Deep understanding of llm architecture and training
Experience with graph neural networks for drug discovery
Proficiency in pytorch, tensorflow, or jax frameworks
This role focuses on building and optimizing advanced AI systems including large language models and molecular generation tools for pharmaceutical R&D
Job Summary
This role focuses on building and optimizing advanced AI systems including large language models and molecular generation tools for pharmaceutical R&D.
The ideal candidate will combine deep technical expertise in machine learning with domain knowledge in computational chemistry or biology.
Candidates must possess a PhD or Master's degree with equivalent practical experience in relevant technical fields.
Matching Summary
This role focuses on building and optimizing advanced AI systems including large language models and molecular generation tools for pharmaceutical R&D.
Skills & Requirements
Must-have
Deep understanding of LLM architecture and training
Experience with graph neural networks for drug discovery
Proficiency in PyTorch, TensorFlow, or JAX frameworks
Knowledge of molecular property prediction models
Ability to iterate collaboratively with domain scientists
Nice-to-have
Experience in disease and target research
Background in drug discovery and development processes
Excellent cross-disciplinary communication skills
Quick learning ability in fast-paced environments
Experience with reinforcement learning and fine-tuning
Key Requirements
PhD or Master's degree in Computational Chemistry, Biology, CS, or ML
Equivalent practical experience in related technical fields
Deep understanding of LLM deployment and reasoning capabilities