Key Responsibilities
61 Design and deploy large-scale Models and AI Agents tailored for complex biological and pharmaceutical tasks and data analysis.
61 Collaborate on interdisciplinary teams to integrate AI technologies with life science research projects.
61 Develop pipelines and systems that utilize AI for predictive modelling and simulation in bioinformatics and drug discovery.
61 Provide expert analysis and interpretation of large-scale data sets from omics data, protein, compound data and other molecular biology aspects.
61 Work closely with data/AI scientists, medicinal chemists, structural biologists, HTS scientist and other functionalities of the institute and collaborative partners.
Minimum Requirements
61 PHD. degree in Computer Science, Bioinformatics, Pharmaceutical Sciences, Biomedical engineering, or related fields with a record of demonstrated productivity.
61 Minimum 0-3 years of experience in AI applications, particularly with large models and intelligent agents.
61 Strong programming skills in Python, R, or similar languages commonly used in data science, with experience in developing on high-performance computing clusters.
61 Experience with distributed systems and frameworks such as Pytorch or similar for training large-scale AI models.
61 Deep knowledge or understanding of biological mechanisms, preferably in the bioinformatics or pharmaceutical sectors.
61 The candidate must have good communication skills to work in a collaborative team environment. Oral and written skills in English are preferred.
61 Scientific integrity is a must, candidate should be professional in maintaining lab notebooks and electronic files.
Location
Beijing, China