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This commitment is brought to life in the Institute for Data Science in Oncology (IDSO), a flagship program designed to reshape patient experiences and fast-track scientific breakthroughs via data-driven cancer care methodologies.
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Led by Prof. Bissan Al-Lazikani, Director of Therapeutics Data Science, the intelligent and ever-learning A3D3a platform is part of the new initiative in Therapeutics Data Science and part of our ambitious Institute for Data Science in Oncology at MD Anderson.
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A master’s degree or PhD in Computer Science, Statistics, Applied Mathematics, or a related field, with at least 5 – 7 years’ experience in data science or a similar role. The Lead Data Scientist at The Friedkin Group (TFG) will spearhead the design, development, implementation and maintenance and improvement of advanced data science initiatives across business units, directly aligning with strategic objectives.
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This policy affects all employees, residents, fellows, students, contractors, new hires, visiting scholars program participants, adjunct faculty, and volunteers who work, train, or collaborate at the John S. Dunn Behavioral Science Center.
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A PhD (or equivalent experience) from Mechanical Engineering, Aerospace Engineering, Computer Science, Chemical Engineering, or Electrical Engineering with a focus on Control Theory and Applications, Robotics, Mechatronics, Machine Learning, or Data Analytics.
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Common data science tools such as Python, R, Pytorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, SageMaker, DataBricks, DataRobot and H2O.ai.
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Our team is dedicated to identifying and interpreting genetic signal at the scale of thousands of phenotypes and millions of individuals, making the knowledge gleaned from genetics accessible to AbbVie's R&D community, and using data science and machine learning to maximize the value genetics brings to AbbVie.
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Education Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Statistics, Computer Science, Computational Biology, or related field.
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Required: Bachelor's degree in Biomedical Engineering, Electrical Engineering, Computer Engineering, Physics, Applied Mathematics, Science, Engineering, Computer Science, Statistics, Computational Biology, or related field.
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Strong knowledge, experience, and fluency in a wide variety of tools including Python with data science and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), Spark, SQL; familiarity with Alteryx and Tableau preferred.
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Participate in establishing a Technology Architecture roadmap and vision covering assets such as Azure Data Lake, MDM, Enterprise Data Warehouse, Self-Service Data Science Platforms.
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The primary purpose of the Associate Data Scientist is to work as a computational scientist in the laboratory of Dr Kunal Rai, in Genomic Medicine Department at The University of Texas MD Anderson Cancer Center, Houston, Texas.
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The Global Manufacturing Excellence organization will be the center of excellence in Global Manufacturing under Downstream business line within This Company for Digital transformation, Artificial Intelligence technologies and data science.
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Work closely with data scientists, data engineers and devops engineers in the Data Science and Engineering Team. Knowledge Skills and Abilities, Key Responsibilities: Experience working as a data scientist, quant, research analyst, or trader in a commodity trading environment.
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As part of the Data Analytics team, the Lead Data Scientist will work closely with the Data Engineering team and business functions to solve real-world oil and gas midstream problems using machine learning, data science algorithms and artificial intelligence.
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data science jobs Title: data in Houston, TX
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