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Experience with data analysis software (R, Python, SAS, SQL), visualization tools (Tableau, Power BI), and big data platforms (Hadoop, Spark). Proficiency in advanced analytics techniques such as data mining, predictive modeling, machine learning, and artificial intelligence.
$160,000 - $280,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Exposure to Python, Data Science and Machine Learning methodologies desired. - Proven experience as a Data Architect, with a focus on blockchain and cryptocurrency applications.
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Bachelor s degree (or foreign education equivalent) in Applied Computer Science, Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and five (5) years of experience as a Principal Data Engineer (or closely related occupation) performing data engineering and data warehousing development, using Oracle PL/SQL, Snowflake, AWS, NIFI, Python, and Informatica Power Center.
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1, 2, 3, 4, 5 represents priority rankings, where 1 is highest priority and 5 is lowest priority of those ranked Minimum Education Bachelor Additional Qualifications: Field of Study Biology Computer Science Statistics and Decision Science Software R Python Linux Shiny HTML Skills Scientific Data analysis Data visualization Data processing Data integration Machine learning Apply now.
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You have experience with data extraction language (e.g., SQL, SAS, R, Python, etc.) You are aware of pharmaceutical industry health data standards such as CDISC and MedDRA. You have experience managing data for real-world evidence programs, registries, or other post-marketing studies.
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Embedded within Tempus as an onsite researcher, the postdoctoral fellow will have direct access to over 200k de-identified samples with genomic and clinical data, a large organoid repository with genomic and pharmacological screening data, a huge computational environment, and mentorship and collaboration from clinicians, molecular biologists, and data scientists.
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In this role you will serve as product owner for multiple scrum workstreams including responsibility for developing technical and product definitions, and partnering closely with Engineers and Program teams across the Onyx organization, AI/ML, and a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few.
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Use Excel, SQL, and data visualization tools such as Power BI to analyze and aggregate data generated by Self-Help's programmatic activities. Work with DPI colleagues in fundraising, investor relations, compliance, policy, impact assessment, and community engagement to ensure that data systems, analyses, and reports are adequately serving their needs and work with Self-Help's Data Intelligence Group (DIG) to optimize them.
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Experience with cloud and on-prem enterprise storage environments such as EMC VMAX/PowerMax, Data domain, SRDF, SnapMirror, NetApp, Veritas Netbackup, VMware, EC2, EBS, FSx or S3, S3 Glacier or S3 Glacier Deep Archive.
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The Assistant Vice President for Data Strategy and Governance (AVP-DSG) will serve as the leader for developing and implementing strategies associated with research data governance, security, and compliance at Duke University.
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5+ years of experience generating analytical insights to drive business actions, including experience with a range of analytical tools and techniques, such as SQL, Qlik/Tableau, Python, R, etc.
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The QA analyst will be a member of a Data Engineering Scrum team that is delivering solutions focused on using state of the art data and analytics tools including traditional and near real-time data warehousing, big-data, relational and document-based databases using both extract, load, transform (ELT) toolsets as well as REST APIs and FHIR. The ideal candidate will be comfortable with data science platforms with proven experience leveraging DevOps and Test Automation tools.
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Expert level analysis skills in the form of research, gap analysis, data mining, and data profiling. : Data Modeling, SQL, Snowflake, AWS, Hadoop, ERD/ Data Modeling, OBIEE, Power BI.
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This position supports the provisioning and maintaining CICS transaction servers, VSAM data replication, and disaster recovery on z/OS platforms in support of the business applications. The Fidelity Enterprise Infrastructure – Mainframe Transaction and Data Management team is seeking a Director CICS Systems Programmer to join our organization.
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DE designing, planning, and implementing database migration practices from On-premises data centers to Amazon Web Services (AWS) Cloud Infrastructure within a Continuous Integration/Continuous Delivery (CI/CD) data environment using Oracle Data Pump (expdp and impdp), database links, and Database Management Systems (DMS); and setting up infrastructure on Azure using Terraform code.
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