Data Scientist

ResMed has always applied the best of technology to improve people's lives. Now our SaaS technology is fueling a new era in the healthcare industry, with dynamic systems that change the way people receive care in settings outside of the hospital–and tools that work every day to help people stay well, longer. We have one of the largest actionable datasets in the industry, creating a complete view of people as they move between care settings. This is how we empower providers–with vital insight to deliver the care people need, right when they need it.

We're also ensuring that our health solutions connect to other companies' networks. Because when objectives align, everyone wins. And as we work today to drive better care and lower costs, we're developing more personalized solutions for tomorrow, utilizing machine learning, intelligent care paths, and predictive protocols. If you are an innovator who wants to make an impact we want to talk to you! We have exciting opportunities supporting Brightree by ResMed and MatrixCare by ResMed!

About the Team  

Our innovative Research and Development team is at the forefront of revolutionizing Home Medical Equipment (HME), Durable Medical Equipment (DME), out-of-hospital care, and home health services. Leveraging cutting-edge Artificial Intelligence (AI) and Machine Learning (ML) technologies, we aim to enhance patient outcomes, streamline caregiver workflows, and drive efficiency across the continuum of care.

Our intelligent solutions are designed to empower caregivers and healthcare providers. By bridging technology and healthcare, we are shaping the future of care delivery, ensuring it is smarter, more efficient, and more impactful.

About You  

As a Data Scientist on our team, you will contribute to the development of cutting-edge AI and ML solutions focused on improving home-based care and automating processes for caregivers. Your work will directly impact how care is delivered, helping healthcare providers focus on patient care by reducing manual tasks. You will research and develop innovative algorithms, deploy models to production, and provide actionable insights for caregivers and stakeholders. Your expertise will drive solutions for chronic disease management, predictive risk assessment, and optimized operational workflows in HME/DME and home health environments.

Responsibilities  

• Conduct research and development of statistical and machine learning algorithms to address complex problems in HME/DME and home health care settings.
• Write production grade code with proper unit test coverage
• Design, test, and optimize algorithms, ensuring they meet product requirements and are scalable, robust, and efficient for deployment in live environments.
• Work on the development and fine-tuning of large language models (LLMs) for tasks such as natural language understanding, content generation, and workflow automation.
• Analyze and interpret large datasets to generate actionable insights for chronic disease management, predictive risk assessments, and caregiver efficiency.
• Collaborate with cross-functional teams, including engineering, product, and healthcare stakeholders, to integrate models into production using a cloud-based ML platform.
• Document models, experiments, tests, and outcomes thoroughly, supporting the creation of technical reports and intellectual property as needed.

Qualifications and Experience  

-4+ years of experience in Data Science, with significant expertise in healthcare, home health, or related fields. 

- Good understanding of Test Driven Development

- Ability to follow industry standards in Object Oriented Programming software development

- Master or PhD in Data Science/Machine Learning or closely related areas such as Computer Science, Operations Research, Applied Statistics, and Biomedical Informatics.

- Strong foundation in machine learning, data mining methods, and statistical modeling. 

- Proven experience in leading end-to-end ML workflows, including data exploration, model development, deployment, and monitoring. 

- Proficiency in Python programming and hands-on experience implementing scalable AI solutions. 

- Expertise in cloud computing platforms, particularly AWS (e.g., EC2, SageMaker, S3). 

- Experience with large-scale data systems such as Snowflake, Hadoop, Spark, or Hive, and relational databases like SQL. 

- Knowledge of feature store and feature engineering pipelines (feast preferred).

- Knowledge of continuous model training, model monitoring and drift analysis.

- Exceptional communication skills, with the ability to present complex concepts to diverse stakeholders, including technical and non-technical audiences. 

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.

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.