Agentic ML Research Scientist for Drug Discovery

PostEra; United States; Remote; USD 120,000 - 170,000; Full time

Job summary

PostEra is an AI-first biotech startup accelerating medicine discovery with its Proton AI platform. We seek a researcher to develop agentic systems guiding mechanistic models and to build ML methods that adapt quickly to new drug discovery problems from limited data.

The role spans defining tasks, datasets, training, and translating methods into scientist-facing capabilities. The ideal candidate has a PhD in ML or a STEM field, strong deep learning and statistical modeling skills, and hands-on

Qualifications

• PhD required in ML or related STEM field with a track record of high-quality research.
• Strong research and engineering experience in modern ML, deep learning, or statistical modeling.
• Hands-on Python experience with ML frameworks such as PyTorch or JAX.

Responsibilities

• Develop and benchmark agentic systems to automate quantitative model development.
• Independently lead research projects in in-context learning, agentic systems, few-shot adaptation, and molecular ML.
• Collaborate cross-functionally with medicinal chemists and biologists to connect modeling objectives to practical drug discovery decisions.

Skills

AI/ML research

Python programming

PyTorch

JAX

Deep learning

Statistical modeling

Education

PhD in ML or STEM field

Tools

PyTorch

JAX

Job description

PostEra is an AI-first biotech startup accelerating medicine discovery with its Proton AI platform. We seek a researcher to develop agentic systems guiding mechanistic models and to build ML methods that adapt quickly to new drug discovery problems from limited data.

The role spans defining tasks, datasets, training, and translating methods into scientist-facing capabilities. The ideal candidate has a PhD in ML or a STEM field, strong deep learning and statistical modeling skills, and hands-on