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Define requirements and manage Development and, testing, and support of mobile device apps to communicate with selected data acquisition devices, focusing on real-time data display (via time series and XY plots and video feeds) for optimal situational awareness, local data logging, and remote data archiving to cloud-based servers.
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Job Title:- Data Scientist (Remote - Boston, MA) As a Senior Data Scientist, you will collaborate with the Data Science and Machine Learning team and will create data science, machine learning, and Al solutions.
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Lead Data Scientist - Remote. We are seeking a dynamic and innovative Lead Data Scientist to join our fast-growing B2B SaaS company in the technology industry. As a Lead Data Scientist, you will be responsible for developing and implementing data-driven solutions that support our business objectives and enhance our product offerings.
$150,000 - $170,000 a yearFull-timeRemoteExpandApply NowActive JobUpdated 1 days ago - UpvoteDownvoteShare Job
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The Senior/Lead Data Scientist leads efforts to expand the data science capabilities of our company's cloud-based predictive analytics platform. Senior Data Scientist.
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Job Description [Full Time] Senior Analytical Chemist I, Metabolomics at Ginkgo Bioworks (United States) | BEAMSTART Jobs Senior Analytical Chemist I, Metabolomics Ginkgo Bioworks United States Date Posted 08 Jun, 2023 Work Location Boston, United States Salary Offered Not Specified Job Type Full Time Experience Required 3 years Remote Work No Stock Options No Vacancies 1 available Our mission is to make biology easier to engineer.
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Data science, machine learning, optimization models, PhD 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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Should have a strong background in at least two of the following areas: Algorithm Development, Machine Learning/AI and Data Analysis, Mathematical Modeling and Simulation, Digital Signal Processing, Control Algorithms Design.
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In this role, you will play a vital role in analyzing and interpreting next-generation sequencing (NGS) data, contributing to the success of our client projects from initial data exploration to actionable insights.
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As a data scientist, you have the unique opportunity to transform these intricate datasets into valuable insights that address global challenges. You'll craft data collection tools, design data visualizations and dashboards, create algorithms, and develop scripts for data processing or predictive analytics, leveraging machine learning and other innovative approaches.
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The primary responsibilities of this role include leading cross-functional projects to drive scientific innovation and excellence in variant classification, gene-disease validity, computational biology, and clinical data analytics.
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We are seeking a highly motivated and talented Bioinformatics Scientist to join our growing team at Monoceros Biosystems. This position can be either on-site in San Diego, fully remote, or hybrid.
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This role will be working for Aquent Studios as a Data Scientist for one of our top clients' Intelligent Services Group. About the job Data Scientist. Data Scientist Job Summary.
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Janssen Research & Development, L.L.C., a division of Johnson & Johnson's Family of Companies is recruiting for a Senior Scientist, Deep Learning for Biologics Optimization, located in Spring House, PA, Raritan NJ, Cambridge, MA, or San Diego, CA. (Remote work options may be considered on a case-by-case basis and if approved by the Company.
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L3Harris is looking for Systems Engineers to help design, develop, integrate, test, and deliver space based remote sensing systems to our customers and support their on-going operations in the areas of both weather and missile warning/missile defense.
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Work with data scientist team to migration the analytical data and projects to GCP environment and ensure the smooth project transition. Design and Code analysis scripts that can run on GCP using BigQuery/Python/Scala leverage multiple Core data sources.
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