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Expertise with core data science languages (such as Python, R, Scala), and proficiency with key database systems (e.g. SQL, NoSQL). Excellent written and verbal communication, business analysis, data visualization and data storytelling skills.
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Through this opportunity, you will work with a multi-disciplinary team consisting of engineers, scientists, and clinicians to process large biomedical datasets, develop and evaluate machine learning algorithms, and implement data visualization tools for advanced medical imaging technologies.
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PhD in crop science, soil science or a scientific related field. Master’s degree in crop science, soil science, or a related scientific field with 3-5 years of experience within a research-intensive soil science role.
$75,000 - $90,000 a yearFull-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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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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Employ CBA data visualization and editing tools to aid in the efficiency of gap analysis in CBA development, generating Joint Capabilities Integration and Development Systems (JCIDS) products, and provide a persistent data model that will reduce the need to re-create data across multiple program documents, and will feed requirements documentation, allocation, and tracking tools such as Dynamic Object-Oriented Requirements System (DOORS.
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This involves the 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 clients facility.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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Direct, hands-on experience with mass spectrometry data workflows through multiple commercial and/or open-source peptide sequence search engines. Demonstrated expertise of how to develop quantitative and reproducible proteomics data sets to inform on molecular characterization in drug discovery programs.
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8+ years experience in business analytics, data science, software development, data modeling, and/or data engineering work. You'll play a pivotal role working with other Data Engineers who build and maintain the data pipelines and data lake that enable and accelerate Data Science, Machine Learning, and AI, as well as the engine for real-time segmentation and marketing automation within Constant Contact.
$127,600 - $159,500Full-timeExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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Must have one (1) year of experience with Python scripting language; Must have one (1) year of experience with SQL; Must have one (1) year of experience with statistical data analysis and visualization methodologies; Must have one (1) year of experience with classical machine learning modeling;Must have one (1) year of experience with model deployment and MLops methodologies.
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Experience with: multivariate statistics, (e.g., machine learning, multiple regression, structural equation modeling, trend analyses) program evaluation, survey research, data acquisition and organization for the purposes of building statistical models.
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Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics.
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Must have Master's degree or foreign equivalent in Computer Science, Computer Engineering, Electronic Engineering, or a related field and 2 years experience in the proffered position, or as a Developer, Software Engineer, Technology Analyst, Programmer Analyst, or related occupation.
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As an Azure Databricks SME you will play a crucial role in developing and implementing Azure Data Lake, MDM, and Veeva CRM integrations. In addition to Databricks, individual will provide oversight to Azure Cloud, and Veeva CRM data integrations.
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Bachelor’s degree in environmental science, natural resources, wetland science, soil science, ecological sciences, or related field preferred. VHB’s growing Natural Science team is looking to add a Senior Environmental Scientist/Project Manager.
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data science visualization jobs Title: director in Bedford, MA
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