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Experience with machine learning, predictive analytics and data visualization methods is highly desirable. The Department of Radiology and Biomedical Imaging at UCSF is seeking a postdoctoral fellow interested in quantitative imaging and data science with application to breast cancer diagnosis and treatment.
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Data science leader with 15-years of experience, who has scaled several data teams and built dozens of machine learning products from zero across multiple problems domains.
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We have multiple ongoing research studies leveraging our proprietary real-world data, including an even larger ketamine analysis leveraging machine learning to predict treatment outcomes.
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You will collaborate with Data Scientists, Machine Learning Engineers, and Product Engineers to understand our business through data and analytics. Our platform is an essential piece of the daily work for machine learning engineers, from academic research institutions like FAIR and UC Berkeley to massive enterprise teams including iRobot, OpenAI, Toyota Research Institute, Samsung, NVIDIA, Salesforce, Blue Cross Blue Shield, Lyft, and more.
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Apply computer analysis and simulation programs to interpret experimental data and characterize material surfaces. Experience in chemometrics and spectroscopic data analysis. The Research Scientist is expected to apply cutting-edge analytical chemistry concepts in the development of ultrasensitive chemical analysis techniques.
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Bachelor's or Masters degree in Computer Science, Data Science, Machine Learning, Statistics, or a related field (or equivalent practical experience.
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A graduate degree in statistics, data science, or similar STEM field with 6-8+ years of experience in a relevant role. A bachelor degree in statistics, data science, or similar STEM field with 12+ years of experience in a relevant role OR.
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MS in computer science or data science (or related field); PhD in NLP preferred. The Senior Machine Learning Engineer will build and deploy NLP models, including LLMs, to understand patient-doctor conversations, identify relevant medical terminology and phrases.
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Application of Data Science in Marketing: Apply data science techniques to complex marketing problems including customer segmentation, predictive modeling, pricing strategy, customer experience enhancement, and more.
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A master's degree with 3 years of experience or a PhD with 1 year of post-graduate experience in a related field such as molecular biology, biochemistry, genetics, genomics, or chemistry. Plan and execute experiments, analyze data, and use findings to enhance NGS products and applications.
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Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights both internally & externally. Work with sales and company leadership to understand the necessary data characteristics to create a 360 degree view of our customers in Salesforce and then execute on that vision.
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Stay current with the latest research to advance organizational knowledge in computer graphics, machine learning and related technologies. 2+ years of experience applying machine learning to 3D content generation, including development related to computer vision, surface reconstruction and related concepts.
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Our Data Science team works on specialized engagements involving data acquisition, data visualization, and machine learning models built upon a plethora of data from sensors, cutting-edge hardware prototypes and experimental devices.
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Experience with Machine Learning / AI techniques used for molecular modeling to accelerate molecular simulations and infer structural features using high-performance computing environments.
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Help design core data platforms to allow the building of bioinformatics pipelines, machine learning models, data science applications and custom applications and dashboards.
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machine learning computer science data scientist masters degree jobs Title: data scientist in San Francisco, NY, Minnesota
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