Research Fellow - Integrative Genomics & Multimodal Data

NATIONAL UNIVERSITY OF SINGAPORE

Singapore

On-site

SGD 70,000 - 110,000

Full time

14 days+

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Job summary

The Duke-NUS Centre for Biomedical Data Science (CBDS) at the National University of Singapore seeks a Research Fellow to advance integrative genomics and multimodal data analyses for ocular and complex diseases. The role involves developing advanced statistical and ML models, data interpretation, and collaboration with SingHealth researchers.

Requirements include a PhD in a quantitative field, strong publication record, and proficiency in R, Python, Perl, and Linux.

Qualifications

PhD in Biostatistics, Computational Biology, Bioinformatics, Genetic Epidemiology, or related field.
Strong experience in statistical modelling, machine learning/deep learning, genomics and multimodal data analysis.
Proficiency in R, Python, Perl, and Linux environments.
Track record of first-author publications in reputable journals.
Strong writing, communication, and presentation skills; able to work in a diverse team.

Responsibilities

Develop advanced statistical and machine learning modeling for large-scale multimodal studies.
Conceptualise ideas, lead data-driven discoveries, interpret results.
Analyze large-scale clinical and biobank data (e.g., whole-exome sequencing, omics).
Write research papers, present findings, and foster collaborations.
Assist in grant writing and reports; mentor graduate students and junior researchers.
Perform other duties related to the project.