Principal Scientist, Machine Learning - Biomolecules

What you'll do

• Lead and report on multiple AI/ML or computational projects, managing plans, budgets, resources, and timelines.
• Oversee method and pipeline development, benchmarking, scaling, production implementation, and LLM-based agent workflows.
• Coordinate and mentor cross-functional teams, scout the technical landscape, and communicate findings to venture teams and external partners.

What they ask for

• Master’s or PhD in a relevant field, with 5+ years’ scientific, engineering, or computational experience in academic, pharmaceutical, or biotechnology settings.
• Experience driving results through teams and contributing to decisions on AI/ML model progression.
• Depth across Python, modern ML frameworks (PyTorch or JAX/TensorFlow), version control, databases, deep learning architectures, and relevant informatics software.
• Evidence of independent thought and creativity on high-impact cross-disciplinary AI/ML projects; record of outstanding performance in publications, patents, or high-impact internal reports where applicable.

Nice to have

• Industry AI/ML experience.
• Breadth in protein modeling/design, proteomics/mass spec, cheminformatics/docking/ADMET, biophysics/MD, LLM/agentic automation, or MLOps and generative modeling.

Pay

$208,000 - $286,000 USD base salary

Tools

Python, PyTorch, JAX/TensorFlow, DVC/LakeFS, MLflow/W&B, AWS, Docker, Terraform/CDK

AI focus

Develops and deploys AI/ML for scientific discovery, including biomolecular modeling and design, computational pipelines, generative modeling, and LLM-based agents that automate scientific workflows.