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Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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Recent former analysts have enrolled in top Economics PhD programs, including the University of California—San Diego (UCSD), Boston University, and Notre Dame. A completed bachelor’s degree in economics, Computer Science, Mathematics, or a related degree is required at the time of appointment.
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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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The base salary range for the Associate Director, Clinical Data Science - CEG is from :159,000-208,600. 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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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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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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Ph. D. in Computational Biology, Biostatistics, or a related field. Derive novel prognostic and predictive signatures using statistical and machine learning methods to guide patient stratification and biomarker selection in clinical trials.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Bachelor’s degree in Computer Science, Engineering, Management Information Systems (MIS), Business or related/relevant degree AND minimum of 5 years of experience as a Data Engineer, Database Developer, BI Developer, Software Engineer, Programmer, Technical or Systems Analysts, and/or Database Administrator preferred.
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We need a strong data scientist leader to manage our ML & data science research & development and evolve the services that make up the backbone of Xometry's business. Serve as a strategic leader as part of our data science & machine learning team, with responsibility for Xometry's pricing strategy.
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What you’ll need: A bachelor's degree in Computer Science, Data Science, Engineering, or a related field;Over 8 years of experience in data engineering and analytics technical strategy.
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PhD, MS + 2 years, BS + 4 years of work experience in Computer Science, Machine Learning, Mathematics, Statistics, Operational Research or related quantitative fields. Walmart Global Tech is looking to hire a Senior Data Scientist for our Sunnyvale location.
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Minimum educational qualification is a PhD or equivalent in fields including but not limited to environmental science, communication science, sociology, history of science, data science, and computer science.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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data science jobs Title: data engineer Company: Applied Materials
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