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A Bachelor's degree in subject areas such as Library Science, Linguistics, Mathematics, Statistics, Data Science, Computer Science, or other computer-related specialization.
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Git); SQL Server, Javascript, Microsoft Office ApplicationsBachelor’s degree in museum studies, Information science, computer science or related field with proven interest in cultural heritage data management.
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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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REQUIREMENTS:Bachelor’s degree required in policy, law, economics, engineering, or basic/applied science (such as physics, chemistry, material sciences, environmental science, earth sciences, etc.
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Ph. D. in an engineering or science field such as Computer Science, Electrical Engineering, Statistics, or Applied Math Strong background in Deep Learning and/or Medical Image processing 4+ years of industry experience or post-doctoral studies in Computer Vision, Machine Learning and Image Understanding preferred.
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The ideal candidate for this position should have work experience in cell therapy process development, manufacturing science, analytical development, and familiarity with GMP/FDA/ICH guidelines.
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Minimum of 5 years of experience in machine learning and AI, with a focus on large language models and generative AI.Versioning control tools, Git, Gitlab, CICD tools, Dockers and KubernetesKnowledge of data science, machine learning & deep learning models and expertise in statisticsExperience with machine learning frameworks such as TensorFlow, Keras, or PyTorch and other open sources ML frameworks.
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Familiarity with emerging Analytics / Data Science capabilities and their application to healthcare / life sciences. Broad knowledge of secondary pharmaceutical data sources such as Retail & Non-Retail data, Medical & Pharmacy Claims, EMR, Lab Test/Diagnostics, Chart Audits, Patient Hub & Specialty Pharmacy Data, 852/867 EDI and Health System/Payer – Plan hierarchies.
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Qualifications: Bachelor's degree in Computer Science, Information Systems, or a related field. If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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Oversee a coherent and cogent agenda for the development and execution of interdisciplinary research programs described above which are conducted by ETS scientists who work — often in collaboration with researchers at universities and institutions from around the world — in disciplines that include statistics, psychometrics, educational research, cognitive science, psycholinguistics, AI, computer science, and public policy.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
$207,763 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Manufacturing Science & Technology Specialist SRG offers flexible staffing solutions with a national presence. Title: Manufacturing Science & Technology Specialist Location: Princeton, NJ Industry: Pharmaceutical Hours: MON - FRI - 8AM - 5:00PM Salary: Up to $60/HR. Based on Experience (Paid Weekly - Benefits Available) Employment Type: 3 month contract (Possible direct offer) Essential Job Functions: The MS&T Specialist provides technical support to Princeton, NJ Facility.
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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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The Lead Discovery & Optimization Group leverages technology, innovation, and broad scientific knowledge to deliver comprehensive in vitro data packages to support all phases of early drug discovery at BMS. We are seeking a highly motivated and innovative scientist to drive the development and implementation of cell-based assays supporting multiple therapeutic areas.
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Demonstrate competency with laboratory work and use of analytical instrumentation Interpret XPS analytical data and apply understanding of the data to solve specific problems Knowledge/experience in other surface analysis techniques is a strong plus, e.g. XRF (X-Ray Fluorescence), SEM (Scanning Electron Microscopy), RBS (Rutherford Backscattering Spectrometry.
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computer science applied data processing jobs Company: Ford Motor Company in Princeton, NJ
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