Key Responsibilities:

• Design and deploy large-scale Models and AI Agents tailored for complex biological and pharmaceutical tasks and data analysis.
• Collaborate on interdisciplinary teams to integrate AI technologies with life science research projects.
• Develop pipelines and systems that utilize AI for predictive modelling and simulation in bioinformatics and drug discovery.
• Provide expert analysis and interpretation of large-scale data sets from omics data, protein, compound data and other molecular biology aspects.
• Work closely with data/AI scientists, medicinal chemists, structural biologists, HTS scientist and other functionalities of the institute and collaborative partners.

Main Requirements:

• Master or PHD. degree in Computer Science, Bioinformatics, Pharmaceutical Sciences, or related fields with a record of demonstrated productivity.
• Minimum 3 years of experience in AI applications, particularly with large models and intelligent agents.
• Strong programming skills in Python, R, or similar languages commonly used in data science, with experience in developing on high-performance computing clusters.
• Experience with distributed systems and frameworks such as Pytorch or similar for training large-scale AI models.
• Deep knowledge or understanding of biological mechanisms, preferably in the bioinformatics or pharmaceutical sectors.
• The candidate must have good communication skills to work in a collaborative team environment. Oral and written skills in English are preferred.
• Scientific integrity is a must, candidate should be professional in maintaining lab notebooks and electronic files.