Research Scientist in Generative AI for Science

- Design and develop generative AI models for natural sciences, including protein structure prediction, molecular conformation analysis, and computational protein design. - Reproduce and evaluate emerging AI/ML methods using public benchmarks and datasets. - Work closely with a multidisciplinary drug discovery team, applying innovative algorithms to tackle complex challenges. - Stay informed on the latest advancements in scientific research. Minimum Qualifications: - Pursuing a Ph.D. in fields like computer science, electrical computer engineering, or related areas. - Strong research background in AI and machine learning with solid publications in leading conferences (e.g., ICML, NeurIPS, ICLR) and journals, encompassing areas like large language models, diffusion models, geometric deep learning, natural language processing, computational protein design, protein structure and conformation prediction, and related fields. - Proficient in Python programming and deep learning platforms, such as Pytorch.