Ai Scientist, Generative Ai Models For The Creation Of Rna-Based Vaccines (Gis)

AI Scientist, Generative AI Models for the Creation of RNA-Based Vaccines (GIS)Agency for Science, Technology and Research – QueenstownThe 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 scientist 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.Project backgroundMessenger RNA (mRNA)-based therapeutics, including vaccines, represent a transformative class of drugs for infectious diseases and cancer immunotherapy.

Their programmable nature allows rapid adaptation to evolving pathogens and personalized medicine, but effective design of mRNA molecules remains a key bottleneck.

Current development relies on trial-and-error methods, leading to long timelines, high costs, and suboptimal outcomes.This project aims to develop an agent-based generative AI system to design both linear and circular mRNA molecules.

By unifying the design process into a data-driven, adaptive pipeline, the system will optimize vaccine stability, minimize unwanted immune responses, and accelerate early-stage research and development from months to hours.

The outcome will be a robust, scalable platform for creating effective mRNA vaccines for infectious diseases, cancer, and beyond.We are looking for a highly motivated postdoctoral researcher to : Run large-scale pretraining on high-performance computing infrastructurePerform model finetuning and hyperparameter optimizationEvaluate models on experimental dataProfileWe welcome applications from candidates with : A PhD in computer science, computational biology, applied mathematics, physics, or a related fieldProven experience in deep learning research and developmentPublication record at top-tier AI conferences (e.g., NeurIPS, ICLR, ICML, CVPR, ICCV, ACL, etc)Strong experience in Python programming and solid software engineering skillsExperience with biomolecules and / or high-performance computing is a plusInterest in biology, biomolecules, or genomics (prior expertise not required)A structured, independent, proactive and collaborative working styleWe offerA fully funded position with an internationally competitive salaryProfessional development opportunities, including support for grant applications and participation in conferences and workshopsAccess to state-of-the-art research infrastructure, including NSCC's high-performance computing clustersA dynamic, interdisciplinary, and collaborative research environmentThe position is initially offered for one year, with the possibility of renewal.How to applyWe look forward to receiving your application with the following documents : Letter of MotivationCVWe accept applications submitted through our online application portal or via email directed to Prof. Sikic at

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