8 months ago

Research Scientist (Applied LLMs), London

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

We are seeking a Research Scientist focused on applying Large Language Models to drug discovery problems. You’ll lead ML research, build and scale LLM-based solutions, mentor a growing ML community, and collaborate with interdisciplinary teams to push the boundaries of AI for chemistry and biology in a hybrid London-based environment.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•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 our research areas, using your extensive knowledge of the field to modify and apply models and explore 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

Key Requirements

•PhD or equivalent practical experience in a technical field
•Highly specialized LLM builder with a passion for applying LLMs to novel problem spaces
•Deep understanding and experience of model architectures, training methods, and techniques for application of LLMs, including deployment for bespoke use cases and applications, established experience in post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning
•Strong knowledge of linear algebra, calculus and statistics
•Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas

Experience:Drug discoveryLife sciencesAI in drug discovery

Education:PhD / Doctorate

Skills:CollaborationLeadershipCommunicationTeamworkProblem-solving

Languages:English

Tech Stack:LLMPyTorchJAXTensorFlowNumPySciPyPandasML frameworks

Company Brief

Isomorphic Labs

Industry: Biotech

Website

Loading job details...

Preparing the role view and application actions.

Isomorphic Labs

8 months ago

Research Scientist (Applied LLMs), London

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 5 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Entry level

Key Responsibilities

•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 our research areas, using your extensive knowledge of the field to modify and apply models and explore 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

Key Requirements

•PhD or equivalent practical experience in a technical field
•Highly specialized LLM builder with a passion for applying LLMs to novel problem spaces
•Deep understanding and experience of model architectures, training methods, and techniques for application of LLMs, including deployment for bespoke use cases and applications, established experience in post-training, reasoning, test-time scaling, tool-use, alignment, agents, LLM research, as well as reinforcement learning and fine-tuning
•Strong knowledge of linear algebra, calculus and statistics
•Experience using ML frameworks such as JAX, PyTorch, or TensorFlow, and scientific software such as NumPy, SciPy, or Pandas

Experience:Drug discoveryLife sciencesAI in drug discovery

Education:PhD / Doctorate

Skills:CollaborationLeadershipCommunicationTeamworkProblem-solving

Languages:English

Tech Stack:LLMPyTorchJAXTensorFlowNumPySciPyPandasML frameworks

Company Brief

Isomorphic Labs

Industry: Biotech

Website