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The Candidate: Bachelor of Science in Analytical Chemistry/Pharmaceutics with equivalent industry experience Master of Science in Analytical Chemistry/Pharmaceutics preferred 3 or more years of applicable industry experience in support of pharmaceutical product development Expertise in Instrumentation techniques: HPLC, GC, FTIR, UV, KF, and other wet chemistry testing.
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3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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A Master's degree in health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the application of data science to healthcare data with 5+ years of hands-on programming experience using healthcare data.
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This role will involve directorship of the Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB, RCSB.org) and the opportunity to be part of a leadership team building a new Rutgers translational data science, artificial intelligence, and cyberinfrastructure initiative.
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Job DescriptionEcommerce client's brand marketing team is implementing an Omnichannel marketing framework to manage a personalized customer journey across the ecommerce website for every product category including marketing technologies, data science, business intelligence dashboard and content management platform.
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Develop relationships cross functionally with Data Science, Precision Medicine, Digital Health & Data, and Platform & Partnership teams to drive continuous strategies. Uses SAS, SQL, or other programming skills to create analytical datasets from health care claims, electronic health record, surveys, and other data sources by following protocols and statistical analysis plans.
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Our program provides opportunities in roles such as business technologist and business analyst in areas such as Data Engineering & Analytics, Data/Decision Science, Intelligent Automation, Cybersecurity, Customer (Digital) Experiences, Commercial Excellence, Software Engineering, Cloud/DevOps/Security, and Scientific & Digital Health Technologies.
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This person will help drive improvements in performance, security, maintainability, and scalability of technology platforms within our Data Science & Engineering group (GitHub, Google Cloud Platform, Kubernetes, Apache Airflow, etc.
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A major in either Math, Engineering, Computer Science, Computer information Systems, Cyber Security, Management Information Systems (MIS) and Data Science, and others. We will have you work on rotational assignments for a variety of experiences including Full- Stack development, Cloud, Data, and products like Salesforce, Mosaic, Duck Creek, etc.
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Preferred SkillsAnalytical Thinking, Competitive Advantages, Data Analytics, Data Mining, Data Science, Machine LearningCompetenciesData Architecture, Data Mining, Disruptive Innovation, Information Capture, Machine Learning, Modeling: Data, Process, Events, Objects, Prototyping, Query and Database Access ToolsWork ExperienceRoles at this level typically require a university / college degree.
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IT Qualifications At least two of the following: Bachelor of Engineering – Computer Science, Bachelor of Technology – Computer Science, Master of Computer Application CompTIA A+, Microsoft Certified Professional (MCP) or better.
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Then we bring our expertise across several AI domains including Generative AI, Conversational AI / Virtual Assistant, Data Science, Machine Learning Engineering, Document AI, and Robotic Process Automation.
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Your day at NTT DATAThe Senior Data Science Architect designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services, business requirements, and product enhancement.
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Bachelor's degree in a Chemical or Biological science, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements. Benefits: All job offers will be based on a candidate's skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data.
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Look for a data scientist supporting Global Commercial Data Science at a large pharmaceutical client. PhD + 2 years of experience in HEOR or RWE. Look for a data scientist supporting Global Commercial Data Science at a large pharmaceutical client.
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data science jobs in Piscataway, NJ
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