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Collaborate with senior leadership to integrate data strategy into the overall business strategy. Strategic Planning and Execution: Develop and implement a comprehensive data strategy aligned with business goals.
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Study Strategy: Clinical study leader (CSL) or major scientific/medical contributor; For large or complex Phase 2 studies: Provides the strategic direction to BD&O for EDC, edit checks, data quality listings, SAP, DM plan, Reviews patient population and protocol compliance for consistency with study strategy, develops biomarker strategy in collaboration with TMCP, collaborates with external KOLs to refine study plans; Prepares and participate in regulatory agency meetings, if applicable.
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Bachelor's degree in relevant field- Computer/Data Science, Economics, Mathematics, Statistics. This person will collaborate with data architects, product owners, data scientists and C-suite executives to develop/enhance solutions aligned with the business strategy of the bank.
$140,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Minimum of 8 years of experience in data management, data strategy, or a related field. This role requires expertise in data strategy, architecture, and management, with a focus on leveraging advanced technologies to drive business success.
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They will operate by leading peers from cross-functional teams including but not limited to: CRM Campaigns, Sales Campaigns, Sales Enablement, Database Marketing, Offer Strategy, Finance, Digital, and Data Science & Customer Analytics.
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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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Hands on development experience with: Python, Spark, SQL, Cloud-based ETL tools, Azure Data Factory/Databricks and Snowflake. Keywords : Python, Spark, SQL, ETL, Azure Data Factory/Databricks, Snowflake.
$175,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Current enrollment at Virginia Tech in a Bachelor’s degree program in Accounting, Finance, Data Analytics, Business Intelligence, Economics, Business with IT/Computer Science, Statistics, Math or related major at an accredited college or university.
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Prepare and write Pharmacovigilance (PV) sections of aggregate safety documents, e.g. Development Safety Update Reports (DSUR), Periodic Benefit Risk Evaluation Reports (PBRER), and analyze data for the Reference Safety Information (RSI) section of the Investigators Brochure (IB.
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Our data analytics and software platforms support data science, commercial operations, real world evidence, and cloud information management. We help to optimize business strategy and operations by delivering cutting edge analytics from the broadest set of data sources, combined with deep technical and domain expertise.
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Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers.
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Senior Experience in designing, building and operationalizing large-scale enterprise data solutions and applications using one or more of GCP data and analytics services in combination with 3rd parties - Spark, Hive, Databrick, Cloud DataProc, Cloud Dataflow, Apache Beam composer, Big Table, Cloud BigQuery, Cloud PubSub, Cloud storage Cloud Functions & Github.
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The research portfolio of the Dermatology Service includes optical engineering, artificial intelligence, basic science, translational science, epidemiology and clinical trials with over $5 million of annual funding from NIH, Foundations, Industry, and philanthropic sources.
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Engage in ongoing scientific exchange about the science and clinical application of Rare Disease portfolio to external stakeholders, obtain and share insights about current practice, treatment landscapes, and emerging clinical and scientific data.
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Lead marketing operations initiatives in HubSpot and Salesforce such as managing the lifecycle strategy, lead scoring evaluation, lead nurturing, segmentation, and data cleansing. As the Marketing Automation Manager, you will own the marketing automation platform, integrations, and be responsible for fully leveraging its capabilities, setting processes, optimizing lead scoring, landing pages, and maintaining data hygiene.
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data science strategy jobs Company: Apple in Bernards, NJ
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