Sr. Data Scientist

Sr. Data ScientistMust haves:Bachelor's degree in computer science, artificial intelligence, informatics or closely related field5+ years as a Senior Data Scientist5+ years of healthcare industry experienceRecent experience in designing, developing, and implementing artificial intelligence algorithms, and build scalable production systems focused on clinical and research outcomesOk with working PST hoursPay rate (max): $65.00 c2c all inclusiveDuration: 12 monthsLocation: Los Angeles based candidates who can work a hybrid work schedule OR PST, MST or CST remote candidates who can work PST hours. Interview: remoteQuestions that need to be answered by candidate: Submission summaries need to address the "Must Haves" and "Nice To Have"Job description:The data scientist will derive insights from the vast amounts of patient and environmental data available within our data warehouse. To achieve this goal, client and creative machine learning and statistical analyses are needed. The incumbent will work closely with healthcare researcher teams to design analysis specifications, including input data specifications, data cleaning, algorithms, and interpretation of results. The incumbent will develop and implement algorithms on existing data warehouse records and may nominate new external data sources to be ingested to the data warehouse to strengthen analyses. Analyses will address a wide variety of clinical and research outcomes. The incumbent will research and implement state-of-the-art AI algorithms, apply off-the-shelf AI and data-centric tools, and collect, store, and maintain data. The successful candidate will have demonstrated competence in developing highly scalable artificial intelligence systems with multiple dependencies across teams. Job accountability includes developing, testing, and installing new software applications, enhancing functionality of existing applications, for artificial intelligence and machine learning; designing, developing, and implementing artificial intelligence algorithms, and building scalable production systems focused on clinical and research outcomes; identifying creative uses of artificial intelligence and potential artificial intelligence innovations in health care research; collaborating with a team of programmers and informatics experts to address emerging client needs; collecting and managing new datasets with bearing on artificial intelligence analyses of healthcare data; creating new experimental frameworks to collect data, build tools to automate data collection; correlating similar data to find actionable results and search through large data sets for usable information; creating reports and presentations on analysis results; and remaining current on trends in informatics, machine learning, and artificial intelligence for healthcare.Requirements: Bachelor's degree in computer science, artificial intelligence, informatics or closely related field. Masters preferred.