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Bachelor's degree or above in quantitative or engineering fields (Statistics, Economics, Mathematics, Health/Medical Informatics, Computer Science, or similar) The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
$139,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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BS in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field and 4+ yrs of experience as a Marketing/Product Analyst, Data Analyst, Data Scientist, BI Engineer, Analytics Engineer, or similar role.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Currently enrolled in university, pursuing a Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Data Science, Bioinformatics, or other related field.
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PhD in a quantitative field (e.g., mathematics, computer science, engineering, statistics, bioinformatics, molecular biology, biochemistry etc.) Develop and implement algorithms across a range of in-house acquired data including, but not limited to genetic sequences, RNA expression, protein expression and protein structure.
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Job Requirements: PhD degree, or foreign equivalent, in Electrical Engineering, Computer Science, Statistics or Bioengineering or a related field plus 3 years as a Data Scientist or any job title/occupation/position involving Data Sciences.
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Background in Statistics, Computer Science, Machine Learning, Mathematics, Computational Psychology, Operational Research, Physics, or relevant field. Communicate algorithms, complex data science methods, and statistical results with technical and non-technical audiences.
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You have a solid foundation in computer science with strong competencies in data structures, algorithms, and software design. You might be a good fit if :You have 2+ years of industry software engineering experience or a Bachelor's degree in Computer Science.
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Advanced degree in Statistics, Machine Learning, Computer Science, Electrical Engineering, Applied Mathematics, Operations Research, or a related field. Degree in Statistics, Machine Learning, Computer Science, Applied Mathematics, Operations Research, or a related field.
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Other tasks include data collection, compilation, visualization, and analysis, computer modeling, field activities, oral or written presentations to the supervisor, project team, and clients.
$115,000 - $125,000ExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Bachelor's degree in Computer Science or a related field5+ years of experience developing data-intensive backend systems at scaleProven track record of customer-centric technical leadership and delivering customer valueSolid engineering and coding skills (preferably one of Node/TypeScript, Python, Go)Production experience with cloud platforms (GCP, AWS) and cloud native architectureProduction experience with container technologies (Docker, Kubernetes, etc.
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You will leverage workflow scheduling applications and data ingestion infrastructure that powers the analytics and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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Python, Scala)MS or BS in computer science, mathematics, physics or other quantitative fieldsPreferred QualificationsExperience with distributed analytic processing technologies (e.g. Hadoop, Hive, MapReduce, Spark, Solr/Elasticsearch)Experience with cloud based architecture (e.g. Amazon Web Services)Strong interest in news media and our mission.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Knowledge of Statistics, SAS, Python, Computer Vision, data visualization tools.
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data science computer jobs in San Francisco, CA
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