Founding Applied Data Scientist at Bluevia Health

As the founding data scientist at this early-stage healthcare AI company, you will own the end-to-end loop from raw clinical data to deployable models. Working with petabyte-scale EHR data from the Mayo Clinic, you’ll build the foundations for predicting post-surgical complications, directly impacting patient outcomes across a 21-site US health system.

• Build standardization pipelines and foundations to transform raw, messy EHR tables into analysis-ready longitudinal datasets.
• Design and validate rule-based computed phenotypes for clinical complications across diverse specialties and patient subgroups.
• Develop and benchmark predictive models, starting with XGBoost and iterating toward LLM-extracted features and multimodal representations.

• Strong Python and SQL skills with proven experience building data pipelines and feature sets from complex, raw sources.
• Expertise in longitudinal event data and temporal reasoning, preferably within a healthcare, EHR, or claims data context.
• High-agency problem solver who can move from ambiguous clinical questions to rigorous, validated, and deployable model outputs.

• Rare access to 10M+ longitudinal patient records and 5.5 petabytes of rich clinical data through a live Mayo Clinic partnership.
• Massive real-world impact with an accelerated deployment timeline into a major 21-site US health system already underway.
• High-ownership founding role in a lean team of four, where your technical decisions define the company’s core AI platform.