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The University of Southern California (USC) is looking to derive insights from vast amounts of patient and environmental data available within their data warehouse using novel and creative machine learning and statistical analyses.

Requirements

• Proficiency in developing and implementing artificial intelligence (AI) and machine learning (ML) algorithms
• Experience in building highly scalable AI systems with multiple dependencies across teams
• Ability to utilize state-of-the-art AI algorithms and apply off-the-shelf AI and data-centric tools
• Expertise in managing and analyzing large datasets, including data cleaning, transformation, and integration
• Strong skills in statistical analysis and deriving insights from patient and environmental data
• Capability to correlate similar data, find actionable results, and search large datasets for usable information
• Experience in creating experimental frameworks for data collection and automation of data processes

Responsibilities

• Derive insights from the vast amounts of patient and environmental data available within the data warehouse
• Develop and implement algorithms on existing data warehouse records
• Nominate new external data sources to be ingested to the data warehouse to strengthen analyses
• Design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results
• Develop and implement artificial intelligence (AI) and machine learning (ML) algorithms
• Utilize state-of-the-art AI algorithms and apply off-the-shelf AI and data-centric tools
• Collect, store, and maintain data

Other

• Bachelors degree in computer science, artificial intelligence, informatics, or a closely related field
• Ability to work closely with research teams to design analysis specifications, including algorithms and interpretation of results
• Experience in collaborating with programmers and informatics experts to address client needs
• Ability to create clear, concise reports and presentations to communicate analysis results effectively
• Must be able to work Pacific Time Zone hours, regardless of physical location