About the role
AI summarisedThis industry PhD position, jointly sponsored by Illumina and either NUS or NTU in Singapore, focuses on developing novel deep learning and computational biology algorithms to interpret the human genome. The role involves research in variant classification, single-cell genomics, and evolutionary constraint, with mentorship from both Illumina’s AI Lab and the host academic institution. The candidate will publish findings in peer-reviewed journals and contribute to software products that advance clinical genomics.
BiotechOnsite
Key Responsibilities
- Develop novel statistical and deep learning algorithms for classifying variants of unknown significance by integrating information from detailed clinical phenotypes, functional genomics, selective constraint, and protein structure
- Be the primary contributor for scientific collaborations with Illumina’s academic, nonprofit, and industry partners, and lead a multidisciplinary team focused on achieving these aims
- Publish and disseminate methods and findings and incorporate them into software products to the benefit of the wider genetics community
Requirements
- Expert in machine learning, statistics, and genomics
- Possesses strong communication skills, with the ability to present complex scientific ideas to clinical, scientific, and industry audiences
- Be willing to work in a fast paced, competitive environment, and hold a strong record of successful delivery of complex scientific projects and publications under tight timelines
- Bachelor’s or Master’s Degree in computer science, computational biology, bioinformatics, or related field