Principal Scientist, Machine Learning

What you'll do

• Lead and report on AI/ML and computational projects across ventures and Pioneering Medicines programs.
• Build, scale, benchmark, and maintain agentic systems integrating machine-learning and computational biology tools into research workflows.
• Coordinate and mentor cross-functional teams, contribute to project planning, and communicate technical findings and strategies.

What they ask for

• Master’s or PhD in a relevant field, such as machine learning, mathematics, statistics, or computational sciences.
• 5+ years' scientific, engineering, or computational experience in academic, pharmaceutical, or biotechnology settings.
• Experience driving results through teams and a record of leadership and contribution to AI/ML model decisions.
• Depth across Python, modern ML frameworks (PyTorch or JAX/TensorFlow), version control, databases, deep learning architectures, and relevant informatics software.

Nice to have

• Industry AI/ML experience.
• Experience with agentic AI and orchestration frameworks, LLM platforms, and agent evaluation or feedback-loop frameworks.

Pay

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

Tools

Python, PyTorch, JAX, TensorFlow, Pydantic AI, LangGraph, LangChain, CrewAI

AI focus

Develops and deploys AI/ML, computational biology methods, LLM-based agents, and agentic workflows for pharmaceutical R&D and scientific research automation.