Senior Statistical Analyst (at the rank of Technical Manager)

The appointee will play a pivotal role in supporting the Medical Oncology team’s clinical and translational research portfolio.  The appointee will lead the statistical design, analysis, and interpretation of oncology studies, including clinical trials and observational research.

• →Provide expert statistical consultation to Principal Investigators and research staff on study design, sample size calculation, randomization procedures, and data analysis plans;
• →Lead the analysis of complex datasets, including clinical trial data, genomic data, and electronic health records, using advanced statistical methods;
• →Develop, implement, and validate reproducible statistical pipelines and workflows;
• →Contribute to the preparation of research manuscripts, grant proposals, and regulatory submissions, ensure statistical rigor and clarity;
• →Supervise and mentor junior statistical analysts and research staff in the team;
• →Collaborate with investigators to translate research findings into clinical practice and academic publications;
• →Perform other duties as assigned.

• A Master’s degree or above in Biostatistics, Statistics, Bioinformatics, Epidemiology, or a related discipline; with at least 5 years of relevant post qualification experience, preferably in a medical, academic, or clinical research settings;

• Specialization in oncology or clinical trial statistics is highly preferred;
• Strong technical skills in statistical software including R, SAS, or STATA, and proficiency in Python or Linux for data management would be an advantage;
• Solid understanding of clinical trial methodologies, survival analysis (Kaplan-Meier, Cox regression), longitudinal data analysis, and handling of high-dimensional data;
• Demonstrated ability to lead research projects from design to publication, with a track record of co-authorship in peer-reviewed journals;
• Excellent communication skills in English (written and spoken) with the ability to explain complex statistical concepts to non-statisticians;
• Knowledge of Cantonese or Putonghua is advantageous;
• Self-motivated, proactive, and capable of working independently as well as collaboratively in a multidisciplinary team.

The University only accepts online application for the above post.  Applicants should apply online and upload an up-to-date C.V.  Review of applications will start from April 21, 2026 and continue until May 7, 2026, or until the post is filled, whichever is earlier.

The University is an equal opportunities employer and
is committed to equality, ethics, inclusivity, diversity and transparency

Applications Open: Apr 8 2026 China Standard Time
Applications Close: May 7 2026 11:55 PM China Standard Time

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