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Strong proficiency in IRI, RSI, Nielsen, and other customer point of sale systems is required so that we can provide reliable, substantial data analysis. Bring the miracles of science to life alongside a supportive, future-focused team.
$140,500 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Expertise in healthcare data across various types (e.g., open/closed claims, inpatient/ambulatory EMR, commercial labs, social determinants of health) and familiarity with codified healthcare data standards (e.g., NDC, ICD, CPT, HCPCS, CVX, LOINC, NUCC, NPPES.
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Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field is preferred but not required. Degree in Arboriculture, Forestry, Horticulture, Turfgrass, Environmental Science, Plant Science, Outdoor Recreation, Agriculture or a related field is preferred but not required.
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Lead the TPM Immuno-oncology Disease Area Team: Manage a team of experts in Translational Science, Clinical Biomarkers, and Precision Medicine, ensuring regular reviews and strategic planning. As the leader of the TPM team, you will oversee translational science, clinical biomarker development, and precision medicine studies.
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Build and implement computational biology capabilities to translate biological data into insights. Work closely with the software engineering team in development and deployment of both automated production systems and scientist-driven data analysis platforms Provide guidance on experimental protocol design geared toward powering data insights, including scale and quality thresholds Develop novel computational methods for analyses of multi-omics data; identify gaps in existing methods/tools and develop novel solutions to bridge them.
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Transmit the test result to melt shop and verify the correctness of the test data. Makes sure that any unchecked material has a red tag before it enters the melt shop. Transmit the test result to melt shop and verify the correctness of the test data.
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He/she is responsible for the scientific and communication excellence of all data elements agreed to by the matrix team Accountable for end-to-end delivery of HEOR book of work under their remit, from strategy development to content pull through Accountable to ensuring strong partnership with all relevant HEOR COE functions to ensure a comprehensive HEOR voice is represented in cross-functional meetings Executive presence and ability to engage with senior leaders in a cross functional setting.
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Apply Environmental Sequence Stratigraphic (ESS) methodology to complex data sets consisting of lithologic borings, down hole, and surficial geophysical data (including but not limited to Nuclear Magnetic Resonance, Gamma and e-logs, Electrical Conductivity/Hydraulic Profiling Tool, Seismic, and ground penetrating radar.
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Support in evaluating all supply chain operations KPIs, supply chain master data management and labeling logistics operations. Master Data Governance. Inventory Management, Gap Analysis, Cost Efficiency and efficiency of supply processes Standard Master Data KPIs e.g. Completeness, Consistency and Accuracy.
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Maintain awareness of new statistical methods, tools and data sources to ensure that projects represent current state of science, and maintains professional knowledge by reading scientific journals, attending internal and external courses, and undertaking methodological research.
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Design data models to extend business content objects or create new data models (SAP HANA Modeling and ABAP CDS Modeling) to support self-service operational and analytical reporting needs.
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Content Taxonomy & Metadata Optimization – Represent US interests in data model for operational analytics, content taxonomy, information security, compliance reporting and integrations to ensure all government obligations are prioritized appropriately.
$261,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Computer Systems, Continual Improvement Process, General Hse Knowledge , Including Gdp, Knowledge Of Gmp, Manufacturing Production, Master Data, Operations, Order Fulfillment, Order Management, Product Distribution, Sap Erp, Supply Chain, Supply-Chain Management, Transportation, Warehouse Management.
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Generate spreadsheets for data collection, evaluate history of product and recommend on Sample Size as per an AQL Reconcile final inspection documentation for shipments Interact with source inspector as needed and part-take in source inspection duties if necessary.
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At least 8 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions.
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data science jobs Company: Launch Potato in Parsippany, NJ
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