Research Fellow — Genomics & Multimodal Data Science

National University of Singapore; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Duke-NUS Medical School in Singapore seeks a Research Fellow to contribute to integrative genomics and multimodal biological data analysis, with applications in ocular disease and other complex diseases.

You will work under the supervision of Dr. Qiao FAN, access high-performance computing, and collaborate with SingHealth researchers to advance data-driven discoveries.

This role offers growth through diverse projects, academic publication opportunities, and a competitive research stipend.

Qualifications

• PhD in Biostatistics, Computational Biology, Bioinformatics, Genetic Epidemiology, or a related field.

Responsibilities

• Develop advanced statistical and machine learning modeling to conduct data analyses for large-scale multimodal studies.
• Conceptualise new ideas and lead data-driven discoveries with in-depth results interpretation.
• Conduct analyses on large-scale clinical and biobank data, including whole-exome sequencing and omics data.
• Write high-quality research papers, present findings, and collaborate with local/international researchers.
• Assist in grant writing and reports for funded projects.
• Mentor graduate students and junior researchers.
• Perform other related duties incidental to the work described therein.

Skills

Statistical modelling

Machine learning

Genomics data analysis

Multimodal data analysis

Biobank data analysis

R

Python

Perl

Linux

Education

PhD in Biostatistics, Computational Biology, Bioinformatics, Genetic Epidemiology, or related field

Tools

R

Python

Perl

Linux

Job description

Duke-NUS Medical School in Singapore seeks a Research Fellow to contribute to integrative genomics and multimodal biological data analysis, with applications in ocular disease and other complex diseases.

You will work under the supervision of Dr. Qiao FAN, access high-performance computing, and collaborate with SingHealth researchers to advance data-driven discoveries.

This role offers growth through diverse projects, academic publication opportunities, and a competitive research stipend.