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We are seeking a Vice President, Data Science to join the Fidelity Digital Asset Management business and report directly to the Head of Digital Asset Operational Capabilities. The Data Science team is a highly collaborative group leading technical projects across the FDAM organization to enable effective management of investment products and services.
$124,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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By your actions, improve data quality and outcome for the data engineering, analytics and data science users and producers of data. Bachelor’s degree in Computer Science with focus on data engineering preferable.
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Develop and deploy both classical data science and cutting-edge ML methods to analyze data from diverse ‘omic modalities, including transcriptomic and imaging data, addressing challenges such as distribution shift, experimental artifacts, data sparsity, and more.
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Relevant PhD and 10+ years of experience or Masters Degree and 12+ years of experience combining technical expertise in bioinformatics, computational biology or data science and in applying informatics to drug discovery, with an outstanding track record of impactful delivery in pharma R&D.
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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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The Algorithms, Machine Learning, & Data Science Group within AES Advanced Tech Team creates advanced algorithms in the fields of machine learning, artificial intelligence, signal processing, intelligent control, and other areas of electrical engineering and computer science that are of strategic interest to the AES Business Unit’s goals and roadmaps.
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3+ years of experience in data science, with a focus on real-world evidence or epidemiology. PhD or Master’s degree in Data Science, Epidemiology, Biostatistics, Public Health, or a related field.
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Proficiency in statistical software packages (e.g., SPSS, SAS, R) and data management tools. GSK is a global biopharma leader with new ambitions and new purpose: to unite science, technology and talent to get ahead of disease together.
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Advanced degree (Masters with 4+ years of experience or PhD) or Bachelor’s degree with 6+ years of experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields.
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Performs high quality DNA and RNA sequencing data generation in a timely fashion to support all R/D programs that need to take NGS approach to address biological and medical questions. Bachelors or Masters degree in Biomedical Science or Life Science.
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Knowledge of neuroscience, psychology, cognitive science and/or neuroimaging would be helpful. The software engineer will work in a general office environment alongside MGH/Harvard/MIT faculty, postdoctoral fellows, data analysts, research technicians, and students.
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Qualifications MINIMUM JOB QUALIFICATIONS: Bachelor’s degree required with 3-5 years of data and project management and frontline solicitation experience required, preferably in a Philanthropy setting.
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Implement sensor fusion techniques to integrate data from multiple sensors such as GNSS, IMU, LIDAR, radar, sonar and cameras to enhance the accuracy and robustness of vehicle navigation where applicable.
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2+ years of graduate level experience in data science, bioinformatics, biostatistics, epidemiology, immunology, public health, or related fields. Experience supporting data science teams in model building and validation.
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Act as an Imaging and data science subject matter expert, to help commodify AI and data analytics expertise and assets into impactful analysis workflows and software products, and to help make our research data FAIR.
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data science jobs Title: project manager Company: Nike Inc in Newton Center, MA
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