Research Assistant Professor

Department/ Unit: Department of Medicine and Therapeutics & Li Ka Shing Institute of Health Sciences

Closing Date: Until the post is filled

The Department of Medicine & Therapeutics and the Li Ka Shing Institute of Health Sciences, Faculty of Medicine at The Chinese University of Hong Kong are seeking outstanding and highly motivated candidates for a Research Assistant Professor (2 years per contract) in our world-class proteomics and omics research facility. We are committed to advancing our understanding of disease mechanisms and translating our discoveries from basic science to potential clinical applications, benefiting patients worldwide.

The successful candidate will be expected to facilitate the establishment of an independent research program focusing on one or more of the following areas:

1. Developing novel disease prediction models through data-driven approaches;

2. Discovering and validating new clinical biomarkers for diagnosis, prognosis, and therapeutic response;

3. Identifying targeted molecules/metabolites associated with disease pathogenesis;

4. Investigating molecular candidates with diagnostic/prognostic value in cancer or metabolic diseases;

5. Advancing precision medicine, tailored to individuals' health and disease status;

6. Driving multi-omics-based targeted drug discovery and drug response prediction;

7. Exploring the use of Traditional Chinese Medicine in modern healthcare;

8. Collaborating with visiting scholars in spectroscopy to leverage cutting-edge equipment for sophisticated experiments; and

9. Other research directions relevant to “omics”.

Applicants should have

i. A Ph.D. or equivalent degree in a relevant field such as molecular biology, proteomics and mass spectrometry, drug discoveries, nanotechnology and new materials, genomics, bioinformatics, biomedical engineering, or a closely related discipline;

ii. A strong track record of impactful research, evidenced by high-quality publications;

iii. Experience in securing external research funding (optional);

iv. Demonstrated ability to effectively teach and mentor students at both undergraduate and graduate levels (optional); and

v. Strong collaborative skills and the ability to engage with a multidisciplinary team.

The appointee will be expected to

A. Provide support to the development of the translational omics platform facilities;

B. Establish and maintain an independent, extramurally funded research program;

C. Teach and mentor students in research settings;

D. Collaborate with colleagues within the Faculty of Medicine and across CUHK;

E. Engage with visiting scholars and industry partners to advance research objectives; and

F. Provide consultation services and support outreach for the omics facility.

Application Process
The University only accepts and considers applications submitted online for the post via the CUHK career site. For more information and to apply online, please visit http://career.cuhk.edu.hk.

Please submit the following materials to the online application

1. Cover page;

2. Research statement; and

3. A detailed curriculum vitae.

Review of applications will begin immediately, and shortlisted candidates will be contacted by email or phone.

CUHK is an equal-opportunity employer. We welcome applications from all qualified candidates and are committed to diversity and inclusion within our community.

Department/ Unit: Department of Medicine and Therapeutics & Li Ka Shing Institute of Health Sciences

Closing Date: Until the post is filled

The Department of Medicine & Therapeutics and the Li Ka Shing Institute of Health Sciences, Faculty of Medicine at The Chinese University of Hong Kong are seeking outstanding and highly motivated candidates for a Research Assistant Professor (2 years per contract) in our world-class proteomics and omics research facility. We are committed to advancing our understanding of disease mechanisms and translating our discoveries from basic science to potential clinical applications, benefiting patients worldwide.

The successful candidate will be expected to facilitate the establishment of an independent research program focusing on one or more of the following areas:

1. Developing novel disease prediction models through data-driven approaches;

2. Discovering and validating new clinical biomarkers for diagnosis, prognosis, and therapeutic response;

3. Identifying targeted molecules/metabolites associated with disease pathogenesis;