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Head of Data Science and Machine Learning - Remote

Posted 37 weeks ago
Software Development
Full Time
USA
Data Science
Python

Overview

Atropos Health is the developer of GENEVA™ OS, the operating system for rapid healthcare evidence across a robust network of real-world data. Healthcare and life science organizations work with Atropos Health to close evidence gaps from bench to bedside, improving individual patient outcomes with data-driven care, expediting research that advances the field of medicine, and more. We aim to transform healthcare with timely, relevant real-world evidence.

In Short

  • Lead the strategy for data science and AI at Atropos Health.
  • Deliver innovations across product lines in clinical research and life sciences.
  • Contribute code to the analytics platform and develop new products.
  • Recruit and lead a team of AI, ML, and data science experts.
  • Uphold standards of scientific integrity in AI technologies.

Requirements

  • 10+ years in machine learning, data science, or related fields.
  • Graduate degree in Computer Science, Statistics, Data Science, or related field.
  • Leadership skills in startup environments.
  • Experience with Python, R, Git, Docker.
  • Comfort with cloud environments like AWS.

Benefits

  • Employer paid Medical, Dental, Vision, Life, STD, and LTD insurance.
  • Up to twelve weeks of paid parental leave.
  • 401k plan for retirement savings.
  • Flexible work environment with a remote-first policy.
  • Team offsites 2-3 times a year.
Atroposhealth logo

Atroposhealth

Atropos Health is a pioneering company that develops GENEVA™ OS, an innovative operating system designed to provide rapid healthcare evidence through a comprehensive network of real-world data. The organization collaborates with healthcare and life science entities to bridge evidence gaps from research to patient care, ultimately enhancing individual patient outcomes through data-driven approaches. Atropos Health is committed to transforming the healthcare landscape by delivering timely and relevant real-world evidence, integrating advanced AI and machine learning technologies into its products to expedite research and improve clinical practices.

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