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About the role
This joint appointment sits between the Centre for Outbreak Preparedness and the Centre for Biomedical Data Science at Duke-NUS, working at the meeting point of artificial intelligence and pathogen genomics. The role supports regional infectious disease preparedness and biomedical data science, and suits a researcher who can move between machine learning, genomics and public health practice.
What you'll do
Lead and grow applied research linking AI, pathogen genomics and outbreak preparedness alongside faculty and partners from both centres.
Design, build and assess AI-driven methods for genomic analysis, covering variant detection, lineage classification, antimicrobial resistance prediction, outbreak clustering, genomic representation learning, multi-modal integration and decision support.
Assistant Professor, AI Pathogen Genomics job at Duke-NUS Medical School, Outram | WorkJio
Develop collaborations with Duke-NUS, SingHealth, national public health agencies, regional academic partners, ministries of health, international organisations and technology partners.
Contribute to grant proposals, research strategy, donor engagement and externally funded programmes in AI, pathogen genomics, infectious disease surveillance and regional health security.
Publish scientific papers, technical reports, policy briefs and other outputs that advance the field and support translation into public health practice.
Support robust, reproducible and ethically governed analytical workflows, with attention to data quality, privacy, security, sovereignty, transparency, validation and responsible AI.
Provide scientific and technical leadership to research staff, data scientists, students and collaborators, including supervision, mentorship and capacity development.
Contribute to education and training in AI, computational genomics, biomedical data science and outbreak analytics for Duke-NUS learners and regional partners.
Help turn analytical outputs into practical insights for surveillance, preparedness, outbreak response and policy decision-making.
Carry out other related duties as required by COP and CBDS leadership.
Good to know
Based at Outram Campus, Singapore.
Appointment level is commensurate with qualifications and experience, including evidence of research independence, scientific output, leadership, grant development, teaching or mentorship, and ability to work across academic, public health and technical teams.
Requirements
PhD or equivalent doctoral qualification in artificial intelligence, machine learning, computational biology, bioinformatics, genomics, infectious disease modelling, biomedical data science, statistics, computer science or a closely related field
For Senior Research Fellow: normally at least 5 years of postdoctoral or equivalent research experience
For Principal Research Scientist: normally at least 6 years of relevant experience with evidence of research independence and leadership
For Assistant Professor (Practice Track): substantial applied research or practice experience with evidence of teaching, mentorship or capacity development
Demonstrated expertise in AI or data science methods applied to genomics, omics, infectious diseases, public health surveillance or related biomedical domains
Strong technical skills in areas such as machine learning, statistical learning, scalable analytical pipelines, software engineering, cloud or high-performance computing, federated or privacy-preserving analytics, knowledge graphs, LLMs or multi-modal data integration
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