AI Research Scientist I

Develop machine-learning methods for generative drug discovery and turn research prototypes into usable scientific models. The role combines multimodal data, high-throughput experimentation and modern generative architectures, with work on model evaluation, production implementation and computational infrastructure. This is an on-site research position. Applications are available on the employer’s current vacancy page, with no fixed deadline stated.

PhD in computer science, biology, chemistry or a related discipline; strong statistics and machine-learning foundations, transformers or graph neural networks, Python, and production or high-performance computing experience.