AI-Driven Pathogen Genomics: Assistant Professor

NUS Centre for Cancer Research (N2CR) | NUS Medicine; Murphy (NC); On-site; USD 117,000 - 164,000; Full time

Job summary

Duke-NUS Medical School invites applications for an Assistant Professor, AI Pathogen Genomics. This joint appointment with the Duke-NUS COP and CBDS will advance research and platform development at the interface of AI and pathogen genomics, with regional health security impact.

The candidate will lead applied research, design AI-enabled genomics methods, build collaborations across academic and public health partners, contribute to grants, and mentor students and staff in a dynamic,

Qualifications

• PhD or equivalent in AI/ML, computational biology, bioinformatics, genomics, infectious disease modelling, biomedical data science, statistics, computer science or closely related field.
• Senior/leadership experience with research independence and ability to lead teams (e.g., postdoctoral or equivalent) as required for senior appointments.
• Proven expertise in AI/data science methods applied to genomics, omics, infectious diseases or public health surveillance.

Responsibilities

• Lead applied research at the interface of AI, pathogen genomics and outbreak preparedness.
• Design, develop and evaluate AI-enabled methods for pathogen genomic analysis and surveillance.
• Build collaborations with Duke-NUS, SingHealth, public health agencies and international partners.
• Contribute to grant proposals, research strategy, donor engagement and externally funded programmes.

Skills

AI/ML in Genomics

Collaborative leadership

Grant writing

Education

PhD or equivalent doctoral qualification in AI/ML/Computational biology/biomedical data science

Job description

Duke-NUS Medical School invites applications for an Assistant Professor, AI Pathogen Genomics. This joint appointment with the Duke-NUS COP and CBDS will advance research and platform development at the interface of AI and pathogen genomics, with regional health security impact.

The candidate will lead applied research, design AI-enabled genomics methods, build collaborations across academic and public health partners, contribute to grants, and mentor students and staff in a dynamic,