OpenNetworks · 3 hours ago
Senior Data Scientist
United States
Full-time
Onsite
Mid, Senior Level
$155K/yr - $185K/yr
4+ years expOpenNetworks.org is an open-source infrastructure provider for a transparent healthcare marketplace. The role involves architecting intelligence for transparent pricing through automated repricing engines, agentic ML pipelines, and deep classification models.
Hospital & Health Care
Responsibilities
Build and deploy real-time classification models to ingest contracts, claims, Price Transparency, employer and employee data to classify and create insights
Design agents that identify network gaps and automatically curate provider lists for self-funded employers
Engineer sophisticated multi-class models to categorize provider specializations, clinical risk tiers, and longitudinal claims records
Implement 'Ambient Intelligence' to extract structured pricing and clinical intent from unstructured PDF contracts and clinical notes
You will own the full lifecycle—from hypothesis in a notebook to a production-grade microservice
Qualification
Required
4+ years in Data Science. You have ideally made significant contributions before in a HealthTech startup
Mastery of Python, SQL, and the 2026 ML stack (PyTorch, XGBoost, LangChain/AutoGPT for agentic workflows)
Strong experience with a major cloud provider (AWS), DataOcean vendors such as Snowflake, DataBricks, and/or SageMaker
Hands-on experience with MLOps frameworks and platforms (e.g., MLflow, Kubeflow, Sagemaker, TFX, or similar)
You know your way around NPIs, CPT codes, ICD-10, and FHIR standards. You understand why healthcare data is 'dirty' and how to clean it without losing context
Understanding of classification metrics (F1-score, Precision-Recall curves) in the context of imbalanced healthcare datasets
Deep understanding of the machine learning lifecycle, from data prep and model training to deployment and monitoring
Preferred
Experience working in the HealthTech or FinTech industries, particularly with highly regulated data
Experience designing and managing data pipelines (ETL/ELT) for ML features
Knowledge of data governance, security principles, and compliance requirements in healthcare (e.g., HIPAA)
Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field
Benefits
Significant Founding-Level Equity
Company
OpenNetworks
OpenNetworks™ envisions a future where healthcare is driven by collaboration, transparency, and innovation.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase