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Strong understanding of data science approaches including machine and deep learning; background in immunology, biology or oncology a plus. Demonstrated experience applying machine learning and deep learning algorithms to medical imaging analytics including CT, MR, and/or PET scans; experience in additional imaging domain (H&Es, IHC) a plus.
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Knowledge of emerging contaminants, ESG, product stewardship and safety, health and safety, PSM, and international regulations is a plus. To succeed in this role, candidates must have a minimum of 10 years of experience in a related field and their Professional Engineer (PE) certification and/or NJ Licensed Site Remediation Professional (LSRP) certification.
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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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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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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field. S&P is a leader in risk management solutions leveraging automation and AI/ML. This role is a unique opportunity for hands-on ML scientists and NLP/Gen AI/ LLM scientists to grow into the next step in their career journey and apply her or his technical expertise in NLP, deep learning, GenAI, and LLMs to drive business value for multiple stakeholders while conducting cutting-edge applied research around LLMs, Gen AI, and related areas.
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Knowledge of JavaScript and the AngularJS framework is a plus. Required Skills : •3-5+ years in Python •Proficient understanding of distributed computing principles and Resilient Distributed Dataset •3+ years of Agile Scrum and Scrum Kanban experience •Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala •Experience with NoSQL databases, such as MongoDB, HBase, Cassandra •Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
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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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Description : The Associate Director reports directly to the Director of US Commercial Real World Data Strategy and is based in central NJ. He/She has responsibility for designing and executing the Brand Data Strategies for the pre-launch, launch, and inline brands/indications for a multi-billion-dollar product portfolio.
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Industry certifications such as ASP, CSP, CHMM a plus. You drive, maintain and improve operational HSE processes, initiatives, projects and campaigns, provide data based direction for improvement, while building capabilities and a learning culture together with the site leadership team.
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This position, in collaboration with the Museum’s Senior Manager of Data Operations, is responsible for ensuring that gifts and pledges are recorded, reported, and acknowledged in a timely manner.
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Implement data integration solutions using Azure Data Factory and Snowflake. Design, develop, and maintain ETL processes to extract, transform, and load data from various sources into SQL Server databases.
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This role aims to enhance employee experience, ensure accurate HR data, and foster a culture of continuous improvement within a virtual and global framework. Establish and roll-out governance frameworks to ensure data compliance, data quality and data security on a global scale.
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Mathematica is seeking a Data Platform Engineer to join the Health Unit’s Health Solutions Insights (HSI) team. As part of the AI Health Outcomes Challenge held by Centers for Medicare and Medicaid Services, members of this team developed a cloud data pipeline and machine learning architecture to make predictions with a large multiyear sample of Medicare beneficiaries with detailed claims data about millions of people.
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Must possess a Bachelor’s degree or foreign equivalent in Information Technology, Data Science or a related field and minimum 3 years of experience in ROI analytics, business analysis, sales analysis, forecasting, quantitative finance, data science.
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a plus data jobs Company: Microsoft in Princeton, NJ
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