Let's talk about the team

Our AI Centre of Excellence (AI-CoE) Team is advancing Artificial Intelligence & Machine Learning (AI/ML), Generative AI (Gen AI), and Optimization initiatives that drive our business in an "AI First" approach. ResMed's commitment to improving the lives of sleep apnea patients through our extensive sleep data offers unparalleled opportunities for AI/ML innovation. On any given day, the team could be working on building sophisticated models to delivering personalized recommendations to patients to improve their sleep, identify optimal equipment and settings using our unparalleled store of billion+ nights of sleep data, proactively identify other health risk factors, build conversational AI applications to engage patients, or help optimize complex, global supply chain operations.

Let's talk about the role

As a Senior Data Scientist, you will design and deploy AI/ML and Generative AI solutions across key business areas at ResMed, leveraging cutting-edge machine learning and cloud technologies. Your work will help personalize the patient journey-from early disease identification to treatment and ongoing support-by building models for diagnostics and therapeutics in sleep-disordered breathing, COPD, other respiratory conditions, and chronic disease management. You will also contribute to Large Language Model (LLM) initiatives, including fine-tuning models for summarizing clinical data and patient-device interactions, while developing LLM guardrails and robust evaluation mechanism to ensure responsible use of AI in healthcare. On the operations front, you may also get the opportunity to develop AI/ML and Optimization models for demand forecasting and supply chain optimization.

Acting as both an individual contributor and subject matter expert, you'll translate complex clinical and business challenges into scalable AI-driven solutions, while collaborating with global teams to improve patient outcomes, enhance efficiency, and drive innovation.

Let's talk responsibilities:

• You will research, customize when necessary, and develop artificial intelligence and machine learning algorithms to meet complex product requirements. Your tasks will include defining hypotheses, executing necessary tests and experiments, evaluate, tune and optimize algorithms and methods always with an eye towards implementation ease, scalability, and robustness in a live environment.
• You will work closely with other stakeholders from Product Management, Engineering, and other business stakeholders to create impactful, intelligent features and products.
• You will collaborate closely with other team members including other Data Scientists, Machine Learning Engineers, and Data Engineers and "own" the end to end process
• You will be given wide authority to develop creative model-based solutions but will also be held to high quality and accountability standards
• You will mentor and train more junior team members and serve as ago-to expert in your area of statistics and machine learning
• You will thoroughly and diligently document the model design, experiments, tests, validations, and live metrics and outcomes, typically on Confluence. You may be asked to write documents for use in the preparation of intellectual property and technical publications

Let's talk qualifications and experience:

• PhD or Masters in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics
• PhD with 2+ or Masters with 4+ years of industry experience in AI/ML modeling
• Rigorous academic or experiential knowledge of the mathematical essentials for Data Science, including key concepts in probability and statistics, optimization, time series analysis, linear algebra and discrete math
• Deep grounding in AI/ML techniques including regression methods (linear, logistic, lasso, support vector, etc.), classification (tree-based models such as XGBoost and Random Forest, Neural Networks, Deep Learning - CNN, RNN, LSTM, etc.), as well as knowledge of clustering and unsupervised learning, time series forecasting and optimization methods
• Solid foundation with development of data analytics systems, including data exploration/crawling, feature engineering, model building, performance evaluation, and online deployment of models.
• Proficient with server-side programming in Python.
• Hands-on experience in handling large and distributed datasets on Hadoop, Spark, Hive, etc.
• Strong database skills and experience, including experience with SQL programming.

Preferred Qualifications

• Experience in healthcare Industry
• Generative AI/LLM modeling particularly in healthcare settings
• Experience in Operations Research (OR) based modeling
• Experience with AWS or other cloud-based tools and technologies for data pipelining, model development and deployment a huge plus
• Experience with parallel computing

Let's talk about what you can expect

• A supportive environment that focuses on people's development and best implementation
• Opportunity to design, influence, and be innovative
• Work with inclusive global teams and the open sharing of new ideas. We want your ideas!
• Be supported both inside and outside of the work environment
• The opportunity to build something meaningful and see a direct positive impact on people's lives!
• Dream big, iterate and experiment to drive innovation