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Currently pursuing Master’s, or PhD degree in Statistics, Biostatistics, Data Science, Computer Science, Electrical Engineering, Computational Biology, Biomedical Informatics, or related quantitative discipline.
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As a Data Science Senior Manager, you will have end-to-end ownership of custom models, algorithms, and other data products that feed directly into TRM’s UX. In collaboration with a highly skilled team of engineers, data scientists, and research scientists, your goal will be to uncover valuable and defensible information that can be used to detect, prevent, and mitigate cryptocurrency fraud and financial crime.
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We're building the world's most advanced healthcare platform from the ground up, combining hardware, software and doctors under one roof.
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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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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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As part of the Capgemini Invent team, the Data Science Senior Manager will support our business by performing strategic and tactical analyses to derive insights, trends, conclusions, and actionable recommendations leveraging various data sources such as longitudinal clinical and claims, healthcare provider interaction, social determinants of health (SDOH), wearables/IoT data, weather, and other exogenous data sources.
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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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This role will coordinate with our hardware team to improve data collection from our novel spectral soil probe for building machine learning models, will partner with our soil science team to collect and analyze soil and geospatial data sets, and will collaborate with our business development team to accurately and effectively communicate soil carbon results to our customers.
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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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We are looking for a Senior Manager within the Data and Science Department with experience interfacing with life science companies to support a variety of teams, such as HEOR and medical affairs, by providing analytic solutions that generate evidence across different use cases that span the clinical development cycle.
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They have some of the foundational elements in place for a modern data stack (Redshift, dbt, Segment, Kubernetes, Docker, Airbyte, Mode) and an active data science practice. They are looking to invest in ensuring that the core infrastructure (on which all of their research depends) is scalable, tested, robust, and able to evolve to meet their constantly changing data science needs.
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Our work combines genomics, proteomics and state-of-the-art imaging technologies with software engineering, machine learning and data science. The candidate will work in a team-science environment collaborating closely with experts in genomics and cell biology as well as software engineers and other data scientists in the team.
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The Manager of Data Science and Analytics role will report to the Chief Technology Officer and be responsible for leading a team of data analysts and scientists. Experience in designing and executing data science roadmaps, successfully delivering high-impact analytics and insights.
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Partner with our soil science group to collect and evaluate data about soil samples, soil organic carbon, and geospatial data. This is a dream job for someone who loves working with data, is curious about soil science, and wants to join a growing startup with literal planetary-scale impact.
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Bachelor’s or Master’s degree in quantitative sciences (Biostatistics/Statistics, Data Science, Bioinformatics, Epidemiology, Health Economics). Continue to develop expertise in real-world data and the statistical methodologies used to generate real-world evidence; use your expertise to inform new research directions and/or collaborations.
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data science jobs Title: consultant Company: Sirius Computer Solutions in San Francisco, CA
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