Staff AI Researcher - ML and AI Modeling in Epidemiology - Remote

Overview

As a Staff AI Researcher, you will develop ML and AI solutions that will improve health for millions of people. You will partner with other engineering and analytics teams, bringing AI technology into existing products and workflows.

In Short

• Develop ML and AI solutions for healthcare improvement.
• Lead efforts to harness extensive medical data sets.
• Train and fine-tune models using various ML techniques.
• Work with large, complex data sets for analysis.
• Deliver working POC solutions addressing speed and scalability.
• 8+ years of statistical analysis and machine learning experience.
• Background in Epidemiology, particularly chronic condition modeling.
• Experience with Python and large-scale distributed systems.
• Track record of significant contributions to the field.
• Preferred qualifications include a Ph.D. or Master's degree in a quantitative discipline.

Requirements

• BA/BTech in Statistics, Data Science, Computer Science or related field.
• 8+ years of relevant statistical analysis experience.
• 8+ years of relevant machine learning experience.
• Experience with ML tools and frameworks for large-scale projects.
• 3+ years of Python programming experience.
• Experience in addressing challenges from incomplete data.
• Demonstrated leadership and self-direction.
• First-author publications at peer-reviewed conferences.
• Experience with statistical software like R, SAS, Python packages.

Benefits

• Opportunity to impact healthcare for millions.
• Work in a collaborative environment with engineering teams.
• Access to extensive medical datasets for research.
• Professional growth opportunities in AI and healthcare.
• Flexible working arrangements.