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Because of our investments in public cloud infrastructure and machine learning platforms, we are now uniquely positioned to harness the power of AI. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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We help translate science into success for rare disease patients with a targeted, patient-centric approach over a wide geographic area. You are a strong SAS programmer, experienced in supporting the analysis of clinical trial data.
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At Bristol Myers Squibb, we are inspired by a single vision - transforming patients' lives through science. Manages clinical biomarker data delivery and analysis and associated timelines by working with relevant internal functions and CROs.
$159,000 - $200,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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BS/MS/PHD in Pharmaceutical Science, Chemistry, materials science, bioengineering, or related science; Prior professional experience in pharmaceutical sciences highly preferred. BS/MS/PHD in Pharmaceutical Science, Chemistry, materials science, bioengineering, or related science; Prior professional experience in pharmaceutical sciences highly preferred.
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Curriculum Developer will design and develop innovative learning solutions, applying adult learning principles and systematic instructional design to create content that fits the needs of the learner; This is across online, classroom, virtual instructor-led training, and blended learning environments.
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Our automation is driven by custom and open source machine learning models, lots of data and built with Python, Metaflow, HuggingFace , PyTorch, TensorFlow, and Pandas. Our engineering department consists of 200+ people across multiple teams, such as application development, infrastructure, data platform, machine learning, and security.
$200,000 - $260,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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BOM - Bill of Materials tracking: given the nature of NPI programs, you will be the key point of contact and source of truths for all sourcing/purchasing activities involving mechanical parts. This range represents SPAN’s good faith estimate of competitively-priced salary for the role based on national, real-time industry data from companies of a similar growth stage.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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San Francisco, California (Hybrid On-Site): $174,900 - $199,700 for Senior Machine Learning Engineer. New York City (Hybrid On-Site): $165,100 - $188,500 for Senior Machine Learning Engineer.
$199,700 a yearFull-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Including two-thirds of high school students and half of all college students in the US. Combining cognitive science and machine learning, Quizlet guides students through adaptive study activities to confidently reach their learning goals.
$95,000 - $140,000 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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By applying advanced machine learning techniques to recent breakthroughs in genomic science, Freenome is developing simple blood tests to detect early-stage cancer and make treatments more effective.
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Required Skills & Experience 3+ years of Data Engineering experience Software development background SQL NoSQL Database experience Python AWS (EMR, RDS, Redshift, Kinesis) Hadoop or Spark Desired Skills & Experience Masters degree or higher in Computer Science or related field.
$145,000 - $175,000Full-timeRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The candidate should have subject matter expertise in designing and implementing machine learning pipelines including a deep understanding of core ML frameworks such as PyTorch, TensorFlow or Scikit-learn and 3rd party ML platforms from Palantir, Dataiku, DataRobot, Alteryx and other vendors.
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E.g. Alteryx, PowerBi, Tableau, Snaplogic and RPA technologies (UiPath, Automation Anywhere, PowerAutomate, etc), and machine learning/Artificial Intelligence. Demonstrate knowledge of technologies that support collaboration, automation and data-driven story-telling including: Microsoft Products (Teams, PowerBI, MS Office), G-Suite (Google), and business intelligence tools.
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Contribute to the development and maintenance of our open-source Weave integrations. Help build and maintain our open source Weave integrations. Starting with our first experiment tracking product, we have since expanded our solution into a comprehensive AI developer platform for organizations focused on building their own deep learning models and generative AI applications.
$182,000 - $248,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Demonstrated extensive experience in flow cytometry (instrument setup and QC, troubleshooting, tissue processing and cell isolation, cell staining for surface markers, cytokines, and transcription factors, acquisition and data handling, multiparameter analysis in FlowJo, proliferation analysis) is required.
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learning source big data science jobs Company: Walmart in San Francisco, CA
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