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Extensive experience working with large complex data and proficiency in corresponding query/ programming languages such as SAS, R, Python, or SQL plus experience with other big data technologies such as Hadoop.
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Senior Scientist, Translational Data Science page is loaded. You have a strong knowledge and practical experiences with high density data types in a clinical setting (genomics, transcriptomics, proteomics, flow cytometry, TCR sequencing, immune assays, etc.
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You have good knowledge and understanding of data science approaches including machine and deep learning; application in imaging domain (H&Es, IHC, radiomics) a plus. For more than 20 years, its passionate, innovative and collaborative team has invented next-generation antibody technology platforms and leveraged translational research and data sciences, which has resulted in a proprietary pipeline including bispecific T-cell engagers, next-generation immune checkpoint modulators, effector function enhanced antibodies and antibody-drug conjugates.
$114,375 - $190,625 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Expert data storytelling, communication, and presentation skills to effectively communicate complex ideas, advise senior leadership, and ensure medical impact. Leading a cross-TA team, the Executive Director of MPO serves as a trusted and objective strategic partner to Medical Directors across BMS TAs – delivering transformative value through data, actionable intelligence, and insights to inform tactics supporting medical strategy.
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Co-own with relevant stakeholders the site HSE continuous improvement plan considering Firmenich HSE global Strategy, HSE global management Principles & Codes, Data, new business requirements, new/updated regulations and employees’ input and by providing data analysis, trending, and recommendations and providing technical and administrative direction on HSE matters at the site.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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This position reports to Head of Biostatistics and Data Management (BDM) within Research and Development (R&D) Department at SPARC. Main responsibilities will include effective leadership, planning and oversight within the Clinical Data Management (CDM) function as well as facilitating collaboration across all R&D functions to ensure rigorous collection and analysis of data.
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Specifically, the Senior Director leads Forecasting, Gross-to-Net calculations, Commercial Sales Force Structure, Incentive Compensation, Commercial Analytics of Performance and Opportunities, Operational Expense tracking, CRM and administration/Support of all Commercial applications, platforms, systems, data warehouse, and Master Data Management processes.
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Preferred: Azure Active Directory, Azure Data Lake, Azure Kubernetes Services, Okta. Azure Administrator Associate, Azure DevOps Engineer Expert. Azure Administrator Associate, Azure DevOps Engineer Expert.
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Proficiency in contract management systems (e.g., Salesforce CPQ, Model N, iCyte), ERP systems (e.g., SAP, Oracle, D365), and Microsoft Excel for data analysis and reporting. Expectations include managing data validation processes with internal team and external vendors, adjudicate rebate and formulary validation processes accurately and before payment deadlines, oversee payments of managed care and government rebates, and manage Market Access payments including purchase requisitions, purchase orders, and ACH funding for copay programs.
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Oversee and manage the current storm water and stream monitoring program which includes data collection and reporting in addition to construction management of storm water features installed as part of new campus-wide program of stormwater mitigation strategies.
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Display a robust understanding ofLarge-scale data mining and reporting tools (e.g., SQL, MS Access, Essbase, Cognos) and other financial systems (e.g., Oracle, SAP, Lawson, Microsoft Navision, JD Edwards.
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Manages and utilizes a variety of parking management software including PaybyPhone, Genetec, T2, and other systems to for quality control, data analysis, and continuous improvement efforts to deliver service of parking and transportation needs.
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Extensive knowledge of a broad array of systems including Clinical Trials Management System (CTMS); Risk Based Monitoring (RBM); Electronic Trial Master File (eTMF); Electronic Data Capture (EDC); Clinical Studies Operational Data Warehouse & Analytics; Site Training and Resource Management etc.
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Comfortable working with Senior Executive Teams. Significant experience in pharmaceutical/biotechnology and extensive knowledge of drug development processes, ICH-GCP guidelines, 21 CRF Part 11, and major Health Authority regulations as they pertain to the operational aspects of clinical trials.
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big data jobs Title: senior engineer Company: Diverse Lynx in Monmouth Junction, NJ
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