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Bachelor’s degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Experiences in healthcare datasets (e.g., Komodo, IQVIA, Symphony, Truven, Optum, Flatiron, Charge Master, Lab, Provider and Payer data) Experiences in data visualization tools (e.g., Tableau, PowerBI, Qlik Sense.
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An advanced degree (master's or doctoral) in a quantitative fields including but not limited to Computer Science, Applied Mathematics, Astro/Physics, Computational Chemistry, all relevant engineering and science disciplines.
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5+ years of experience providing research and/or data support in business, finance, economics, and/or other social science research environments required. Expert knowledge of financial data platforms such as Bloomberg, Capital IQ, Refinitiv, WRDS, FactSet, and/or other business information platforms.
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At 1910 Genetics, we put computation at the heart of drugdiscovery, blending expertise in computational chemistry, structuralbiology, pharmacology, genetics, data science, and softwareengineering to develop drugs for previously undruggable targets.
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Or, alternatively, Master’s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and one (1) year of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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OverviewThe Tufts University School of Medicine Graduate Programs (TUSMGP) department confers the Doctorate in Physical Therapy (DPT), Master of Public Health (MPH), Master of Medical Science (MMS) by the Physician Assistant Program, Master of Science in Health Informatics and Analytics (MS-HIA), and Master of Science in Biomedical Sciences (MBS.
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An understanding of data science/statistical modeling. Advanced practical experience with data management, reporting, analysis and data visualization software (e.g., Tableau, SPSS, Alteryx, Hyperion, R, Python, Cognos, etc); Experience with Salesforce; Advanced Excel skills; Excellent data visualization, report preparation, and written communication skills, including ability to prepare and deliver presentations to an executive audience; Individual must be able to conduct rigorous, applied research that informs the strategic goals of the university.
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A Ph. D. in Bioinformatics, Computational Biology, Data Science or a related fieldExperience in scientific publications and proposal writingBiostatistics experience, experience using biostatistics tools in MATLAB or RActive U.S clearanceWhat We OfferBenefits (focus on unique benefits vs.
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Proficiency in Python for data science and image processing (e.g., TensorFlow, PyTorch, scikit-image, OpenCV, pandas). A bachelor's degree in a quantitative field (e.g., computer science, biostatistics, electrical engineering, bioengineering, computational biology, or related area) or equivalent experience.
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PhD in Chemistry, Artificial Intelligence, Machine Learning, Data Science, Material Science, or a closely related field. Our mission is to accelerate the transition to sustainable energy by leveraging the power of artificial intelligence and material science.
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This position is with the Signal Processing team at WHOOP. As a Signal Processing Engineer, focused on Deep Learning, you will be part of a cross-functional team composed of Signal Processing, WHOOP Labs, Firmware, and Data Science.
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As a Machine Learning Engineer Co-Op, you will work closely with cross-functional teams, including Data Science, Software Engineering, and Product Management, to develop machine learning models, implement solutions, and ensure the successful deployment and maintenance of these models in production.
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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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Proficient in programming and data analysis e.g., R, Python, SQL. Familiarity with data visualization tools such as Spotfire or Tableau is a plus. Advanced degree in a related field such as Computer Science, Engineering, Mathematics or Quantitative Finance is preferred.
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data science jobs Title: senior Company: Cytel in Boston, MA
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