Senior ML Data Scientist, Real-Time Healthcare AI

Devconnectplatform

United States

On-site

USD 120,000 - 180,000

Full time

12 days ago

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Job summary

Bayesian Health is seeking a Senior/Staff Machine Learning Data Scientist to lead end-to-end model development for real-time clinical insights. You will map data through AWS services, write production-grade Python and SQL, and own model effectiveness in production.

You will collaborate with clinicians, engineers, and product managers to prioritize features and deliver life-saving AI models. The role emphasizes independent prototyping, deployment, and cross-functional storytelling, with a focus

Qualifications

  • Ph.D. in a relevant field plus 3+ years experience shipping ML based software products.
  • Experience owning ML models from prototyping to production, especially real-time algorithms that update dynamically across time.
  • Experience writing production-grade Python and SQL code to implement and evaluate ML models in production systems.

Responsibilities

  • Model prototyping: develop and tune innovative ML models and labeler systems based on clinical use cases.
  • Productionizing: production-grade Python code and deployment of ML models.
  • Cross-functional alignment: translate model performance into insights for technical and non-technical users.

Skills

Python
SQL
Machine Learning
Statistics
Production-grade code
Cross-functional collaboration

Education

Ph.D. in a relevant field

Tools

PyTorch
PySpark
HL7
FHIR
EHR
MLFlow
Bayesian statistics
Time-series forecasting
Anomaly detection

Job description

Bayesian Health is seeking a Senior/Staff Machine Learning Data Scientist to lead end-to-end model development for real-time clinical insights. You will map data through AWS services, write production-grade Python and SQL, and own model effectiveness in production.

You will collaborate with clinicians, engineers, and product managers to prioritize features and deliver life-saving AI models. The role emphasizes independent prototyping, deployment, and cross-functional storytelling, with a focus

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