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Minimum of 6 years of experience in pharmaceutical research, with an emphasis on data engineering, data science, data integrity, and data governance. You will work closely with data scientists, data engineers, and platform engineers to scale the Vertex Data Platform, which is Vertex's cutting edge technology ecosystem for Data Engineering, Data Science, and Advanced Analytics.
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This include applying data science and technology skillsets when working with large-scale financial institutions, financial technology ("fintech") organizations, and other money service businesses.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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Support project teams for development of research methods, preliminary isolation/identification of process impurities, reaction kinetics, reaction mechanism and data management (in collaboration with Analytical Development.
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Qualifications: PhD degree in computer science, information science, computational linguistics, biomedical informatics, data mining, or a closely related field. Topics of study include lightly supervised or unsupervised methods, learning from vast amounts of unlabeled data, and combining knowledge from multiple sources in a joint probabilistic framework.
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Experience (EMEAA):Five or more years of experience in leading master data governance initiatives in material management, transportation management, and distribution centre/warehouse management Good understanding of Business Systems – SAP, Coupa, POE/OMS, Salesforce, Steriworks, Omnitracs RoadNet, Descartes or similar Transportation Management Systems (TMS) Foundational understanding of Product, Services, Supplies etc.
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Develop and implement computational strategies to analyze and integrate multi-omics data, including genomics, transcriptomics, proteomics, and metabolomics. Ph. D. in computational biology, bioinformatics, biostatistics, computer science, or similar discipline with 6+ years of experience in pharmaceutical R&D or M.S. with 12+ years of experience or B.S. with 14+ years of experience.
$234,300 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience with data science/ML/AI products, Engineering, construction, Telecom outside plant projects and/or geospatial. AirWorks' AI-powered platform creates automated maps from aerial data, addressing a $100B pain point for the GIS and mapping industry.
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Aetion was listed among Top 10 employers on Fast Company's 100 Best Workplaces for Innovators list CB Insights Digital Health 150 showcases Aetion's work advancing global RWE among some of the most promising private digital health companies in the world Databricks Data Team Award recognizes Aetion's platform analyzing COVID-19 data.
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The Department includes undergraduate majors in Political Science, International Relations and Undergraduate Law, a Paralegal Studies Certificate and Associates Degree Program (for Non-Lawyer Legal Professionals) as well as Master of Arts degrees in Applied Public Policy and Global Public Policy.
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5+ years of experience in in core programming languages and data science packages (Python, Keras, Tensorflow, PyTorch, Pandas, Scikit-learn, Jupyter, etc.) Work cross-functionally with other scientists & data engineers, federal account manager and leadership to help ensure project delivery and success The team SFL Scientific, a Deloitte Business, is a U.S. based, data science consulting firm specializing in machine learning and AI technologies.
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Strong fundamentals in data science and data engineering is key to our vision of the future, and every aspect of our company today is geared towards generating more useful proteomic data.
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Maintain a safe work environment and wear appropriate personal protective equipment Requirements: Bachelor's degree in Biology, Chemistry, Clinical Laboratory Science, Medical Technology or meet local regulatory (CLIA & State) requirements.
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Familiarity with patent prosecution in electrical engineering, software-related technologies, data science/AI, networking technologies, machine learning/artificial intelligence, and hardware security is preferred.
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The team will work closely with Research, Investment Operations, Data Science and Risk across topics such as portfolio construction, rebalancing, collateral management, technology infrastructure and automating processes.
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data science jobs Title: data scientist Company: Valpartum Resources in Boston, KS, Nevada
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