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Computational Biologist (in the grade/rank of Senior Research Assistant / Senior Technical Officer) (several posts)

The University of Hong Kong

Apply now Ref.: 499492
Work type: Full-time
Department: Centre for PanorOmic Sciences (22200)
Categories: Research Support Staff, Executive / Technical / Support
Hong Kong

Computational Biologist (in the grade/rank of Senior Research Assistant / Senior Technical Officer) (several posts) in the Centre for PanorOmic Sciences (Ref.: 499492) (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)

We are seeking for talented computational scientists with backgrounds in mass spectrometry, metabolomics, proteomics or informatics, to join our bioinformatics team.

Applicants should have a Ph.D. degree in Computer Science, Bioinformatics, Biological Sciences, or a related discipline, with at least 3 years’ hands-on bioinformatics analysis experience; and possess the ability to use programming languages such as R, Python, Perl, Java, or related languages. Experience in analyzing multi-omics datasets or writing workflows will be desirable. Applicants should possess excellent communication skills; have a strong interest in working closely with investigators; and be highly motivated, independent, and able to perform in a multidisciplinary team environment, whilst working and managing multiple projects in parallel. Applicants with less experience/qualifications but with a good initiative will also be considered.

The appointees will have the unique opportunity to participate in world-class research, work with clinicians, biologists and bioinformatics experts, and expose to a wide range of applications. They will apply the latest analytics tools to multi-omics data, evaluate and establish analysis pipelines, lead and provide supervision of junior staff members. Those who have responded to the previous advertisement (Ref.: 499183) need not re­-apply. 

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 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 January 31, 2020, or until the posts are filled, whichever is earlier.

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