Senior Data Scientist

About The Role

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
• Build and maintain PG's synthetic patient data pipeline, a critical deliverable for our research programs, and key input to our own model development lifecycle
• Optimize our patient intake experience using NLP and multimodal data analysis to determine which questions to ask, in what order, to maximize data quality and conversion
• Own API usage and cost optimization across PG's AI stack, including prompt engineering, model evaluation, and ongoing performance monitoring
• Conduct ad hoc strategic analyses that inform product prioritization, causality assessment, and generate customer-facing program insights
• Establish MLOps infrastructure: model monitoring, drift detection, API observability, and lightweight but durable operational processes
• Conduct blue sky research initiatives aimed at creating value from our data
• Work with Data Engineering to build a robust, scalable data foundation that supports all of the above

Who you are

• 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 strong 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

What We Offer

• An engaging and supportive team all on a mission to improve lives
• Fair and equitable compensation with competitive early-stage equity grants
• Generous Flexible Time off policy, that we actually use
• Parental Leave Benefits (12 weeks for both birthing and non-birthing)
• Hybrid, flexible work with high-trust and autonomy
• A bright, inviting, pet-friendly office in Downtown SF near transit
• A “work from anywhere” policy, up to 4 weeks a year
• Regular team retreats in exciting destinations
• Health Benefits including medical, dental, vision, therapy, FSA, and 401k
• And so much more!

Salary Range

The salary range for this role is $180,000-$230,000 annually. Actual compensation offered will depend on several factors including but not limited to: work experience, education, skill level, and/or other business and organizational needs.