Remote Otter LogoRemoteOtter

Head of Data Science and Machine Learning - Remote

Posted 31 weeks ago
Data Analysis
Full Time
USA
AI
Machine Learning
Data Science
Python
R
Git
Docker
AWS
Leadership
Epidemiology

Overview

Atropos Health is seeking a leader to accelerate the integration of AI and machine learning into its healthcare products, focusing on improving patient outcomes and advancing medical research.

In Short

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

Requirements

  • 10+ years in machine learning, data science, or AI with leadership experience.
  • Graduate degree in a relevant field (e.g., Computer Science, Statistics).
  • Strong leadership skills in startup environments.
  • Experience in developing production-level code (Python, R, etc.).
  • Comfort with cloud environments (e.g., AWS).

Benefits

  • Comprehensive health benefits including medical, dental, and vision.
  • Parental leave of up to twelve weeks for eligible employees.
  • 401k plan for retirement savings.
  • Flexible work environment with a remote-first policy.
  • Home office stipend for remote setup.
  • Company offsites for team building.
Atropos Health logo

Atropos Health

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 dedicated to transforming the healthcare landscape by delivering timely and relevant real-world evidence, thereby expediting medical research and improving care delivery.

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