Research Fellow (Computer Science/AI/Computational Biology/Bioinformatics)
Core
Develop and deploy machine learning/deep learning models for RNA sequence design, structure prediction, and property optimization to revolutionize RNA-based treatments.
Role type
Research Fellow (AI / Computational Biology)
Builds
AI methodologies for RNA therapeutics
Domain
AI4Science / Computational Biology / RNA therapeutics
Deliverable
production ML models
Required skills
machine learning, deep learning, PyTorch, JAX, TensorFlow, biological sequence analysis, generative models, computational drug discovery
Preferred skills
experience with wet-lab collaboration, scientific publication in top AI conferences and high-impact journals
Responsibilities
Develop and deploy state-of-the-art machine learning/deep learning models for RNA sequence design, structure prediction, and property optimization; Process, curate, and model high-throughput screening and genomics datasets; Collaborate closely with wet-lab biologists and clinicians to validate AI predictions experimentally; Stay current with advancements in AI4Science and prepare scientific publications for top AI conferences and high-impact journals; Present research findings to multidisciplinary academic and industry partners
