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Conducts and streamlines quantitative research on signals and factors that predict future stock returns, using data science techniques - large dataset manipulation, Web scraping, natural language processing, and econometrics and statistical techniques.
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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. Design and implement deep-learning (DL) and machine-learning (ML) models to extract valuable insights from large repositories of time-series/biosensor data.
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Drive cross-functional collaboration across our data science, machine learning, lab informatics, and medicinal chemistry teams to advance our computational infrastructure for our drug discovery and development mission.
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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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Strong laboratory skills and a high degree of attention to detail with the experience in following molecular biology and analytical techniques: PCR, gel electrophoresis, gel imaging, SDS-PAGE Mammalian cell culture, transfection, transduction (AAV) Nucleic acid preparation (DNA, RNA), ddPCR, qPCR and data analysis.
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An understanding of data science/statistical modeling. Strategic Areas of Focus for the college's education and research throughout its global network are (1) Resilience, Sustainability, Health, and Equity, (2) Cultural Transformations, Governance, and Globalization, and (3) Network Science, Computational Social Science, Digital Humanities, and Information Ethics.
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Knowledges of Data Science, AI/ML/DL/NLP models, algorithms, Data Integration, MLOpS are nice-to-have. Familiar with IT security/cybersecurity domains is a bonus, including but not limited to cyber engineering, Vulnerability Management, Cyber asset management, SAST/DAST, IAM (Identity Access Management), SSO, MFA, cyber threat intelligence, security operation, access control, network security, security vulnerability, insider threat, data loss protection, etc.
$120,000 - $202,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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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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Position requires a Bachelor’s degree in Finance, Computer Science, Engineering Management, or other related field plus five (5) years of experience in the job offered or five (5) years of experience as a Senior Application Support Engineer, Data Analyst, or a related occupation.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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Minimum Masters degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a closely related field is encouraged. Ability to engage in the data science process, including data exploration, model development and evaluation, training, validation, and deployment.
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The Dana-Farber Cancer Institute's Department of Data Science is seeking a Director of Training and. Teach quarterly in person workshops on topics related to fundamentals of research design and basic data.
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The Chemical Data Science team is tightly integrated with protein and structural sciences, medicinal chemistry, chemical proteomics, and plays an important role in drug discovery project teams.
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data science jobs Title: behavioral health in Boston, MA
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