Editorial summary

The company is seeking an AI Scientist specializing in Generative AI Models to develop innovative RNA-based drug design solutions, focusing on mRNA therapeutics for infectious diseases and cancer immunotherapy. The role involves creating an agent-based generative AI system to design linear and circular mRNA molecules, addressing current challenges in drug development efficiency. Candidates should possess expertise in AI, generative modeling, and bioinformatics. The position offers a salary of 9,500.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job https://singapore.job-q.com/jobs/detail/ai-scientist-generative-ai-models-for-the-creation-of-rna-based-drugs-gis-36711 first appeared in Job-Q.com on 08 Oct 2026]

Project background
Messenger 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.

Job description

We are looking for a highly motivated postdoctoral researcher to:
- Develop generative AI models for mRNA optimization
- Develop foundation models for mRNA assessment
- Run large-scale pretraining on high-performance computing infrastructure
- Perform model finetuning and hyperparameter optimization
- Evaluate models on experimental data

Profile
We welcome applications from candidates with:
- A PhD in computer science, computational biology, 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 via email directed to Prof. Šikić at .

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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