Advance core machine learning research by expanding the use of large language models in drug discovery
Design and improve LLM-based methods for diverse research applications, adapting models to address intricate biological and medical questions
Discover and develop new machine learning techniques along with the necessary training data
Evaluate and optimize experimental outcomes to guide subsequent research efforts
Build and scale engineering systems for model training and inference
Communicate research progress and insights effectively to machine learning and cross-disciplinary teams
Collaborate iteratively with researchers and subject matter experts, contributing specialized knowledge
Propose and participate in joint initiatives to achieve challenging research objectives
Offer technical mentorship and strategic input on research direction, based on experience
Support the growth and development of fellow machine learning researchers, depending on experience
Initiate, manage, and execute machine learning research projects, leading inclusive and interdisciplinary teams
Promote an inclusive and diverse research environment, as appropriate to seniority

Competitive salary and benefits package

Onsite in London

Interdisciplinary research team focused on AI-driven drug discovery

Contribute to core research in machine learning by pushing the boundaries of Large Language Models in their application to the world of drug discovery
Develop and refine LLM-driven approaches for multiple use cases across research areas, modifying and applying models and exploring their capabilities when applied to complex biological and medical challenges
Identify and create novel ML techniques and the required data to train and apply models
Analyse and tune experimental results to inform future experimental directions
Implement and scale training and inference engineering frameworks
Report and present research findings and developments clearly and efficiently, to both other ML scientists and scientists of different disciplines
Iterate collaboratively with scientists and domain experts, sharing your own domain experience
Suggest and engage in team collaborations to meet ambitious research goals
Depending on your experience: Provide technical mentorship and guidance to the ML research community, advising on projects, and shaping our research roadmap based on your deep technical expertise
Depending on your experience: Provide developmental support to other ML research scientists
Depending on your experience: Create, lead, and run ML research projects, fostering collaborative and diverse teams to solve high priority modelling problems
Depending on your experience: Cultivate a diverse and inclusive research culture

Available for qualified candidates

Isomorphic Labs is hiring a Research Scientist (Applied LLMs), London