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Extensive experience with data mining, text mining, systems biology and network analysisExcellent programming knowledge and experience with cloud computing and command line expertise in R, SQL, Perl, Python and proficiency in Linux environment.
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Expanding, scaling, and standardizing the core foundational principles through consistent observability, lineage, data quality, logging, and alerting across all engineering teams in the Data organization is imperative to the creation of a single pane of glass.
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Knowledge of Power BI, SQL, Python, R, DAX, Databricks, Power BI Paginated Report Builder, and DevOps. Master’s degree (or foreign equivalent) in engineering, computer science, mathematics, statistics, or related technical field; plus 3 years of experience in job offered or asset operations analysis in renewable energy industry.
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6+ years of industry experience in drug R&D in pharma/biotech or life science-related industries with past experience involving both technical and strategic leadership High proficiency in developing and/or implementing AI/ML models in Python and R, particularly generative protein design, knowledge graphs and semantic modeling and inference, supervised/unsupervised learning, and LLMs. Experience with ML frameworks for deep learning (, tensorflow, keras, MXNet) & cloud platforms.
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The Cancer Center partners with the Tufts Clinical and Translational Sciences Institute, the Tufts University School of Medicine, the Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy, the Tufts University Graduate School of Biomedical Sciences, and numerous other graduate schools across Tufts University to revolutionize health education and inspire discovery.
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Solid software development skills including experience in R, Python and SQL. Knowledge of Database design and query optimization a plus. Full stack software engineering experience, with proven experience in data visualization modules or frameworks like Python Dash and R Shiny.
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A Ph. D. in Neuroscience, Psychology, Cognitive Science, or a related field with a strong emphasis on fMRI research is required. + Establish and maintain a robust data management system, including data preprocessing and quality control and perform advanced neuroimaging data analysis using software packages (e.g., FSL, SPM, CONN toolbox, or similar.
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The Department of Data Science at the Dana-Farber Cancer Institute is conducting a search for Computational Biologists. The Department of Data Science at Dana-Farber Cancer Institute is aimed at driving cancer research through innovation and collaboration in the quantitative sciences.
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Demonstrated proficiency with data science languages (R, Python, SQL, Julia, SAS) and visualization tools (Tableau, Spotfire, SAS, JMP, RShiny) Knowledge of and experience with medical terminology, controlled terminology, clinical data standards is a plus.
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Leverage a broad stack of technologies — Python, AWS, Pyspark, Nvidia Rapids / Merlin / Triton, and more — to reveal the insights hidden within huge volumes of numeric and textual data.
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Preferred Qualifications: If you have the following characteristics, it would be a plus: Developing and deploying applications in a cloud environment like Google Cloud (preferred), AWS, Azure Experience in an open-source web framework preferably implemented in JS, TypeScript, Python, Java, Scala, or similar.
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The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step- change in our ability to leverage data, knowledge, and prediction to find new medicines.
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Job Schedulers – Airflow, Oozie or other ETL Scheduler Data Analytics – AWS Cloud Native Services Big data architecture – Python, Scala, Hadoop Bigdata, Hive, Pyspark etc. Do you have a background in cloud architecture, digital transformation and data & technology standards.
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The Massachusetts General Hospital (MGH) Corrigan Minehan Heart Center and Cardiovascular Research Center is seeking a highly motivated individual with expertise in Data Science and Machine Learning to work on multiple clinical and translational research projects focused on cardiovascular disease.
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Knoledge in Databricks, PowerBI, programing languages including SQL, Python and PySpark, data principles including data pipeline, streaming data, data storage, ETL, data integration, database design Leadership (Vision, strategy and business alignment, people management, communication, influencing others, managing change.
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big data science a plus r python jobs Company: Smx in Cambridge, MA
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