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Experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics, and in deriving insights from such analyses will be advantageous. Advantageous to have experience in complex molecular data integration, such as transcriptomics, proteomics, and metabolomics.
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Familiarity with the modern data science tools such as Pandas, Scikit-Learn, XGBoost, TensorFlow/Keras, MLFlow, Jupyter Notebooks. Use your understanding of Security Data Science, Graph Theory & Machine Learning applications to wrangle our unique cybersecurity data and create analyses and tools that point to the most significant business, governance, and risk management impacts.
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Going beyond the existing plant-based burgers, we are developing alternative meat whole-cuts using innovations in materials science, manufacturing and even tissue engineering. BS, MS, or PhD in chemical engineering, food science, mechanical engineering or 8+ years of a proven track record of developing and scaling up similar processing systems (food processing, textile processing, polymer science.
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Work collaboratively across functions, empathetic with stakeholders (sales & marketing team) and engage partners (technology, data science sales performance and training etc) to drive cohesive vision and execution.
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Qualifications BS/MS in Computer Science, Data Engineering, Mathematics, Statistics, or related field. Job Title: Power BI Developer Local to BOSTON LAST DAY TO SUB PEOPLE IS TOMORROW – 2 OPENINGS Job Description: Primary Responsibilities Design and Develop Power BI Solutions: Design, develop, and maintain Power BI dashboards and reports to visualize data and provide actionable insights.
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Bachelor's degree required in Nutrition or related discipline (e.g. Public Health Nutrition, Dietetics/Nutrition Education, Exercise Physiology, Food and Nutrition, Food Safety, Food Science, Food Service System Management, Hospitality Management, Medical Nutrition Therapy/Human Nutrition, Nutrition Biochemistry/Metabolism, Nutrition Science, Sports Nutrition.
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Develop and apply bioinformatics, computational biology, and machine learning tools to generate insights and hypotheses from high-dimensional molecular datasets, with an initial focus on proteomic data.
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The Discovery Pharmaceutical Science (DPS) group-based Boston, MA is seeking a laboratory contractor. An understanding of preformulation aspects of new chemical entities, ability to generate and interpret preformulation laboratory data including microscopy, solubility, dissolution, DSC, PXRD are preferred.
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Master's degree in chemistry, biotechnology, biology, engineering or related pharmaceutical science and 2+ years relevant cell processing experience (1+ years direct experience working with cell therapy autologous or allogenic programs) in Manufacturing.
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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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Ph. D. in computational chemistry, cheminformatics, computer science or a related field with 5+ years experience in the pharmaceutical industry. Propose technology initiatives and develop tools that improve cheminformatics and workflows for small molecule drug design and analyses of large data sets.
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Assist in consolidation of data, discussions with finance and partnering with stakeholders to meet needs. Event support includes supporting activities such meeting coordination and facilitation, creation of data packs, document collection, cost prep, event calendar tracking and assistance in building presentations for training and marketing of activities.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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Radar Receiver Exciter integration and test engineers are the liaisons between many Radar system components and are responsible for Radar Receiver Exciter data analysis and calibration, integration of hardware with firmware and software, and resolving system level issues that may stem from software or hardware anomalies.
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Data science, computational biology and bioinformatics are a fundamentally important core discipline and integral part of the Translational Discovery group. More specifically, this person will participate the design of genomic studies in preclinical and clinical research, implement cutting-edge informatics and statistical methods and tools to analyze the data including WGS/WES/targeted sequencing, RNAseq, proteomics data, metabolomics data, etc, and perform integrative analysis of genomic data and available clinical data in clinical trials.
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data science jobs Title: assistant prof in Boston, MA
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