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    Four essential players for your healthcare data analytics team

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    Title: Data scientist

    Job description: Experience collecting various data and making it usable. Also experience in “soft skills” such as working with a team and various levels or management and staff. “It is crucial for our data scientists to have strong problem-solving skills, a keen sense of process analysis to translate business problems to data problems, a collaborative mindset, and the ability to bring data to life through storytelling,” says Ang Sun, chief artificial intelligence officer at Cambia Health Solutions, a nonprofit total health solutions company, based in Portland, Oregon.

    Expertise in data visualization and preparation, pattern recognition, and text analytics. May have experience as a data statistician or programmer. Many have a master’s degree or doctor of philosophy degree in mathematics and statistics, computer science or engineering.

    Why this position matters: Being able to leverage technology and data to make it actionable across the organization is key to improving and simplifying patient experience and outcomes, Sun says. “From the proactive identification of individuals for specific clinical interventions, to optimizing the consumer experience, to saving our consumers money by detecting and stopping incorrect or anomalous claims, data scientists strive to improve healthcare for all,” Sun says. “The team collaborates with a wide range of business partners to operationalize data-driven personalization.”

    Next: Business intelligence manager

     

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