Job Title: Research Assistant
Department: Division of Life Science
Job ID: 5320
Job Posting Details
The appointee will support various research projects within the Division of Life Science by conducting computational analyses. The appointee will report to a faculty member or his delegates and may work closely with graduate students or research staff within the Division. This is an excellent opportunity to immerse oneself into an inter-disciplinary field that brings together information technology with biology. Duties include analyzing data sets using existing open-source tools; developing and deploying custom-made scripts or programs that integrate with other tools; maintaining good records of the analyses performed and attend project meetings as needed. For more details, please visit the homepage of Prof. Tom Cheung (http://cheunglab.ust.hk/).
Applicants should have a bachelor’s degree in computer science or a related field. Interest in the field of life sciences would be beneficial but prior knowledge in this area is not required. Knowledge of Linux-based systems and shell scripting, additional programming skills including Perl, Python, and R., and good organizational skills with an appreciation of software engineering practices and the ability to work independently are required. Familiarity with the administration of Linux systems including troubleshooting software installation, deployment, and execution would be an asset. Applicants should also have strong analytical, communication and interpersonal skills and be able to communicate effectively in English. (Duration: 1 year, renewable)
Starting salary will be commensurate with qualifications and experience. Fringe benefits including annual leave and medical benefits (where applicable) will be provided.
In support of a green work environment, we accept applications submitted online only. To apply, please complete an online application form through the HKUST Careers website (https://hkustcareers.ust.hk/) and return it online to the Human Resources Office on or before Friday, 7 August 2020. Applicants will receive an acknowledgement by email upon successful submission. We thank applicants for their interest, but advise that only shortlisted candidates will be notified of the result of the application.