Research Scientist (Applied LLMs), London
Core
Applying frontier Large Language Models (LLMs) to accelerate drug discovery and model complex biological phenomena.
Role type
Research Scientist (Applied LLMs)
Builds
Novel LLM applications and predictive models for drug discovery
Domain
Biotech / Drug Discovery / Machine Learning
Deliverable
production ML models
Required skills
LLM architecture design, post-training, reasoning, test-time scaling, tool-use, alignment, agents, reinforcement learning, fine-tuning, linear algebra, calculus, statistics, JAX, PyTorch, TensorFlow, NumPy, SciPy, Pandas
Preferred skills
PhD in ML/CS, post-doctoral research experience, publications, biology/medicine background, computational chemistry, bioinformatics, multi-parameter optimization, graph neural networks, generative models
Technologies
JAX, PyTorch, TensorFlow, NumPy, SciPy, Pandas
Responsibilities
Contribute to core ML research pushing LLM boundaries in drug discovery; Develop and refine LLM-driven approaches for multiple use cases; Identify and create novel ML techniques and required training data; Analyse and tune experimental results; Implement and scale training and inference engineering frameworks; Report and present research findings; Iterate collaboratively with scientists and domain experts; Provide technical mentorship and guidance to the ML research community; Create, lead, and run ML research projects
Seniority
Senior, hands-on IC with potential for leadership
