
Scientist - AI in Drug Discovery, Laboratory of AI in Genomics (GIS)
7 days ago
Overview
Join to apply for the
Scientist, AI in Drug Discovery, Laboratory of AI in Genomics (GIS)
role at
A*STAR - Agency for Science, Technology and Research
The Genome Institute of Singapore (GIS) is the national flagship for genomic sciences, driving cutting-edge research at the intersection of biology, engineering, and medicine. This position is offered in the Laboratory of AI in Genomics, led by Prof. Mile Sikic, which uses advanced bioinformatics and deep learning approaches to develop next-generation models for genomic data analysis. We are group a of computer scientists with a mission to improve healthcare using advance deep learning models. Located in the heart of Singapore's thriving biomedical hub, GIS offers a dynamic and collaborative environment, with close ties to world-class universities (NUS and NTU), pharmaceutical companies, and biotech start-ups. Joining our team means working on transformative projects with real-world impact, while benefiting from Singapore's vibrant research ecosystem and strong support for innovation.
Job description
We are looking for a highly motivated postdoctoral researcher to:
Develop deep learning-based models for RNA structure prediction
Analyze chemical reactivity experimental data
Incorporate chemical reactivity experimental data into the structure prediction pipeline
Run large-scale training on high-performance computing infrastructure
Perform model finetuning and hyperparameter optimization
Evaluate models on experimental data
Profile / Qualifications
We welcome applications from candidates with:
A PhD in computer science, computational biology, computational chemistry, applied mathematics, physics, or a related field
Proven experience in deep learning research and development
publication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, etc)
Strong experience in Python programming and solid software engineering skills
Experience with biomolecules and/or high-performance computing is a plus
Interest in biology, biomolecules, or genomics (prior expertise not required)
A structured, independent, proactive and collaborative working style
We offer
A fully funded position with an internationally competitive salary
Professional development opportunities, including support for grant applications and participation in conferences and workshops
Access to state-of-the-art research infrastructure, including NSCC's high-performance computing clusters
A dynamic, interdisciplinary, and collaborative research environment
The position is initially offered for one year, with the possibility of renewal.
How to apply
We look forward to receiving your application with the following documents:
Letter of Motivation
CV
Diplomas & Transcripts
We accept applications submitted through our online application portal or via email directed to Prof. Sikic at
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