Research Scientist in Applied Large Language Models

Skills

About the Role

You will research, develop, and refine LLM-driven approaches for biological and medical challenges. You will build models and algorithms, create training data and techniques, tune experimental results, implement training and inference frameworks, and communicate findings. Depending on experience, you may lead projects and mentor other researchers.

Requirements

• PhD or equivalent practical experience in a technical field
• Strong experience applying Large Language Models to novel problem spaces
• Knowledge of LLM architectures, training methods, post-training, reasoning, test-time scaling, tool use, alignment, agents, reinforcement learning, and fine-tuning
• Knowledge of linear algebra, calculus, and statistics
• Experience with JAX, PyTorch, or TensorFlow
• Experience with NumPy, SciPy, or Pandas
• Knowledge of the LLM landscape
• Experience with real-world datasets

Responsibilities

• Conduct machine-learning research on Large Language Model applications for drug discovery
• Develop and refine LLM-driven approaches for research use cases
• Create machine-learning techniques and data for training and applying models
• Analyze and tune experimental results
• Implement and scale training and inference engineering frameworks
• Present research findings to machine-learning and multidisciplinary audiences
• Collaborate with scientists and domain experts
• Provide technical mentorship and developmental support when applicable
• Lead machine-learning research projects when applicable