inform and support the development of research proposals and manuscripts in the fields of COPD, cardiovascular, and cerebrovascular diseases;

• Data Management & Curation: Build, manage, and maintain large-scale healthcare databases, including the collection, cleaning, and input of complex data sources such as Electronic Health Records (EHR);
• Advanced Statistical Analysis: Develop and apply novel statistical methodologies for causal inference, with a focus on techniques such as target trial emulation to evaluate COPD management strategies using observational data;
• Big Data & Bioinformatics: Perform robust big data and bioinformatics analyses to identify patterns, trends, and insights from large, complex datasets;
• Research Dissemination & Grant writing: Take a leading role in drafting manuscripts for publication in peer-reviewed journals and in the preparation of competitive grant applications; and
• General Duties: Fulfill any other related tasks as assigned by the Principal Investigator and supervisors.

Candidates

Candidates should possess the following qualifications, experience, and competence:

• A recognized Master's or PhD degree in Biostatistics, Data Science, Epidemiology, Statistics, or a related discipline;
• A proven publication record in peer-reviewed journals, with first-authorship being a significant advantage;
• Specific experience working with Electronic Health Records (EHR) or other large-scale healthcare databases;
• Domain knowledge in COPD, cardiovascular, or cerebrovascular diseases;
• Experience in contributing to or leading the writing of research grant applications;
• Proven proficiency in at least one statistical programming language such as R or Python (with scientific libraries like Pandas, NumPy, Scikit-learn);
• Demonstrated experience in managing, cleaning, and curating large, complex datasets;
• Familiarity with database structures and SQL is highly desirable;
• Direct hands-on experience with, or a strong theoretical understanding of, modern causal inference methodologies. This includes, but is not limited to: Target Trial Emulation, clustering, Propensity score matching/weighting, Instrumental variable analysis;
• Experience in conducting systematic literature reviews and a proven track record of contributing to the drafting of academic manuscripts for publication;
• Exceptional ability to analyze complex problems, integrate information from different sources, and develop innovative analytical solutions;
• Meticulous attention to detail is non-negotiable, especially concerning data quality, code accuracy, and manuscript preparation;
• The ability to work independently, manage one's own time effectively, and take initiative to drive projects forward with minimal supervision;
• Strong written and verbal communication skills, with the ability to explain complex statistical concepts and research findings to both technical and non-technical team members; and
• A demonstrated ability to work effectively as part of a multidisciplinary research team.
•  

Duration of Appointment

1 year

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary and an end-of-contract gratuity will be offered to the right candidates.  Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.

inform and support the development of research proposals and manuscripts in the fields of COPD, cardiovascular, and cerebrovascular diseases;

• Data Management & Curation: Build, manage, and maintain large-scale healthcare databases, including the collection, cleaning, and input of complex data sources such as Electronic Health Records (EHR);
• Advanced Statistical Analysis: Develop and apply novel statistical methodologies for causal inference, with a focus on techniques such as target trial emulation to evaluate COPD management strategies using observational data;
• Big Data & Bioinformatics: Perform robust big data and bioinformatics analyses to identify patterns, trends, and insights from large, complex datasets;
• Research Dissemination & Grant writing: Take a leading role in drafting manuscripts for publication in peer-reviewed journals and in the preparation of competitive grant applications; and
• General Duties: Fulfill any other related tasks as assigned by the Principal Investigator and supervisors.

Candidates

Candidates should possess the following qualifications, experience, and competence:

• A recognized Master's or PhD degree in Biostatistics, Data Science, Epidemiology, Statistics, or a related discipline;
• A proven publication record in peer-reviewed journals, with first-authorship being a significant advantage;
• Specific experience working with Electronic Health Records (EHR) or other large-scale healthcare databases;
• Domain knowledge in COPD, cardiovascular, or cerebrovascular diseases;
• Experience in contributing to or leading the writing of research grant applications;
• Proven proficiency in at least one statistical programming language such as R or Python (with scientific libraries like Pandas, NumPy, Scikit-learn);
• Demonstrated experience in managing, cleaning, and curating large, complex datasets;
• Familiarity with database structures and SQL is highly desirable;
• Direct hands-on experience with, or a strong theoretical understanding of, modern causal inference methodologies. This includes, but is not limited to: Target Trial Emulation, clustering, Propensity score matching/weighting, Instrumental variable analysis;
• Experience in conducting systematic literature reviews and a proven track record of contributing to the drafting of academic manuscripts for publication;
• Exceptional ability to analyze complex problems, integrate information from different sources, and develop innovative analytical solutions;
• Meticulous attention to detail is non-negotiable, especially concerning data quality, code accuracy, and manuscript preparation;
• The ability to work independently, manage one's own time effectively, and take initiative to drive projects forward with minimal supervision;
• Strong written and verbal communication skills, with the ability to explain complex statistical concepts and research findings to both technical and non-technical team members; and
• A demonstrated ability to work effectively as part of a multidisciplinary research team.
•  

Duration of Appointment

1 year

Terms and Conditions for Appointment

An attractive remuneration package, including basic salary and an end-of-contract gratuity will be offered to the right candidates.  Generous annual leave, staff-development sponsorships, medical and dental benefits, and life insurance coverage will also be provided.

To Apply

Candidates who are interested in joining us may submit their applications via the University’s eRecruitment System.