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Analytic Capabilities: Ability to think logically and use quantitative techniques to solve problems such as campaign analysis, optimization, data management, data operations and/or predictive modeling.
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Qualifications Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.
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Master's degree or higher in environmental engineering, environmental science, or related field with strong academic background in aquatic chemistry, limnology, environmental fluid mechanics, or water quality modeling.
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Experience leveraging complex data to drive business decisions, hands on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Pytong, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Possession of a terminal degree in Bioinformatics or analogous field with at least ten years of experience in computational biology, predictive modeling of biological systems, and transcriptomics and integrative multi-omics analysis.
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The Generative AI Systems (Genesis) team within Card Data Science builds state-of-art, generative AI-based solutions for dialogue, text summarization, reading comprehension, speech recognition, image/document processing as well as time-series sequencing modeling.
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O Advanced enterprise planning, integrated business planning, scenario modeling, advanced predictive analytics. Interacts with senior management levels at a client and/or within Accenture, which involves negotiating or influencing on significant matters.
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Title: Consulting Actuary - Health / Predictive Modeling. -Strong interest in building predictive models (R, Python, SQL) For over 30 years, we have served both clients and candidates with specialization in analytics and actuarial science.
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Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.
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Field of Study/Area of Experience: Computer Science or other related discipline. Demonstrated deep Data Modeling knowledge and 10+ years’ experience using Data Modeling tools like Lucidchart (current Advantage Solutions standard), Draw.io, Erwin Data Modeler, ER/Studio, Oracle’s SQL Developer Data Modeler, Toad Data Modeler, PgModeler.
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Quantitative and computational skills (e.g. Computational Biology, Biostatistics/Statistical Genetics, Bioinformatics, Biomedical Informatics, Biometrics, or Data Science for Health) In partnership with Tempus’ modeling lab, use data from CRISPR and cell perturbation experiments in patient-derived organoids to identify and validate novel targets.
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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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Predictive Maintenance Technologies : Familiarity with predictive maintenance technologies, such as vibration analysis, infrared thermography, oil analysis, and ultrasonic testing, is essential.
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The Department of Mathematical Sciences offers undergraduate degrees in Actuarial Science, Data Science, Mathematical Sciences, and Mathematics & Computer Science, and offers graduate degrees in Pure Mathematics, Mathematics Education, Mathematics for Teaching, Applied Mathematics, and Applied Statistics.
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Work on the latest applications of data science to solve business problems in Pharma and Lifescience domain. Fluency with pharma data sources such as Veeva and IQVIA (Plantrak, LAAD, PE, etc) including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
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predictive modeling computer science jobs Title: data scientist senior in Chicago, IL
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Building a candidate pipeline through a great internship program for local college students and recent graduates at local universities is a great and cost-effective way to attract and retain top talent. By offering meaningful and impactful work experiences, regular feedback, coaching, and mentorship, you can create a positive internship experience that will make your organization a sought-after destination for future employees. This not only benefits the organization in the short-term but also in the long-term, as you'll have a pool of well-trained and experienced candidates who may be interested in full-time employment once they graduate. Furthermore, building relationships with local universities and college students can increase brand awareness and build a positive reputation for your organization in the local community.