Agentic ML Scientist for Drug Discovery

PostEra; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

PostEra is building an AI-first biotech company focused on accelerating drug discovery. This role develops the agentic research vertical, creating quantitative models of biochemical processes and analyzing biological data to inform decisions.

You will advance in-context learning and foundation models from proprietary multimodal data, translating research into capabilities used by PostEra's scientists.

Qualifications

• PhD in machine learning or STEM research involving ML

Responsibilities

• Develop and benchmark agentic systems to automate quantitative models of biological processes.
• Lead research projects on in-context learning, agentic systems, and foundation models.
• Collaborate with scientists to align modeling with potency, ADME, and early clinical design.
• Publish results in ML, medicinal chemistry, or computational biology venues.

Skills

In-context learning

Few-shot learning

Tabular learning

Molecular machine learning

Agentic workflows for science

Python

Education

PhD in ML or related STEM with ML focus

Tools

PyTorch

JAX

Python

Job description

PostEra is building an AI-first biotech company focused on accelerating drug discovery. This role develops the agentic research vertical, creating quantitative models of biochemical processes and analyzing biological data to inform decisions.

You will advance in-context learning and foundation models from proprietary multimodal data, translating research into capabilities used by PostEra's scientists.