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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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Qualifications: At minimum, a Bachelor’s degree in Chemistry, Biology or related science with a strong background in DMPK and BA including knowledge of the FDA GLPs. + years of Regulatory drug development experience Experience with CTD documents and nonclinical study reports for submission to global regulatory agencies.
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Preferred certifications: AWS Certified Solutions Architect, Databricks Certified Data Engineer, or similar certifications. Develop and maintain data integration workflows to ingest, transform, and load data from various sources into Databricks and AWS data storage solutions.
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Knowledge of social science research methodologies, data applications and repositories, and legal and government information sources. Ability to assess curricular and research needs in social science disciplines, select materials, and build library and data services to meet those needs.
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Experience and solid knowledge of Pharmacovigilance specificallyProficiency in one or more of these additional areas is a plus: CMC/Mfg., Clinical development and trial execution, Regulatory, Real-World Data and Real-World Evidence, Cell and Gene Therapy, Medical Device, IVD/CDxExperienced in understanding and interpreting regulatory guidelines and documents.
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Bachelor's degree in quantitative/relevant field such as Statistics, Operational Research, Computer Science, Economics, Mathematics, Data Science. Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect or ETL developer.
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The research portfolio of the Dermatology Service includes optical engineering, artificial intelligence, basic science, translational science, epidemiology and clinical trials with over $5 million of annual funding from NIH, Foundations, Industry, and philanthropic sources.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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Expertise in BigQuery query optimization and backend data preparation for integration with frontend tools such as Tableau and Power BI.Experience in data processing using Python scripting.
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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.
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Bachelor of Science degree in Social Work, Public Health, or Behavioral Health, Master’s degree preferred. The Community Health Worker (CHW) instructor will be responsible for providing classroom instruction delivered remote live, utilizing the approved curriculum from the New Jersey Department of Health (DOH) in courses for the Community Health Worker Institute training and certification program.
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Prior experience in medical claims data sets (IMS, SDI, Symphony, Flatiron) is a plus, as is prior marketing research experience. Agility, Brand Awareness, Cross-Functional Collaboration, Customer Engagement, Customer Experience, Customer Insights, Data Strategy, Digital Marketing, Go-To-Market Strategy, Influencing Skills, Inspirational Leadership, Marketing Strategy, Media Campaigns, People Management, Product Marketing, Product Roadmap, Return on Investment (ROI), Stakeholder Engagement, Stakeholder Management, Strategic Marketing.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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Primarily in civil design; including complex earthworks, mining (tailings, heap leach pad, waste rock stockpile design, reclamation), stormwater and surface-water controls, groundwater science, landfill design and remediation, and civil infrastructure in the power sector and water treatment facilities, as directed by the Team Leader, team members, and/or project engineer.
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Technical Competencies:Sound knowledge and hands-on experience in design and implementation of data engineering pipelines in an Azure cloud environment using: Azure Data Lake Storage Gen2 ADF V2 Databricks Synapse Analytics API DevelopmentProficient use of tools, techniques, and manipulation including Cloud platforms, programming languages, and an understanding of data engineering practices.
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data science jobs Title: research associate in New Providence, NJ
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