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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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As part of the Biomarker Science & Technologies (BST) group at Takeda, you will report to the Head of Sample and Data Operations, Director and you will will w ork to advance the mission of BST and its contributions to the clinical program lifecycle.
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Director, Data Science. Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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Bachelor's degree in a technical course of study such as Computer Science, Data Science, Mathematics, or Economics. Deep understanding of data mining, machine learning, data modeling, and ONA. Experience with visualization tools and statistical packages (SAS, R, Tableau, PowerBI) and SQL.
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Bachelor's, Master's, or PhD degree in a computational or quantitative discipline, including but not limited to data science, statistics, computer science, computational linguistics, biomedical informatics, neuroscience, physics, epidemiology, health economics.
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Educational Outreach: Collaborating with the Head of Tokenization Platform Strategy, and the FDAM investment research, data science and digital asset strategist teams in conducting educational sessions and workshops to enhance awareness and understanding of tokenization concepts and asset tokenization models and token economics.
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The candidates will have the opportunity to work with other fellows in a laboratory focused on the research fields of allergy, sample-free blood biomarker detection, universal influenza vaccines, laser-based antimicrobe technology, and photobiomodulation-mediated regeneration (please see recent publications in Science, Nature Nanotechnology, Advanced Materials, Materials Today, Science translational medicine, and Nature communication.
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Pursuing a Bachelor’s Degree in Urban Planning, Transportation, Sociology, Economics, Civil Engineering, Data Science, or a related field. Data collection and analysis. Performing analyses using a variety of tools including Excel, Adobe Creative Suite, PowerBI, GIS, R, FME and (depending on the project) more detailed tools such as Massmotion, SYNCHRO, Vissim, HASTUS, and Remix.
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Support project teams for development of research methods, preliminary isolation/identification of process impurities, reaction kinetics, reaction mechanism and data management (in collaboration with Analytical Development.
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Job Summary Langan is seeking an Environmental Engineer, Scientist or Geologist to join its collaborative team in Boston, MA. This individual will serve a key function in providing site exploration activities including, but not limited to contaminated site investigation and remediation work; soil and groundwater sampling; vapor intrusion investigation; remedial investigation, design, implementation, and monitoring; pilot tests; data management, processing, and evaluation; and report preparation.
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Solid knowledge of earth science and property insurance to perform complex financial, actuarial or business analysis. Develops and improves the framework of using catastrophe risk management software for data input, model set-up, model execution, result extraction and loss analytics.
$186,000 a yearFull-timeExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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The Science Writer is a key link between dedicated oncologists, scientists, and research sponsors who comprise the wide Dana-Farber community. The Science Writer must first understand the science, and then translate that knowledge accurately into a form that is both interesting and intelligible to the sponsor.
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data science jobs Company: Cigna in Boston, WI, Canada
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