AI Research Scientist I
Boston, Massachusetts, USA · On-site
Deadline not stated
About
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.
Requirements
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.
Related Job Opportunities
Research Scientist (Machine Learning), London
Research new machine-learning architectures and training approaches for drug discovery. Design experiments, evaluate models and work with engineering and domain experts to scale promising methods…
ML Research Engineer, London
Implement and optimise machine-learning systems for AI-driven drug discovery. Collaborate with research scientists on model development, distributed training, inference and evaluation, including…
Senior Machine Learning Scientist
Research models that connect chemical structures, protein sequences and cellular transcriptomics to predict biological responses. Develop and test scientific hypotheses using large single-cell…
Source: 1910 Genetics