Senior Data Scientist

Role Overview

We are looking for a Senior Data Scientist who will own some of the most consequential diagnostic AI in rare disease: building, validating, and operationalizing the models that help us find and diagnose patients who have never had a name for their disease, powering the analytical rigor behind our testing programs, and shaping how we use data to make smarter product decisions.

What You Will Do

Own the end-to-end development, validation, and operationalization of PG's predictive diagnostic AI models — from feature engineering through production deployment – that power program eligibility decisions and clinical decisions for patients. Run prospective testing experiments: apply diagnostic models to undiagnosed patients, coordinate testing, and track outcomes to continuously improve model performance.

Why It Might Be a Fit

We are looking for a few specific things that will help you succeed in this role: 7+ years of experience in data science, machine learning engineering, or a closely related field, Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL, Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment.

Requirements

• 7+ years of experience in data science, machine learning engineering, or a closely related field
• Strong Python proficiency and fluency across the core data science stack: pandas, NumPy, scikit-learn, PySpark, and SQL
• Demonstrated end-to-end ML experience: you have taken models from problem definition through feature engineering, validation, deployment, and monitoring in a production environment
• Experience with NLP techniques and applying language models to real-world problems
• Comfort with prompt engineering and evaluating external AI API performance (e.g., OpenAI)
• A track record of operating with high ownership in lean, fast-moving environments where you have had to build structure as much as execute within it
• Strong analytical communication skills — you can translate complex model outputs and data findings into clear, actionable narratives for technical and non-technical audiences alike

Benefits

• Fair and equitable compensation with competitive early-stage equity grants
• Generous Flexible Time off policy
• Parental Leave Benefits (12 weeks for both birthing and non-birthing)
• Hybrid, flexible work with high-trust and autonomy
• Health Benefits including medical, dental, vision, therapy, FSA, and 401k