Bioinformatics scientist

The long-term objective of the Centre for Oncology and Immunology is to employ novel functional screens, animal and cell models including organoids, immuno-oncology approach, as well as advanced genomic and proteomic techniques down to single cell resolution to identify novel “druggable” cancer targets for hard-to-treat malignancies. The ultimate goal is to develop therapeutics against these targets and to conduct clinical trials evaluating these drugs along with biomarkers with an eye to their eventual commercialization worldwide. Success in this venture will address pressing unmet medical needs and establish Hong Kong as a leading hub of innovative anti-cancer and immuno-oncology drug development.

Job Description & Qualification:

Applications are invited for appointment as Bioinformatician, to commence as soon as possible.

The position will focus on tumor microenvironment in GI and liver cancer under the direction of Dr. Tracy L. McGaha as part of a collaborative program between the University of Hong Kong and the University Health Network/Princess Margaret Cancer Centre (Canada). The successful candidate will work in close collaboration with the scientific and bioinformatics teams at the Centre of Oncology and Immunology and the Princess Margaret Cancer Centre to decipher myeloid/tumor interactions using high dimensional, spatially resolved approaches.

Applicants are expected to perform the following duties include (a) co-ordinating research projects and developing research methods; (b) processing clinical and investigative data; (c) statistical analysis; (d) work independently on statistical modelling, algorithm development and high-throughput sequencing data analysis; and (e) performing other tasks as assigned.

Applicants should possess a Master or PhD degree in Bioinformatics, Biostatistics, or related disciplines, preferably with relevant research experience in Cancer Biology, Bioinformatics, Immuno-oncology or Single Cell Technology (scRNAseq, sc-ATACseq, 10X genomics & illumina platform, NanoString).

Strong working knowledge of programming language (Python, Perl, C++, or R), basic data network configuration, and statistical software packages is a must. A good publication record showing competence in bioinformatics would be an advantage.

The applicants should have a good command of written and spoken English and strong communication skills, team player, self-motivated, organized, detail- minded, hardworking, willing to learn new techniques, and able to work well in a multidisciplinary team.

The appointee shall work in the Hong Kong Science and Technology Park.

Overseas graduates are encouraged to apply, the qualification awarding institution should be the top 100 institutions for STEM-related subjects in QS/Shanghai Jiao Tong Uni/Times Higher Education world university rankings.

A highly competitive salary commensurate with qualifications and experience will be offered, in addition to annual leave and medical benefits.

Enquiries about the post should be sent to career@coinno.hk

How to apply:

Applicants should submit their up-to-date C.V. and research publication list, the position being applied for and information of current/expected remuneration and availability, to career@coinno.hk mentioning the McGaha lab and the reference number [Ref.: H03/2022/A4/UHN] in the subject line.

The personal data provided in your application process will be used for recruitment and other employment-related purposes. The personal data may be transferred and disclosed to, and used by HKU Innovation Holdings Limited and The University of Hong Kong for the above purposes.

We are an equal opportunity employer and welcome applications from all qualified candidates.