Job Description

The Centre for Quantitative Medicine(CQM) at Duke-NUS Medical School,a premier academic partnership between Duke University and the National University of Singapore (NUS),is at the forefront of innovative biomedical research, dedicated to advancing cutting-edge research. 

We are seeking a highly motivated and talented Research Fellow in biostatistics, computational biology, bioinformatics or other relevant disciplines to contribute to integrative genomics and multimodal biological data analysis with the application to ocular disease and other complex diseases. This is a unique opportunity to contribute to high-impact science in a world-class academic medical centre, collaborating with SingHealth —Singapore’s largest healthcare network. The successful candidate will participate in diverse research projects under the supervision of Dr. Qiao Fan.

Why Join Us?
•    2-year initial appointment with potential for extension based on performance. 
•    Access to cutting-edge datasets, a collaborative research ecosystem, and high-performance computing.
•    Opportunities for career growth, international collaborations, and high-impact publications.

Your Role
•    Develop advanced statistical and machine learning modeling to conduct data analyses for large-scale multimodal (genomics, omics etc) studies.
•    Conceptualise new ideas, lead data-driven discoveries, ensuring in-depth assessment and interpretation of results.
•    Conduct efficient data analyses on large-scale clinical and biobank data, including (but not limited to) whole-exome sequencing and omics data.  
•    Write high-quality research papers, present research findings, and foster collaboration with local and international researchers.
•    Assist in grant writing and reports for ongoing funded projects.
•    Mentor graduate students and junior researchers in a dynamic environment.

Job Requirements

•    PhD in Biostatistics, Computational biology, Bioinformatics, Genetic Epidemiology, or related fields.
•    Have strong experience in statistical modelling, machine learning, genomics and multimodal biological and biobank data analysis 
•    Proficient in R, Python, Perl, and Linux environments.
•    A track record of first-author publication in reputable journals.
•    Possess strong communications and collaboration skills in a multidisciplinary group.

If you are interested, please submit your CV, Cover Letter, and three referees’ contacts.