Senior Data Scientist, Healthcare AI & Outcomes (Remote)

MedBridge Inc.

North Carolina

Remote

USD 120,000 - 180,000

Full time

8 days ago

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Benefits offered by this job

Health insurance

Job summary

MedBridge Inc. is hiring a Staff Data Scientist to lead end-to-end predictive modeling efforts for healthcare outcomes. You will frame problems with product and clinical partners, choose methods, build and validate models, and ship them to production in Snowflake.

You will monitor and retrain models, measure usage and impact, and establish best practices for evaluation, documentation, and responsible use of healthcare data. This is a remote-first role open to qualified applicants in the U.S.

Qualifications

  • First data science or ML hire in an org; end-to-end model ownership.
  • Experience building production models and monitoring.
  • Experience with EHR/EMR or claims data.
  • Experience evaluating generative AI in regulated domains.
  • Strong communication with clinical, product, leadership.

Responsibilities

  • Frame problems with product and clinical partners and choose methods.
  • Build, validate, and deploy models to production in Snowflake.
  • Monitor, retrain, and measure model impact and usage.
  • Establish evaluation, documentation, and governance practices.
  • Collaborate with product, engineering, clinical, and customer teams.

Skills

Python
SQL
Statistics
Machine learning
Causal inference
Data modeling
Communication

Education

Statistics/CS degree

Tools

Snowflake
Git
ETL tools

Job description

MedBridge Inc. is hiring a Staff Data Scientist to lead end-to-end predictive modeling efforts for healthcare outcomes. You will frame problems with product and clinical partners, choose methods, build and validate models, and ship them to production in Snowflake.

You will monitor and retrain models, measure usage and impact, and establish best practices for evaluation, documentation, and responsible use of healthcare data. This is a remote-first role open to qualified applicants in the U.S.

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