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Data Scientist

2 maanden geleden


Utrecht, Utrecht, Nederland HKU Voltijd
{"Job Title: Statistical Programmer

The Clinical Trials Centre (HKU-CTC) is a leading clinical trials management platform established under the LKS Faculty of Medicine, dedicated to managing and facilitating international-standard clinical trials on new drugs, medical devices, and medical technologies.

Main Responsibilities:
  • Develop and implement SAS/R programming for data analysis and produce study datasets and table, listing, and figure (TLF) outputs.
  • Design and develop Electronic Case Report Forms (eCRF) using Electronic Data Capture (EDC) systems such as REDCap and other equivalent systems.
  • Perform quality assurance/quality control for programming and data analysis processes.
  • Develop programming specifications and maintain relevant documentations.
  • Perform other duties as assigned.
Requirements:
  • Bachelor's degree or above in Data Science, Statistics, Biostatistics, Information Technology, or related disciplines.
  • Experience in programming and reporting processes in SAS and R.
  • Knowledge of relational database design principles for the development of study datasets and fundamentals of clinical research.
  • Knowledge and experience in CDISC standards is an added advantage.
  • Good coordination and problem-solving skills and commitment to quality and compliance.
  • Detail-minded, able to handle multiple concurrent tasks, and have a strong sense of responsibility.
  • Good command of written and spoken English and Chinese (proficiency in Putonghua is an advantage).

The appointment will be made on a two-year fixed-term full-time contract, to commence as soon as possible with the possibility of renewal subject to satisfactory performance. A highly competitive salary commensurate with qualifications and experience will be offered, together with contract-end gratuity and University contribution to a retirement benefits scheme at 10% of basic salary. Other benefits include annual leave and medical benefits.

Application Procedure

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