Senior Research Fellow, Computational Biology for EID

Duke-NUS Medical School; Singapore; On-site; SGD 90,000 - 150,000; Full time

Job summary

Duke-NUS Medical School in Singapore invites applications for a full-time Research Fellow / Senior Research Fellow in Computational Biology within the Signature Research Programme in Emerging Infectious Diseases. The successful candidate will analyse high-dimensional omics data and contribute to interdisciplinary virology, genomics, and data science research.

You will develop AI/ML pipelines for pathogen risk assessment and collaborate with wet-lab scientists to translate computational insights

Qualifications

• PhD in related scientific area with hands-on experience in multi-omics data integration.
• Proven proficiency analyzing bulk and single-cell transcriptomic datasets.
• Experience with R and/or Python coding; HPC and GPU programming familiarity.
• Experience with spatial omics or GWAS is advantageous.
• Strong quantitative, analytical, and organizational skills; collaborative mindset.

Responsibilities

• Perform tasks and support all aspects of the research project.
• Lead AI/ML-driven pathogen risk assessment pipelines.
• Collaborate with experimental scientists to translate computational findings.
• Contribute to publications, presentations, and grant proposals.
• Mentor junior lab members and contribute to team science.

Skills

Multi-omics data integration

Single-cell data analysis

R/Python coding

HPC & GPU computing

Quantitative/analytical skills

Collaborative team science

Education

PhD in bioinformatics / computational biology / ML / CS / virology / immunology

Tools

R

Python

Job description

Duke-NUS Medical School in Singapore invites applications for a full-time Research Fellow / Senior Research Fellow in Computational Biology within the Signature Research Programme in Emerging Infectious Diseases. The successful candidate will analyse high-dimensional omics data and contribute to interdisciplinary virology, genomics, and data science research.

You will develop AI/ML pipelines for pathogen risk assessment and collaborate with wet-lab scientists to translate computational insights