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.

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

Have the freedom to 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

Senior Data Scientist

Responsibilities

Qualification

Required

Benefits

Company

Probablygenetic

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