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Exciting Opportunity at MSK: Postdoctoral Fellow in Computational Genomics and Cancer Data Science. We are seeking computational postdoctoral researchers with a strong background in machine learning and an interest in developing and applying quantitative methods to problems in translational cancer biology and cancer data science.
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Successful candidates must have an MS degree in Data Science or Computer Science or a closely related area (a PhD degree is preferred). Knowledge in data/computer science pedagogy is a plus.
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Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics. 5+ years of experience in applied data science or quantitative research or related role.
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Ph. D. in neuroscience, biomedical engineering, computer science, bioinformatics, mathematics, neuropsychology, or related fields. Fellows will be expected to analyze multimodal imaging data in human and nonhuman primate (e.g. macaque, marmoset etc.
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You will be embedded on the Orchestration team that runs workflow scheduling applications and data ingestion infrastructure that helps power the analytics, operations, and data science behind our flagship streaming applications - Disney+, Hulu, ESPN+, and Star.
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A career in our Cybersecurity, Privacy and Forensics will provide you the opportunity to solve our clients most critical business and data protection related challenges. These projects should be targeted to enable multiple business processes and/or source data systems to drive efficiencies and reduce redundancies supporting one or more of the following functions: internal audit, compliance, enterprise risk management, operational risk management, technology risk management, third party risk management, cyber security, business resiliency, incident management, SOX (and/or other compliance frameworks), or other business programs/initiatives.
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New York Institute of Technology's six schools and colleges offer undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity; biology, health professions, and medicine; architecture and design; engineering; IT and digital technologies; management; and energy and sustainability.
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Bachelor's, Master’s, or PhD in social sciences (e.g., Economics, Political Science, Sociology, Psychology, Communication), or in a quantitative field (e.g., Statistics, Informatics, Econometrics) with experience answering social questions.
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Reporting directly to the Assistant Commissioner of Management Analysis and Planning, with wide latitude for independent initiative and judgment, the Director of Data Science and Innovation will assist senior leadership in making evidence-based decisions.
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Working knowledge or coursework in data science and knowledge of data science languages such as R, SQL, and Python. Bachelor's Degree (BS/BA), 1-2 years of experience in data science, data analytics, or paid media as an intern or full-time.
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Work closely with other members of data science, MlOps, technology teams in the design, development, and implementation of the ML model solutions. Develop Models Based on Standards and Best Practices: Ensure that the models are designed and developed while adhering to specified standards, governance and best practices in ML model development as specified by senior Data Science and MLOps leads.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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A bachelor’s or master’s degree in engineering, computer science, environmental science, statistics or data analytics supported by 5 to 7 years of work experience in EHS or ESG software.
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4+ years of experience in data architecture, data management, data engineering, data science or data analytics. Bachelor's degree in Computer Science, Data Science, Information Technology, Information Systems, or a related field.
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A Ph. D. in Applied Mathematics, Machine Learning, Computational Biology or Computer Science with emphasis on applications in molecular biology and/or computational pathology (required.
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Ensure operational excellence in collaboration with partners for application of standards, data acquisition, proactive data review and data integrity monitoring, data cleaning, e-data processing, data access and visualization, and database release.
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data science in jobs Company: Biospace in Jersey City, NJ
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