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We are a premier IT consulting firm specializing in delivering top-tier Data Science solutions to companies across various sectors such as finance, energy, e-commerce, logistics, travel, retail, entertainment, automotive, and healthcare.
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The Data Scientist will collaborate closely with product, operations, engineering, data science, and clinicians to provide best in class analysis of oncology care pathways and contribute to technical product requirements with supervision from senior scientists.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Bachelor's degree in Computer Science, Applied Mathematics/ Data Sciences/ Data Analytics or related discipline required, advanced degree preferred.
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Develop the enterprise’s capacity to develop insights with advanced analytics such as data science, natural language processing, AI/ML, network science etc. At least five (5) years of professional experience in institutional research leadership and conducting outcomes assessment and/or applied social science research (quantitative, qualitative, mixed- and multi-method) preferably in a higher education setting and including three (3) years of team supervision.
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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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Programming, SOLIDWORKS, FPGA programming, digital design, digital signal processing, image processing, data analysis, RF design, or structural analysis. Job Description The group seeks a Student Technical Assistant to work with our engineering staff on advanced concept demonstrations in the areas of data analysis, algorithm development, software development, digital signal processing, hardware design, and flight test support.
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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We are seeking a rock star Senior Data Scientist to join our Risk Data team within the Ecosystem Fraud Team at Square. Create and maintain ETLs and data pipelines for continuous data integration and analysis.
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Authority in Node.js, Angular, Spring, and Java, applying expertise to drive the development and implementation of data solutions. Bachelor's or foreign equivalent Degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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A minimum of 7 years of experience in data science, engineering and bioinformatics in the life sciences. Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
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Development of a control system architecture, selecting the components to be used, detailing schematic diagrams and system documentation, programming controllers (PLC, DCS, RTU), programming the process visualization (HMI/SCADA), developing databases for archiving/displaying historical system data and implementing/commissioning the control system at the client's facility.
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We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology.
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Analytical Skill, Analytical Skill, Analytical Thinking, Chemical Biology, Chemistry, Clinical Trials, Communication, Curiosity, Data, Data Analysis, Design of Experiments (DOE), Detail-Oriented, Drug Development, Drug Discovery Process, Ethics, Gene Therapy, Group Problem Solving, Immunology, Inventory Management, Laboratory, Large Group Presentations, Leading Project Teams, Life Science, Machine Learning (Ml), Medical Research {+ 9 more.
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Building and maintaining data pipelines for the development, implementation, execution, validation, monitoring, and improvement of data science solutions. Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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Principal Scientist – Materials Science – LA, SF or MA. PhD in Life Sciences/Chemical Engineering/Life Science with specialization in upstream processes, or multiple years in the manufacture of pharmaceutical plastics.
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data science jobs Title: data scientist Company: Jerry in Medford, MA
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