Computational Biologist

Computational Biologist (Senior Technical Officer) Join the Centre for PanorOmic Sciences (CPOS) at HKUMed – The University of Hong Kong. The position (Ref: ) commences as soon as possible on a two-year fixed-term basis with contract-end gratuity and a retirement benefits scheme contributing up to 10% of basic salary, with possible renewal based on satisfactory performance. CPOS is an academic research-support centre embracing multi-omics and big data biomedical research under the LKS Faculty of Medicine. The core laboratories host state-of-the-art technology platforms and sophisticated equipment supported by over 75 dedicated members. Visit to learn more. Career Prospects Unique opportunity to participate in world-class research Exposure to a wide range of NGS applications and omics research Long-term development opportunities Expert technical and managerial career track The Role Apply the latest analytics tools to single-cell multi-omics data and establish analysis pipelines Engage in collaborative efforts with scientists and provide expert informatics solutions and training Implement cutting-edge AI/ML solutions Provide mentorship to a highly impactful bioinformatics team Qualifications and Qualities Ph.D. degree in Bioinformatics, Computer Science, Biological Sciences or related disciplines At least 4 years' hands-on data analytics experience Experience with programming languages such as R, Python, or related languages Experience in single-cell multi-omics or spatial transcriptomics Background or experience in AI/ML, with demonstrated applications in bioinformatics (advantageous) Excellent communication skills Proactive and enjoys teamwork Willing to meet new challenges Shortlisted candidates will be invited to attend an interview. Those who have responded to the previous advertisement (Ref: ) need not re-apply. Salary will be highly competitive, commensurate with qualifications and experience. Other benefits include annual leave, medical benefits, continuing professional development, and free access to on-campus gyms and libraries. The University accepts only online applications for this post. Applicants should apply online at the University’s careers site and upload an up-to-date C.V. Review of applications will start as soon as possible and continue until December , or until the post is filled, whichever is earlier. Seniority Level Mid-Senior level Employment Type Full-time Job Function Research, Analyst, and Information Technology Industry Higher Education #J-18808-Ljbffr