Lead AI Enablement Scientist

Responsibilities

• Partner with AI/ML product teams and Data Science leaders to align on use cases, priorities, and business goals
• Assess new and existing data sources to determine availability, quality, linkage feasibility, and label readiness
• Lead early-stage data discovery for AI/ML initiatives to identify risks, constraints, and opportunities
• Collaborate with data platform, warehouse, and engineering teams to clarify data access pathways and reusable data needs
• Work with Privacy, Legal, Medical Affairs, and Product stakeholders to determine feasibility and support decision-making
• Recommend data labeling, outcome definition, and new data collection strategies to unlock high-value use cases
• Produce clear discovery assessments to help teams make better, faster data decisions

Requirements

• PhD with 3+ years or Master’s with 7+ years of relevant industry experience in data science or data engineering
• Strong experience working with large, complex datasets and conducting exploratory data analysis
• Solid foundation in data processing, statistics, and digital signal processing
• Experience with time-series data, including segmentation, feature extraction, and pattern recognition
• Proficiency in Python and SQL
• Experience with cloud and data platforms such as AWS and Snowflake
• Strong communication and stakeholder management skills

Preferred Qualifications

• Experience working with physiological or wearable data (e.g., PSG, EEG, PPG, ECG, or respiratory signals)
• Healthcare or medical device experience within regulated environments
• Understanding of the AI/ML product lifecycle and Software as a Medical Device (SaMD)
• Experience working cross-functionally with Engineering, Product, Medical Affairs, and Regulatory teams

About the Company

ResMed creates life-changing health technologies that empower millions of people in more than 140 countries to live happier, healthier lives. Our AI-powered digital health solutions, cloud-connected devices, and intelligent software make home healthcare more personalized, accessible, and effective.