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Director, Data Science. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication , as well as in the insights and analytics necessary to drive growth and improve customer experience.
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Manage and guide AI model developments with LLM, NLP, knowledge graph development, data science, and data engineering elements of AI projects. We are seeking a highly skilled Data Scientist to lead high-profile data science and artificial intelligence projects.
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Data Science Management, Director Data Science, Director of Data Science, Director of Engineering, Senior Director of Data Science, Senior Director Engineering, Manager Data Science, Manager Engineering, Artificial Intelligence Management.
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A strong background in statistics, biostatistics, computer science and/or computational biology is required; and specifically, experience with analyzing high-dimensional datasets, such as whole-genome sequencing, multi-omics data, and electronic health records, is preferred.
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As a Signal Processing Engineer at WHOOP, you will be part of a cross-functional team comprised of DSP, Soft Goods, WHOOP Labs, Firmware, and Data Science. Collaborate closely with Data Science and Research teams to enhance user metrics by developing innovative and creative algorithms.
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College Areas of Research Excellence include psychoacoustics, neuroscience, understanding the mechanisms underlying speech, voice and language disorders, neurological disorders, neuro-rehabilitation, neuro-habilitation, pediatric rehabilitation, musculoskeletal health, mental health and well-being, public health, nutrition, health equity, and integrated health technology and data sciences.
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Advanced knowledge of math, statistics, multivariate analysis, statistical tests Advanced Python coding skills Experience with one or more machine learning frameworks such as TensorFlow and/or PyTorch Understanding of numerical implementations Understanding of cloud computing Knowledge of data querying knowledge of EMG, EEG, ECG, IMU, CV algorithms Experience with C.
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Extensive experience with machine learning, data science, integration and analysis of NGS data. This role requires expertise related to machine learning, multi-omics data analysis & integration, database design, next-generation sequencing (NGS) data and a background with protein-based drug modalities.
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Design and build petabyte scale systems for high availability, high throughput, data consistency, security, and end user privacy, defining our next generation of data analytics toolingWork alongside the global cybersecurity architecture & engineering leadership to develop and deliver capabilities to support Cyber Data Science initiatives both internally and in partnership with detection and response teams, and governance and risk management teams across our CISO organization.
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Our investment ecosystem and scale allow alternative investors to partner with world class investment research experts across fundamental equity, credit, fiscal/monetary economics, derivatives, rates, risk, data science, climate, sustainability, and many others.
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Master’s degree in Bioinformatics, Computational Biology, Biostatistics, Data Science, or related field with 3-5 years’ experience working directly with metabolomics and other -omics data.
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This entails designing and implementing a sophisticated data governance framework spanning across capabilities and tools such as data quality checks, defining/tracking KPI’s, data lineage and data structure and organization (e.g. organized data hierarchies, well-maintained data dictionary and report catalogue, as well as data and report certification.
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Contribute to an innovative culture that strives for out-of-the-box thinking and creative approaches on analytical solutions beyond traditional models in the area of data science artificial intelligence, machine learning methods, algorithms/model development, validation and tools to drive impactful business decisions.
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Works with Laboratory Supervisor and technician to schedule daily assignment pertinent to clinical study related protocols, provides backup-support during absence of technician and data manager (keying reports, etc.
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As a BIM Coordinator, you will be part of a designated team that covers all industry sectors across the company including Mission Critical Data Centers, Healthcare, Science & Technology.
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data science jobs Company: Kpmg in Boston, WA, Canada
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