Java Programming, Python Programming, C Programming, Azure, AWS, PyTorch, TensorFlow, Kubernetes-K8s, Google Cloud Platform (GCP), Data Analytics, R Programming, MLflow, Image processing, Computer Vision (CV), IBM Cognos, Large scale data processing
We are looking for a data scientist to join our team to build the next generation of AI models to impact healthcare. You will be building, maintaining and improving all parts of the AI development pipeline from data ingestion to production. You will enjoy working with a highly talented and diverse team on some of the richest data sets in US healthcare
This AI/ML Engineering opportunity is an exciting role that will expand your knowledge and will allow you to create commercial grade AI solutions for various medical imaging products that have the potential to directly improve the radiologists and cardiologists work efficiency as well as improve patient’s clinical outcome. We have access to state-of-the-art tools in ML, comprehensive cloud support, and extensive data from our large customer installed base.
This role will consist of the design, development, and optimization of innovative AI solutions, from data ingestion and machine learning modeling to integration into our products. The AI Enterprise Imaging team has product and development stakeholders throughout the business unit and works closely with academic and industrial partners. The AI Data Scientist is expected to work with all stakeholders to fulfill the Company’s business needs
What will I be responsible for in this job?
What are the requirements?
What other skills/experience would be helpful to have?
How much should I expect to travel? <5%
Employees in roles that require travel will need to be able to qualify for a company credit card or be able to use their own personal credit card for travel expenses and submit for reimbursement.
Change Healthcare is a provider of revenue and payment cycle management that connects payers, providers, and patients in the U.S. healthcare system. The name also refers to a company founded in 2007 which subsequently became part of the current conglomerate.
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