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ML, NLP, LLM Model Evaluation: Work closely with the other data science team members to develop, validate, and maintain robust evaluation solutions and tools to evaluate model performance, accuracy, consistency, reliability, during development, UAT. Implement model optimizations to improve system efficiency.
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The Position The Rapid Cycle Analytics (RCA) Lead Data Scientist role sits within the Clinical Data Science and Evidence (CDSE) team, which is part of CMR. This role interfaces with internal stakeholders from Health Economics and Outcomes Research (HEOR), Real-World Evidence (RWE), Medical Affairs, Clinical Trials Operations, Market Access, and a few other teams to respond to quick turnaround data analytics requests.
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Designs and develops clinical studies and research plans in support of asset strategy with the Early Clinical Development Leadership team; clinical studies include first-in-human Phase I, proof of concept Phase I/II, entry registrational studies, biomarker qualification studies, and/or clinical pharmacology studies.
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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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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.
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Collaborate with partners across AI Product, Marketing, Sales and Omni Channel Engagement to incorporate market research, brand strategy, and competitive intelligence into Advanced Analytics products.
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Understanding of data science concepts, as well as MDM (Master Data Management), CDP (Customer Data Platform), BI (Business Intelligence), DWH (Data Warehouse) design and implementation techniques.
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Applications should include a resume and a cover letter addressing your interest and qualifications for the position Responsibilities Develop unique and innovative product offerings that transcend traditional reproductions yet allow the Store to market offerings that reflect the richness and diversity of the Museum's collections by:Conducting in-depth research across various curatorial areas to identify distinctive and underrepresented pieces suitable for product development.
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Lead data engineers/development to implement the solutions as per design. Data Architect with ETRM (Energy, Trading and Risk Management) Conduct Database activities such as database creation, management, testing, programming on database, data engineering, reverse data engineering, reporting, analytics, data migration etc based on project requirement.
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As a Senior Data Platform Engineer, you will play a vital role in supporting the broader Data Engineering community to deliver cutting-edge data and analytics platforms for our Research & Development group.
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Learn more at Data Science and Digital Health Analytics & Insights team within Johnson & Johnson Innovative Medicine develops innovative solutions using a variety of data sources across multiple different disease areas, encompassing oncology, cardiovascular and metabolic disorders, immunology, neuroscience, and infectious disease.
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Associate Director , Statistical Programming , provide s functional expertise and leadership to clinical project teams to lead statistical programming teams and support the development, regulatory approval and market acceptance of Bristol Myers Squibb products.
$102,000 - $129,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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The (Associate) Director of Biostatistics acts as a statistical expert supporting the clinical development of compounds as compound and/or indication lead for both early and late-stage programs, and/or as trial responsible statistician with responsibilities as described below.
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We aim to ensure our product is essential to each client's diverse workflow needs by delivering reliable and timely data in an easily consumable form. Knowledge of statistics and advanced data management practices.
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The Senior Manager, Training and Development, Warehouse Management Systems is responsible for leading and executing all training and upskilling initiatives for G-III s Warehouse Management Systems (WMS) required for employees ability to perform resulting in developing industry-leading talent within the Organization.
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market research development data mining jobs Title: director product management Company: Facebook in Princeton, NJ
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