Research Assistant Professor (to be seconded to GBAICTI as its Chief Data Scientist)

Recent Jobs; Hong Kong; On-site; HKD 1,800,000 - 2,400,000; Full time

Job summary

GBAICTI invites applications for the position of Research Assistant Professor (to be seconded as Chief Data Scientist) to lead the RWSAC’s scientific and methodological core. Based at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone, the role drives real-world evidence studies and data integration initiatives.

The appointee will oversee data model development, analytics, AI/ML integration, and manage a team of data scientists and BI professionals, with a requirement

Qualifications

• PhD degree required in a quantitative discipline.
• Preferably 5+ years supervisory experience in epidemiology, data management, programming and statistics.
• Proficiency in SQL, Python/R or similar; experience with big data platforms and ML.
• Commitment to quality, integrity, confidentiality and compliance.
• Strong leadership, project management and stakeholder management skills.

Responsibilities

• Lead scientific and methodological core of the RWSAC.
• Provide leadership in design, execution, and analysis of real-world evidence (RWE) studies.
• Oversee development/validation of the common data model and data integration platform.
• Ensure analytical methodologies are robust, reproducible, and compliant with guidelines.
• Lead exploration of innovative analytical approaches and manage data science/BI team.
• Collaborate to integrate advanced AI/ML into the RWE pipeline.

Skills

SQL

Python

R

Machine learning

Big data

Education

PhD degree in Epidemiology, Data Science, Statistics, CS, Informatics

Tools

Big data platforms

Data warehousing

Job description

Research Assistant Professor (to be seconded to GBAICTI as its Chief Data Scientist)(Ref.: 534813)

The Greater Bay Area International Clinical Trial Institute (GBAICTI) is a wholly-owned entity of the Government of the Hong Kong Special Administrative Region, serving as a centralized clinical research facilitation platform with the mission of creating and sustaining a thriving clinical research ecosystem and driving development in Hong Kong and Greater Bay Area (GBA).

In November 2024, the University of Hong Kong LKS Faculty of Medicine (HKUMed) was appointed as the operator of GBAICTI. In December 2025, the Real-World Study and Application Centre (RWSAC) was established under GBAICTI to open up local health and medical databases and promote collaboration between Hong Kong and other GBA cities.

We are now seeking a high-calibre professional to join the RWSAC (located at Hetao Shenzhen-Hong Kong Science and Technology Innovation Cooperation Zone) as Chief Data Scientist.

We now invite applications for the captioned post.

Duties and Responsibilities

• Report toDirector (RWSAC) and lead the scientific and methodological core of the RWSAC.
• Provide scientific leadership in the design, execution, and analysis of real-world evidence (RWE) studies.
• Oversee the development and validation of the common data model and the data integration platform for use in healthcare research.
• Ensure analytical methodologies are robust, reproducible, and compliant with relevant regulatory guidelines.
• Lead the exploration and application of innovative analytical approaches.
• Manage a team of data scientists and business intelligence (BI) professionals, fostering a culture of scientific excellence and continuous methodological improvement.
• Collaborate with the Data Scientist (AI) to integrate advanced AI/ML techniques into the RWE generation pipeline.

Requirements

• PhD degree in Epidemiology, Data Science, Statistics, Computer Science, Informatics or related disciplines.
• Preferably minimum 5 years' experience in epidemiology, data management, programming and statistics at supervisory level.
• Proficiency in SQL, Python/R, or similar tools; experience with big data platforms , machine learning, and data warehousing.
• Commitment to quality, integrity, confidentiality and compliance.
• Excellent leadership, organizational, project management and problem-solving skills.
• Strong interpersonal, communication and stakeholders' management skills.
• Detail-oriented, able to handle multiple concurrent tasks and self-motivated.
• A good command of spoken and written English and Chinese (including both Cantonese and Putonghua).

Shortlisted candidates will be invited to attend a written test and/or an interview.

What We Offer

The appointment will commence as soon as possible on a 2-year fixed-term basis, with the possibility of renewal subject to satisfactory performance and funding availability.

• A highly competitive salary commensurate with qualifications and experience will be offered.
• The appointment will attract a contract-end gratuity and University contribution to a retirement benefits scheme at 15% of basic salary.
• Other benefits include annual leave, medical benefits and free access to on-campus gyms and libraries.

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

Applications Open: Apr 1 2026 China Standard Time
Applications Close: May 31 2026 11:55 PM China Standard Time