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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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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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A PhD and 3+ years post-PhD experience in bioinformatics, computational biology, and data science. Develop and optimize analysis workflows to analyze NGS data, including both whole genome sequencing (WGS/WES), targeted sequencing, and bulk/single cell RNA Seq.
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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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Under direct supervision from Biostatistician and PI may perform basic analyses on structured data. With supervision, responds to queries created by a CRO or the data manager. Follows required processes, policies, and systems to ensure data security and provenance.
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Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user-facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data/computing/analysis platforms, and multi-omics applications.
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Pipetting, cell culture, Data entry, Laboratory, Gmp, Specimen processing. Our client, Q2 Solutions, a leading global clinical trial laboratory services organization providing focused on comprehensive testing, project management, supply chain, biorepository and specimen management, and clinical trial sample and consent tracking solutions is seeking Associate Scientists top support their vaccine laboratory and the vaccine development life cycle.
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Experience with building data pipelines in getting the data required to build and evaluate ML models, using tools like Apache Spark or other distributed data processing frameworks.
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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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Proven experience as a Data Architect, with a focus on blockchain and cryptocurrency applications. - Exposure to Python, Data Science and Machine Learning methodologies desired. - Proficiency in understanding enterprise data architecture concepts, master data management, data modeling and design techniques.
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Performs advanced cardiac ultrasound services and procedures to patients utilizing independent judgment, with real-time and off-line manipulation of echocardiographic images for capture, display and analysis of echocardiography data.
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The Pearson Virtual Schools SRE team is looking for a Senior Site Reliability Engineer (SRE) to support our applications recently migrated from legacy data centers to the cloud. The Pearson Virtual Schools SRE team is looking for a Senior Site Reliability Engineer (SRE) to support our applications recently migrated from legacy data centers to the cloud.
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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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Job Family:Laboratory Technician (Digital)Travel Required:NoneClearance Required:Ability to Obtain Public TrustWhat You Will Do:We are currently searching for a Laboratory Technician to support research in our lab which includes coordination of research tasks with the Principal Investigator (PI) and other members of the lab, conducting experiments, generating, analyzing, and interpreting data as well as drafting data and method summaries for scientific presentations and publications.
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Skills and Knowledge: Candidate must also possess: Demonstrated Expertise (“DE”) building data warehouses and developing Big Data Hadoop solutions using Snowflake, Informatica, Airflow, Control-M, UNIX, Spark SQL, and Python.
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entry data jobs Title: data entry clerk in Durham, NC
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