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Draw on experience with Github, machine learning, advanced programming in SQL and Python, Cloud computing such as AWS, Google and Azure, Tableau, and Simio to design, develop and implement a broad array of business analytics that solve complex problems in a computationally efficient manner by leveraging advanced understanding of statistics and data science.
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Experience in analysis, data analysis, data visualization, mathematics, statistical data mining, or data science. Experience in business analysis, data analysis, mathematics, data warehousing, statistical data mining, and/or data science.
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Our data analytics and software platforms support data science, commercial operations, real-world evidence, and cloud information management. High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% 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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Bachelor's degree in computer science, software engineering, or other related field. -Knowledgeable in programming, data structures, computer systems, and software engineering. -Works with data and project managers to understand systems and consults with customers to understand needs.
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Work closely with our data engineering and data science teams to design and optimize data pipelines and ensure efficient and reliable data processing. Collaborating with data engineering and data science teams to understand data requirements and design optimal data pipelines.
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Master's degree from an accredited college or university in health economics and outcomes research (with strong analytical skills), statistics, mathematics, psychometrics/psychology, epidemiology, computer science or related fields.
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Collaborate with Architecture, Infrastructure and Data Science teams to translate their needs or challenges into production-grade Artificial Intelligence and Machine Learning deployment architectures for batch, real-time streaming deployments.
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At the Axtria Data Science Center of Excellence (CoE), we are on a mission to harness the power of AI and GenAI to revolutionize patient outcomes within the life sciences industry. As a Sr Manager within Axtria’s Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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Strong background in data analytics and data science, with proficiency in tools such as Python, R, or MATLAB. The ideal candidate will possess expertise in telecom field networking transformation, data analytics, data science, and geospatial predictive analysis.
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Machine Learning Data Scientist to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, High-Performance Computing (HPC) machines, Data Science tools, products & services in cloud and on-premises for client’s data & analytics organization.
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Evaluates clinical and biomarker data sets from biostatistics and data science, contributes to data analysis, data reviews and interpretation, authors and ensures the quality of study reports and other relevant documents, presents results and insights to internal core teams accompanied by specific, decision making, recommendations.
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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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Purpose of Role: Join our dynamic Supply Chain team as a Power BI Developer where you will harness data from our data lake, integrating inputs from our ERP and third-party vendors to create compelling, informative visualizations that drive business decisions.
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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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data science jobs Title: research in Morristown, NJ
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