AI/ML Engineer for Genomics & Drug Discovery

GlaxoSmithKline; Seattle (WA); On-site; USD 136,000 - 227,000; Full time

Job summary

GlaxoSmithKline is seeking a Machine Learning Engineer to design and implement agentic AI systems that illuminate molecular disease mechanisms and accelerate therapy development. You will work with frontier models and multiomics data to model biology, drug design, and patient response.

Experience with genomics is a plus, and a passion for learning is essential. Strong candidates ship high‑quality AI/ML products, with a track record of academic excellence.

Qualifications

• BA/BS in a quantitative or engineering field or equivalent experience.
• Experience with LLM agents, evals, and agentic workflow design.
• Proficiency in Python and at least one major DL framework (PyTorch or TensorFlow).
• Experience using Git, SQL, and shell scripting in AI/ML stacks.
• Track record of applying ML best practices.

Responsibilities

• Architect and ship high‑performing AI/ML products.
• Model molecular biology and medicinal chemistry concepts using frontier models and multiomics data.
• Collaborate with cross‑functional teams to deliver AI solutions for therapies.

Skills

LLM agents & evals

Python programming

Deep learning frameworks

Git, SQL, shell scripting

ML product development

Education

Degree in quantitative/engineering

Tools

PyTorch

TensorFlow

Job description

GlaxoSmithKline is seeking a Machine Learning Engineer to design and implement agentic AI systems that illuminate molecular disease mechanisms and accelerate therapy development. You will work with frontier models and multiomics data to model biology, drug design, and patient response.

Experience with genomics is a plus, and a passion for learning is essential. Strong candidates ship high‑quality AI/ML products, with a track record of academic excellence.