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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.
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Bachelor's degree (or foreign education equivalent) in Applied Mathematics, Computer Science, Engineering, Information Technology, Information Systems, Information Management, Mathematics, or a closely related field and five (5) years of experience as a Director, Data Science (or closely related occupation) launching, operating, leading and implementing document processing, computer vision, and Deep Learning (DL) practices using TensorFlow, Keras, MXNET, or H2O.
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Knowledge of DBT, Airflow, Ansible, Terraform, Argo, Helm, or other data pipeline systems; ideally experience building and maintaining a data warehouse and understanding of simple data science workflows and terminology.
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Supervise forward and reverse translation and clinical biomarker data science deliveries by partnering with clinical development and translational science teams. FogPharma is a clinical-stage biopharmaceutical company that seamlessly integrates breakthroughs in bench science and data science to create transformative precision therapeutics for patients suffering from devastating and often fatal diseases such as cancer.
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Proven experience in large-scale data science and/or computational biology. They will have a deep background and track record in data science and programming, with exceptional organization and communication skills.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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The Human-centered AI team in Digital Health Oncology R&D is looking for an Associate Director of Data Science to specialize in the development of novel digital endpoints using data science, statistical learning, and innovative machine learning methods on multi-modal datasets including clinical data, real world evidence, imaging, wearables, and other biomedical data sources to address patient burden.
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These component technologies are used in synergy with quantum information science demonstrations, as well as in standalone applications that include beyond-CMOS circuit technologies, energy-starved sensors, compact optical communication and laser radar transceivers, and microwave photonic signal processing.
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Northeastern has identified health as one of three major University-wide interdisciplinary strategic initiatives, and the University is making a significant investment in interdisciplinary health research with faculty hires in the last few years in data science and visualization (with a health data emphasis), environmental health, global health, health economics, health systems, health policy, personal health informatics, and population health.
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Bachelor’s degree in Computer Science, Information Systems, Business, Accounting, Finance, Data Science, Engineering, or a related field and 5 years of progressive, post-baccalaureate work experience in one or a combination of the following: IT Audit and/or Financial Services.
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A Bachelor’s degree in data engineering, computer science, biomedical informatics, health services research, epidemiology, biostatistics, public health, or a subject area with a strong focus on the management and research use of clinical data.
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Strong grasp of electrochemistry, chemical engineering, and materials science fundamentals. Performing lab experiments including synthesis and materials characterization,operating electrochemical systems, analyzing data, and presenting results.
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Minimum Masters degree in Statistics, Applied Mathematics, Data Science, Engineering, Computer Science, or a closely related field is encouraged. Ability to engage in the data science process, including data exploration, model development and evaluation, training, validation, and deployment.
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Experience with Statistical analysis tools in Python and R as well as data science app development (R shiny/Streamlit). Knowledge of best practices in software engineering for reproducibility and data management skillsAbility to work in and adapt to a fast-paced environment Preferred Qualifications: Experience with protein co-evolution analysisExperience with NGS and bioinformatics toolsExperience with agile methodologies.
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This individual will work cross-functionally with precision medicine, clinical imaging, digital science, data science, and clinical operations leads to implement biomarker research in Phase 1 to 4 clinical trials The successful candidate will have a proven track record of pharmaceutical industry clinical study experience and decision-making to achieve objectives, as well as scientific knowledge of brain function and/or non-soluble biomarker technologies and methodologies.
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data science jobs Title: project manager Company: Accenture Contractor Jobs in Cambridge, MA
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