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5 or more years of demonstrated Experience with HR People Analytics, Workforce Intelligence, or Learning and Talent analytics preferably in corporate HR setting (e.g., Organizational Effectiveness, HR Metrics/Analytics, Data Science, Talent Analytics, Market Research.
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Under the general supervision of the Executive Director for Institutional Research and working collaboratively within the IR Team and with Teams from other units, the Associate, Academic and Institutional Studies II (Data Analyst) undertakes studies of considerable scope and complexity including recognizing side issues or related problems for further inquiry and for recommending lines of approach to incorporate them into the main study or to pursue them through a separate project.
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Experience leading data science infrastructure strategy and implementation and familiarity with data warehouse design, development, and best practices. Job Description We are looking for a experienced leader to manage a newly centralized Data Science and Analytics team.
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Johnson & Johnson Innovative Medicine is recruiting for a Senior Scientist, Discovery Data Science to help advance Artificial Intelligence/Machine Learning (AI/ML) for Drug Discovery.
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The qualified candidate will report to the Head of Clinical Data Science and is expected to have the following responsibilities:· Perform integrative analyses of multi-omics data from clinical trials and research cohorts, including genomics, transcriptomics, proteomics, and imaging, to identify biomarkers related to treatment mechanism and response, and potential therapeutic targets.
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An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline. Strong understanding of data science concepts.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Establish, develop, and implement optimal bioinformatics pipelines for the analysis of next-generation sequencing and other -omics data. · Collaborate with translational scientists and clinicians to design and execute data analysis strategies that address key clinical oncology research questions.
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Bachelor’s or graduate degree in Health Informatics, Public Health, Data Science, Epidemiology, Biostatistics, Public Policy, Health Policy, Health Services Research, Health Information Sciences, Computer Science, or a closely related field.
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This high performing team works with clients to implement the full spectrum of data analytics and data science, from data architecture and storage to data engineering and querying, to data visualization and dashboarding, to predictive analytics, machine learning, and artificial intelligence as well as robotic process automation (RPA.
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Extensive experience and expertise, demonstrated via a strong publication record and prior work experience, in the analysis of cancer genomics data, including whole-genome sequencing, exome sequencing, RNseq, and epigenomic data.
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Demonstrated expertise in statistical theory and a wide range of statistical methods and machine learning techniques for high-dimensional multi-omics data. Develop and publish relevant bioinformatics methodologies, pipelines, and algorithms, and stay abreast of the latest advancements in bioinformatics, machine learning, and oncology research.
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PhD in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field.
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As an Associate Director, Data Science in Translational Proteomics, you will be part of the Translational Medicine and Cancer Biomarker Development team, responsible for the biomarker strategy and implementation.
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Provide Data Science Persistent Infrared (PIR) analytical support, on-site at WPAFB, OH. The selected candidate focus is on improving the data and PED systems of production threads, to include Requests for Information (RFI), rapid scripting, process improvement, technique discovery, and data validation.
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data science jobs Title: senior data analyst Company: Unitedhealth Group
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