About the team
Our Data Science and AI/ML team is dedicated to improving patients’ outcomes and lives, delighting our partners and customers, and improving the way we do business in an “AI First” fashion. We collaborate across the organization to identify, develop, and deliver Artificial Intelligence (AI) and Machine Learning (ML) powered software solutions. 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, or help optimize complex, global supply chain operations.
About you
As a Data Scientist, you will undertake applied research and development in the areas of data science, ML, AI, biomedical informatics, and operations research. You will use the latest technologies and methods in ML and distributed computing. The functionality and algorithms you develop will be used in a range of diagnostic and therapeutic applications, such as sleep disorder breathing, chronic obstructive pulmonary disorder, and other respiratory disorders, as well as co-morbidities such as congestive heart failure and diabetes and chronic disease management. You will apply scientific rigor to deliver data analysis, model training, feature selection, model transparency (explainability), fairness (bias analysis and mitigation), and reproducibility (lineage). You will deploy your models into production and monitor them using our innovative AI/ML cloud platform. You will communicate insights to a broad audience of stakeholders and leaders.
Responsibilities
- Research, development, and customization of statistical and ML algorithms to meet complex project requirements (including defining hypotheses, executing tests and experiments, evaluating, tuning and optimizing algorithms and methods to specific situations)
- Big data analysis to evaluate possible data-driven solutions
- Apply and promote best practices for scientific rigor and code scalability
- Draft documentation that explains how algorithms are implemented, verified, and validated
- Prepare documents for intellectual property and technical publications
- Monitor industry trends and understand regulatory requirements (e.g., FDA mandated)
- Work within ResMed quality system, standards and maintaining training requirements
Qualifications and experience
- Knowledge in fundamental machine learning theories and data mining methods (e.g., complexity vs. performance, performance metrics, loss function, various ML model types, etc.)
- Experience in training and deploying models (exploratory data analysis, feature engineering, model training, model serving, model monitoring)
- Proficient in statistical methods (e.g., sampling, bias, hypothesis tests, probability, time series, etc.)
- Proficient python programming, experience implementing scalable code
- Solid AWS (Amazon Web Services) skills (e.g., EC2, SageMaker, S3)
- Hands-on experience in handling large and distributed datasets (e.g., Hadoop, Spark, or Hive, etc.)
- Database experience including SQL
- Masters or PhD in Data Science, Computer Science, Math, Physics, Biomedical Informatics, Operations Research, or another quantitative field
- Preferred, but not necessary, 3+ years' industry or academic experience in data science.
What you can expect
- A supportive environment that focuses on people development and best practice 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!
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!
#LI-APAC
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! We commit to respond to every applicant.
