Senior Research Assistant / Research Assistant I/II

We now invite applications for the captioned post(s).

We are seeking a dedicated Research Assistant (Data Manager) to join our team. This position focuses on managing and analyzing clinical trial data for a research project using advanced data science and machine learning approaches.

• →Manage data cleaning, validation, and integrity checks across all project datasets.
• →Assist in developing digital tools and monitor interaction logs to identify safety alerts, engagement trends, and adherence patterns.
• →Generate participant-level and group-level trend reports for use in progress reviews and feedback loops.
• →Support the Postdoctoral Fellow in conducting interim and final analyses.
• →Prepare dashboard-based visualizations for reporting to the Project Manager and funding body.
• →Maintain accurate documentation of data structures, codebooks, and analytic protocols to ensure reproducibility and data audit readiness.
• →Assist in data extraction and preparation for external audits, DSMB reviews, and scientific publications.
• →Collaborate with the IT Manager to ensure secure, ethical data transfer between digital platforms and research databases.
• →Support ongoing process evaluations, helping quantify participant engagement, retention, and intervention fidelity.
• →Provide technical support for data-driven participant feedback reports and progress summaries during assessment activities.

• Bachelor's degree in Health Sciences, Data Science, Computer Science, Engineering, or a related field from a recognized institution.
• ≥3 years' experience with clinical/community trial databases; proficiency in R, Python, or SAS required.
• Familiarity with machine learning libraries and frameworks (such as TensorFlow, PyTorch, or Scikit-learn) is an advantage.
• Experience in medical image analysis or related fields is desirable.
• Excellent interpersonal and communication skills.
• Good coordination, organizational and problem-solving skills.
• Highly motivated with a strong sense of responsibility and the ability to work independently and in a team.
• Good time management skills and ability to deliver projects on time.
• Knowledge in research equipment setup or experience with clinical data management systems would be an added advantage.

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 commence as soon as possible and continue until 30 April 2026, or until the post(s) are filled, whichever is earlier.

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

Applications Open: Mar 31 2026 China Standard Time
Applications Close: Apr 30 2026 11:55 PM China Standard Time

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