Job Description

Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in suppor Digital Health Technology team powers digital experiences and engagement to enhance the lives of millions of people every day through connected care. We build, deliver and manage a portfolio of data management platforms and mobile offerings in support of our core businesses. We thrive on simple and elegant architecture and agility. You'll be immersed in a dynamic high-growth environment and empowered to excel, take informed risks, and drive ingenuity across the enterprise. Data Science Intern About ResMed: We pioneer innovative solutions that treat and keep people out of the hospital, empowering them to live healthier, higher-quality lives. Our digital health technologies and cloud-connected medical devices transform care for people with sleep apnea, COPD and other chronic diseases. Our comprehensive out-of-hospital software platforms support the professionals and caregivers who help people stay healthy in the home or care setting of their choice. By enabling better care, we improve quality of life, reduce the impact of chronic disease and lower costs for consumers and healthcare systems in more than 140 countries. Let's talk about the team and you: The Data Science and AI/ML team collaborates across the organization to identify, develop and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions that improve patient outcomes, delight our partners and customers, and improve the way we do business in an 'AI First' fashion. 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, help optimize complex, global supply chain operations or help empower the direct-to-consumer marketing strategies. As a data science intern, you will work with the team to develop data-driven solutions and insights using the latest technologies in data mining, machine learning and cloud computing. You would gain hands-on experience in understanding business needs, processing real-world big data, researching on leading-edge machine learning algorithms and building predictive models. Let's talk about qualifications: Undergraduate student with at least an expected grade in 2nd upper class in Computer Science, Mechanical Engineering, Electrical and Electronic Engineering, Bioengineering, Statistics, Informatics, or another quantitative field or equivalent. Knowledge in machine learning/operations research fundamental theories and data mining technologies. Knowledge in algorithm complexity vs. accuracy vs. implementation cost. Good SQL and python programming skills. Good coding practice (clean, production-grade code, error handling, testing, etc.) is a plus. Experience with code versioning tools such as Git or Bitbucket is a plus. Experience with or knowledge in cloud computing is a plus. Good communication skills. Willingness to learn from and to collaborate with the team. Let's talk about what you can expect: A supportive environment that focuses on people and best practices Opportunity to design, influence and be innovative Work with global teams consisting of experienced data science and machine learning experts and share new 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 #LI-JC1 Joining us is more than saying 'yes' to making the world a healthier place. It's discovering a career that's challenging, supportive and inspiring. Where a culture driven by excellence helps you not only meet your goals, but also create new ones. We focus on creating a diverse and inclusive culture, encouraging individual expression in the workplace and thrive on the innovative ideas this generates. If this sounds like the workplace for you, apply now!