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About the Role

As a Lead Data Scientist, you will provide technical leadership on high-impact AI initiatives, transforming raw physiological data into clinically validated, production-ready models. You will collaborate across cross-functional teams to solve complex healthcare challenges and mentor team members to elevate technical standards.

Responsibilities

• Lead end-to-end design, development, validation, and deployment of machine learning models using physiological and digital health data.
• Translate clinical and product challenges into robust machine learning solutions with appropriate metrics and validation.
• Apply digital signal processing and modern machine learning techniques to wearable and medical device data.
• Establish modeling standards and provide technical leadership on time-series and biomedical signal problems.
• Develop rigorous evaluation frameworks accounting for clinical ground truth, class imbalance, and patient-level generalization.
• Partner with Data Engineering and Platform teams to productionize models and build scalable pipelines.
• Collaborate with Medical Affairs, Clinical, Regulatory, and Quality teams in a regulated environment.
• Mentor data scientists through technical reviews, coaching, and best practice sharing.
• Communicate complex scientific concepts and influence decisions through evidence-based reasoning.

Requirements

• Master's degree or PhD in Data Science, Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, Physics, or a related quantitative field.
• Significant industry experience applying machine learning to real-world problems and leading projects end-to-end.
• Deep expertise in machine learning approaches, including classical methods, ensemble models, and deep learning.
• Strong experience with time-series data and signal processing techniques.
• Solid foundation in statistics, experimental design, and model validation.
• Advanced Python and SQL skills with experience developing production-quality code.
• Experience working with cloud and data platforms such as AWS and Snowflake.
• Proven ability to influence cross-functional stakeholders and lead technical direction.
• Experience with physiological or wearable signals such as PSG, EEG, ECG, PPG, respiratory flow/pressure, or SpO2.
• Background in healthcare, medical devices, or regulated environments.
• Familiarity with Software as a Medical Device (SaMD) and AI/ML lifecycle management.
• Experience partnering with clinical and medical stakeholders.

Skills

• Machine Learning
• Digital Signal Processing
• Time-series analysis
• Statistics
• Experimental design
• Python
• SQL
• AWS
• Snowflake
• Technical leadership
• Mentorship

Experience Level

• Lead

Education Level

• Master's degree
• PhD

About the Company

• Resmed uses AI and machine learning to improve the lives of people living with sleep and respiratory conditions.
• Operates in more than 140 countries, providing AI-powered digital health solutions, cloud-connected devices, and intelligent software.

Equal Opportunity

• We are committed to building a diverse and inclusive workplace and welcome applications from people of all backgrounds.
• We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace.