Research Scientist (Applied LLMs)

Overview

In this role you will advance drug discovery by applying cutting-edge Large Language Models to biomedical problems. You will collaborate with scientists and engineers to design and implement LLM solutions that expand predictive power and modelling capabilities. You will lead or contribute to projects, mentor others, and help shape the ML research roadmap in a fast-paced, interdisciplinary environment. Your work will directly support IsoLabs’ mission to accelerate medicinal breakthroughs using AI.

Pay / Benefits

• hybrid working
• collaboration across fields
• focus on learning and growth
• inclusive culture

Responsibilities

• Advance core ML research by extending LLM capabilities for drug discovery
• Develop and refine LLM-driven use cases across research areas
• Identify novel ML techniques and data requirements for training models
• Analyze results to guide future directions and scale training/inference frameworks
• Present findings clearly to ML and non-ML scientists
• Collaborate with domain experts and other teams on research goals
• Provide mentorship and guidance to ML researchers and lead/drive ML projects
• Foster an inclusive and collaborative research culture

Key requirements

• PhD or equivalent practical experience in a technical field
• Strong experience building and applying LLMs to novel problems
• Deep knowledge of model architectures, training methods, and deployment for bespoke use cases
• Proficiency with ML frameworks (JAX, PyTorch, or TensorFlow) and scientific Python stacks (NumPy, SciPy, Pandas)
• Experience with real-world datasets and cross-disciplinary collaboration

• team collaboration
• mentorship
• communication of complex results
• LLM development and deployment
• reinforcement learning and fine-tuning
• post-training and reasoning techniques

Full job description from WhatJobs. Apply for this role →