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This Sr. Engineer role supports our next-generation biosensor product design and development, focusing on clinical data analyses and sensor algorithm verification and improvement. Analyze unstructured and/or structured biological data from biosensor clinical trials and evaluate biosensors performance to support product designs.
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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar. The Pirruccello lab is also part of the Bakar Computational Health Sciences Institute and the Institute for Human Genetics at UCSF, and the Data Scientist will be part of the larger computational community and infrastructure.
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Sia Partners is looking for a talented Senior Data Scientist to support our activities within the Data Science Business Unit. You will be working alongside our Data Science consultants and our clients on Data Science topics, including data acquisition and exploration, creating relevant data models and presenting results to stakeholders.
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BS, MS, or PhD in Computer Science, Information Systems, or a related field, with 15+ years of experience in data engineering, data science, or a similar role. Provide technical leadership, mentoring, and guidance to team members, establishing and enforcing best practices in data engineering and data science.
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Draft and prosecute patent applications in the fields of electrical engineering, software-related technologies, data science/AI, networking technologies, and machine learning/artificial intelligence.
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Solid understanding of data engineering concepts, including data modeling, data processing pipelines, and big data technologies (e.g., Hadoop, Spark, Kafka). Experience working with relational and NoSQL databases, as well as cloud-based data storage solutions (e.g., AWS S3, Google Cloud Storage, Azure Blob Storage.
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Advanced degree (Master's or PhD) in Data Science, Machine Learning, Statistics, Computer Science, or related fields. If you are a driven, detail-oriented data scientist with experience in model risk management (OCC standards), who thrives on building and deploying complex machine learning models at scale, we'd love to hear from you.
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Implement Common Core State Standards-aligned and Science of Reading-aligned curriculum and lessons that build and integrate rigorous and student-centered learning experiences in English in partnership with Mandarin Chinese co-teacher leading other subjects (i.e. Chinese language arts, mathematics, social science, science.
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Bachelor’s Degree in Computer Science, Data Engineering, Mathematics, or related field, or equivalent industry experience. Experience utilizing both qualitative analysis and quantitative analysis techniques and familiarity with common data science models and approaches to problem solving.
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Bachelor's Degree in Computer Science, Data Analytics, Information Systems, etc. 8+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift. During a typical day, the Engineer will spend time developing new features to analyze data, develop solutions and load tested data sets into the Snowflake Enterprise Data Warehouse.
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Requires an MPH, MBA, MS, MA, RN, or RHIA in health science, quantitative social science, public health, health services research or business, or BA/BS with demonstrated equivalent work experience.
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Bachelor's or Master’s degree in Data Science, Statistics, Applied Math, or Computer Science, along with equivalent practical experience in Applied Data, Data Engineering, and or Data Science.
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2+ years of experience working with cloud service providers (AWS Azure GCP) and corresponding cloud-native security services Data security/protection conceptual knowledge and experience in implementation of data security capabilities such as encryption tokenization data masking RBAC ABAC auditing & monitoring in any of the industry leading tools such as Immuta Protegrity Microfocus Voltage Vormetric Imperva SecuPi Privacera Thales etc.
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Data Science | Machine Learning | Statistics | Mathematics | Health-tech | Electronics | Wellbeing | Applied Science | Generative AI | Artificial Intelligence | Multimodal | Speech | Audio | Text Extraction | Stakeholder Management | Technical Leadership | Natural Language Processing | NLP | Computational Linguistics.
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Master's degree in civil engineering or environmental science with an emphasis on aquatic ecosystems restoration, hydraulics, and/or geomorphology. We are Herrera, a science, planning, and design consulting firm dedicated to working with clients to develop holistic solutions that provide social and environmental benefit.
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data science jobs Company: Diverse Lynx in Oakland, CA
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