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A highly motivated individual, the Senior Principal Scientist will focus on strategic development and implementation of novel data science and predictive analytics methodologies to support clinical drug development.
$250ExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Adapt data science algorithms (supervised and unsupervised learning, decision trees, neural networks, AI based image processing and feature extraction, Bayesian learning, etc) for modeling clinical trial data to support drug development.
$250ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Senior Principal Scientist, Data Analytics and Pharmacometric Modeling page is loaded. PhD in Statistical and Data sciences, Computer Science, Pharmaceutical Sciences, Engineering, or related fields with equivalent professional degrees.
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Deliver analytic and data science products – from business intelligence to analytics to predictive modeling – within the health care data domain (e.g., clinical outcomes, clinical quality, cost of care.
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Analyzing and interpreting soil data using advanced statistical and modeling techniques, extracting meaningful patterns and relationships. Master's Degree or PhD in Soil Science, Environmental Science, or a related field with a strong emphasis on soil health, soil carbon sequestration, grazing and rangeland ecology, and sustainable agriculture.
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Implementing data science and statistical tactics such as regression, time series modeling, and other predictive modeling to forecast key business metrics and build alerting to spot areas of risk early.
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Business Intelligence (BI), Database Design, Data Engineering, Data Modeling, Data Science, Data Visualization, Machine Learning, Project Management, Software Development, Stakeholder Relationship Management.
$151,900 - $239,200 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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MS or Ph. D. in data science, computer science, statistics, applied mathematics, engineering, or economics. Your primary focus will be to develop and maintain a robust data architecture to advance our reporting, analytics, and experimentation capabilities, and on a longer term you will use predictive modeling and machine learning methods to allow the broader organization to understand, lead, and optimize our customer experiences.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
$44 an hourInternExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Work and/or educational experience related to clean energy, especially related to topics such as: public policy, regulations, building codes, building energy modeling, building science, incentive programs, demand-side management programs, energy efficiency, distributed energy resources, electrification, space and water heating, electrical infrastructure, and energy equity.
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Expertise in Microsoft Office (Excel - Vlookup) and predictive modeling (Python, R, etc.) Bachelor's degree in Computer Science, Information Technology, Math, Statistics, Economics, Business or other technical degree preferred.
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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$177,000 - $251,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Master’s or Ph. D. in a quantitative field such as computational linguistics, computer science, artificial intelligence, mathematics, cognitive science, or other relevant quantitative field.
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Responsibilities: Maintain and develop in-house endpoint association and modeling/prediction pipeline that use cutting edge machine learning methodologies to develop biomarkers of clinical response and resistance, extend analytical capabilities of biomarker platform Define and implement Bioinformatics strategy and protocol-driven configuration layers of biomarker platform for Company studies Perform pan-study analysis to find biomarkers that are predictive of safety and efficacy endpoints.
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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. Experience working with cross functional teams (Data Science teams a plus.
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predictive modeling computer science jobs Title: data scientist senior Company: Cgi in San Francisco, CA
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