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Lead team focused on new technologies such as process automation, complex predictive modeling, artificial intelligence, machine learning and computer vision to improve how we do business.
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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.
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Master’s or PhD degree required, with preferred education/experience in Biology, Biomedical Informatics, Biomedical Engineering, Computational Biology, Computer Science, Data Science, AI/ML, or related fields.
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Qualifications PhD in Machine Learning, Computational Biology, Statistics, Computer Science, Mathematics or a related field. CPB is an exciting and fast-paced engineering center combining predictive computational modeling, machine learning, and experimental biology to develop medical countermeasures.
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Master or PhD degree from a quantitative field (Mathematics, Physics, Computer Science, Econometrics, Statistics, Economics, Finance, etc.) 2+ years of experience in quantitative financial modeling.
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MS, or PhD in Computer Science, Computational Mathematics, Applied Mathematics, Engineering, Data Science, Statistics or equivalent. Ability to ingest, blend, and transform data for modeling inputs including exposure to data storage, ETL, and manipulation tools.
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Knowledge of statistical sampling, optimization, machine learning, predictive modeling, and artificial intelligence techniques. Masters or Bachelors degree in quantitative field such as Data Science, Economics, Engineering, Finance, Statistics, Mathematics or Physics.
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Masters degree in Systems Engineering or in related technical or scientific fields such as engineering, physics, mathematics, operations research, engineering management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
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Superior modeling and analytical skills applying predictive modeling techniques from finance, statistics, mathematics, data science, and computer programming to large data sets.
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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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Comprehensive technical expertise and a research track record in one or more of the following domains: artificial intelligence/machine learning; advanced cybersecurity methods and technologies; computer science and engineering; software engineering; modeling and simulation; model-based systems engineering; and/or computational science and engineering.
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Analytical needs can include: data aggregation / creation, data cleaning / manipulation, commercial data science (e.g., geospatial, machine learning, predictive modelling, NLP, GenAI etc.
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Eon is looking to hire a Senior Data Scientist with experience in NLP and predictive modeling in the Healthcare domain. Graduate degree (or equivalent experience) in Computer Science, Machine Learning or other quantitative field.
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Preferred Qualifications: PhD degree with 4+ years experience in computer science, computational biology, bioinformatics, biomedical informatics, genetics, statistics or related fields with a strong publication record.
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predictive modeling computer science jobs Title: data senior Company: Cgi
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