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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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We are expanding in data science to provide the best information possible utilizing the latest techniques in Machine Learning (including Deep Learning, Neural network). Our data scientists work closely everyday with project managers, subject matter experts and software engineers to work on challenges in machine intelligence, data mining, and machine learning, and work together with agility to build capabilities that impress our customers.
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Leveraging more than 30 years of experience in life science informatics, we are uniquely positioned to deliver a portfolio of innovative BioPharma knowledge management technologies to streamline the capture, analysis, reporting and sharing of data required to accelerate the next generation of life-changing therapies.
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At J.Jill, our success is guided by a culture that values the intrinsic art of creativity and the data science required to drive our future growth. We are collaborative and data-centric, with every associate focused on creating our customers unique experience and delivering results through our omnichannel business model.
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Bachelors degree, Masters degree, or evidence of expert skill in BI, data science, computer science, econometrics, operations research, statistics, Information Management, or related analytical field.
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Associate's Degree in Medical Technology, Biomedical Science, Biology or Chemistry required. Bachelor's Degree in Medical Technology, Biomedical Science, Biology or Chemistry preferred.
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Experience in writing queries (SQL, Python, R, Scala) as needed and experience with various data technologies such as Azure Synapse or SQL Server, Snowflake, Databricks. Our client The Virginia Department of Transportation (VDOT) Information Technology Division is seeking a Data modeler to develop Data models for Data Assets and implementation of a cloud-based data management platform that will support the agency.
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Minimum 2 years of management and leadership experienceKnowledge of Windows workstation platforms, Azure AD, Intune/Modern Management, GPO, Microsoft o365, Microsoft Endpoint Configuration Manager (formerly SCCM)Limited immigration sponsorship may be availablePreferred Technical skills:Data Science / Analytics using a multitude of data sources.
$102,500 - $210,600 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A Bachelor’s degree in Soil Science, Environmental Science, Physical Geography, Agriculture, Ecology or a technical Soils related field is required. Join a team that has the environment down to a science.
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Exploring the adaptation of novel data science and machine learning applications to current issues in Transplantation. 4-year degree in data science, computer programming, data analytics, healthcare, or related field of study, or equivalent work experience.
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The successful candidate will have opportunities to collaborate with UNBC faculty with expertise in chemistry, microbial ecology, forest health, meteorology, hydrology, vertebrate and invertebrate biology, natural resource management, and soil science.
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Keywords: fisheries, biology, water, water resources, engineering, design, planning, permitting, nepa, environmental, ferc, project manager, program manager, construction, science. We are seeking Design Professionals, Program Managers and Technical Services Area Professionals to serve as engineers of record, group managers and technical practice leaders with expertise and interest in working on fish ecohydraulics, fisheries and aquatic science and fish hatchery design projects in North America and beyond.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.
$100,000 - $155,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Required 10 Years Hands-on experience with Azure services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure SQL, Azure Synapse Required 5 Years Hands-on experience in SQL Server (SSIS, SSRS, SSAS), ORACLE, T-SQL Required 10 Years Hands-on experience in Azure SQL Database, Azure SQL Datawarehouse Required 7 Years Hands-on experience in deploying and maintaining large-scale data processing pipelines.
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data science jobs Title: project in Richmond, VA
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