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This is an exciting opportunity as we combine the best of physics-based modeling with data analytics and machine learning to accelerate drug discovery and bring benefit to patients.
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The majority of these hands-on requests involve pulling data from Real World Data repositories such as Medical Claims, Electronic Health/Medical Records, Lab results, Census data, CDC Surveys (, NHANES) as well as internal systems of record to conduct a diverse range of analyses, primarily using tools like Snowflake SQL, R, Python, Tableau, others, while working with the team lead to deliver the results in a succinct and effective data story.
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Provide technical excellence to apply state-of-the-art machine learning / artificial intelligence utilizing technologies such as Spark, R, Hadoop, Scala, SQL to real world infrastructure business problems.
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How you’ll make an impact: As a Staff ML Ops Engineer at SiriusXM, you will be a key player in our Data Platform Team. Your role will be pivotal in deploying, managing, and optimizing machine learning (ML) models, leveraging advanced tools like Databricks and MLFlow.
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And will contribute to the assessment and implementation of novel analytic approaches involving digital image analysis, machine learning and other emerging technologies critical to the continued scientific leadership of BMS. The successful candidate will also provide pathology subject matter expertise to clinical trial teams spanning early to late-stage development, and will have opportunities to engage with key academic partners on BMS supported research studies.
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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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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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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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The team's work is essential in supporting feature developments that use artificial intelligence and machine learning including Bloomberg Law's Docket Key, Points of Law, Brief Analyzer and Draft Analyzer, Bloomberg Tax's search capabilities and Bloomberg Government's State Bill Comparison.
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Proficiency in data analytics tools such as Excel, SQL, SAS, Alteryx, MicroStrategy & Tableau. 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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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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Skilled in data extraction and summarization from large datasets using SQL and basic statistical analysis using preferred languages (i.e., Python, SQL, R) required. Uncover "critical moments" along a customer's journey for marketing intervention using common sources of consumer and census data.
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Develops and executes strategies to identify and fulfil complex information needs company-wide using advanced techniques, methodologies, and technologies in text-mining, natural language processing, data mining, machine learning, and data visualization.
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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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Are you an experienced lithotripsy technician, or a radiologic technologist interested in expanding your knowledge by learning a new skill? Are you an experienced lithotripsy technician, or a radiologic technologist interested in expanding your knowledge by learning a new skill.
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