants should possess a Ph.D. degree in Statistics/Biostatistics with knowledge in Biology, and research areas including but not limited to big data analytics, biostatistics, bioinformatics, genomics, proteomics, and public health.

A globally competitive remuneration package commensurate with the appointee’s qualifications and experience will be offered. At current rates, salaries tax does not exceed 15% of gross income. The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme, totalling up to 15% of basic salary, as well as leave, and medical benefits. Housing benefits will be provided as applicable.

For enquiries about the existing research activities of the Departments/Faculties and the specific job requirements, please write to Professor Guosheng Yin, Head of the Department of Statistics and Actuarial Science (e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.) or the Li Ka Shing Faculty of Medicine (e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.).

Applicants should submit a cover letter, a completed application form, together with an up-to-date C.V., which should include hyperlinks to google scholar profiles and ORCID, a detailed publication list since 2014 with journal impact factor and citations indicated for each publication, a research proposal and a statement on teaching philosophy to: https://web.science.hku.hk/job/201800335.html

Applicants will also be required to arrange 3 reference letters under confidential cover. It is important to note that at least one of the referees should be able to comment, amongst other things, on the applicant’s teaching or research ability and his/her contribution to teaching or research in his/her department, while the remaining two should have knowledge of his/her recent academic or employment experience. Referees should submit their reference letters to: https://web.science.hku.hk/job/201800335_ref.html

Application forms (341/1111) can be downloaded at http://www.hku.hk/apptunit/form-ext.doc. Further particulars can be obtained at http://jobs.hku.hk/. Closes May 11, 2018.

Interview for the position will tentatively be conducted during the week of May 28-June 1, 2018.

The University thanks applicants for their interest, but advises that only candidates shortlisted for interviews will be notified of the application result.

The University is an equal opportunities employer and is committed to equality, ethics, inclusivity, diversity and transparency; and is committed to a Non-smoking Policy

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