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The CTO Applied Data & Analytics (ADA) team drives enterprise-wide innovation by leveraging advanced analytics, AI, and automation to transform care delivery and operational efficiency. Our mission is to enable data-driven decision-making and technology-enabled transformation across Kaiser Permanente. We design and implement scalable solutions in areas such as AI strategy integration, robotic process automation (RPA), predictive analytics, and digital health platforms, ensuring alignment with organizational goals for value-based care and operational excellence. Internship Projects: Payer mix modeling, NLP for documentation Predictive modeling for readmissions Computer vision in ophthalmology, radiology, cardiology Patient profile and behavior prediction, Formulary optimization Quality monitoring: Bias audits, regulatory frameworks, patient trust
Job Responsibility:
Under supervision assists in the provision of information, maintenance of databases, report production and routine data analysis
Collects, prepares and tracks reports and summaries such as: budget to actual expenditures, production statistics, and utilization of services and statistical records of performance
Performs a variety of data collection and analysis assignments
Prepares ad hoc data requests as directed
Prepares and/or formats graphs, spreadsheets and reports by utilizing office software
May be asked to maintain databases on a regular basis by entering data and preparing data extracts
May extract information from different sources to compile data
Executes existing queries for established reports
Schedules conference calls and meetings
Contributes to the development of presentations materials
Provides administrative and project support as assigned such as copying, filing, entering and extracting data
Engages in and supports project work
Requirements:
Current enrollment in an accredited college or university program Or recent graduate
Excellent written and oral communication skills
Proficiency with Microsoft Office Suite - excel, word, access and PowerPoint
Proficient with a variety of software applications
Must be able to work in a Labor/Management Partnership environment
Proficiency in Python, R, or SQL for data analysis and modeling
Experience with data visualization tools (Power BI, Tableau)
Familiarity with machine learning concepts and frameworks (e.g., scikit-learn, TensorFlow)
Strong ability to interpret complex datasets and derive actionable insights
Understanding of data governance and compliance principles
Excellent communication and presentation skills
Ability to work collaboratively in a cross-functional team environment
Curiosity and adaptability in a fast-paced, innovation-driven setting
Nice to have:
Knowledge of Access and database experience desirable
Prior office experience also desirable
Exposure to healthcare analytics, AI ethics, or automation technologies
Interest in digital transformation and operational efficiency