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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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Analyze and challenge current processes; identify opportunities to simplify, streamline and automate using RPA or Machine Learning tools as a subject matter expert. Highly knowledgeable about architectural patterns, technology components, vendor solutions in the field of RPA and Machine Learning.
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The position aims for candidates with a strong quantitative and computational background with extensive experience in genomics/transcriptomics (analysis of different bulk/single cell/spatial Next Generation sequencing Techniques as well as development of novel methods.
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PhD/MS in computer science, statistics, or computational science, with a focus on machine learning methods, or a PhD in a related field (e.g., computational chemistry or biology) with a strong emphasis in machine learning method development, and 10+ years of relevant experience.
$282,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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The Territory Sales Manager is responsible for the promotion and sales of IDT’s full portfolio of products, including custom oligonucleotide solutions across key application areas such as qPCR, CRISPR, Functional Genomics, Synthetic Biology and Next Generation Sequencing.
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Databricks Machine Learning Associate or Machine Learning Professional Certification. Understanding of advanced machine learning techniques, including graph-based processing, computer vision, natural language processing, and simulation modeling.
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When not working on machine learning models, identify data; define metrics and analyze needs for business partners; initiate, develop and maintain data pipelines and data models that power dashboards and data products with outstanding craftsmanship.
$195,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Technical Expertise : Extensive experience in the complete ML development lifecycle with machine learning frameworks (e.g., TensorFlow, PyTorch and Lightning), statistical modeling, data science, and computational biology tools.
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Standard molecular biology techniques such as nucleic acid isolation, purification and quantitation, bioanalyzer, DNA/RNA quantitation, qPCR or Next Generation Sequencing. Develop and improve robust automated solutions utilizing liquid handlers and other laboratory automation equipment designed to remove bottlenecks, increase capacity and reduce TAT in FMIs high throughput (24/7) Next Generation Sequencing lab.
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The principal Machine Learning Engineer at WGU is both a visionary leader and a hands-on builder. M.S. degree or higher in Computer Science, Software Engineering, Data Science, Machine Learning/Deep Learning, Math, Physics or any related field.
$305,300 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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A university degree in Life Sciences or relevant experience in multi-omics, genomics, next-generation sequencing, or microbiome sectors. Develop a strong understanding of Next Generation Sequencing and bioinformatics to effectively address client needs.
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We are looking for a seasoned Principal / Director Machine Learning Engineer with over 10 years of experience in radar and RF signals, video and image processing, or classification, along with deep expertise in real-time signal processing and embedded systems.
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Knowledge of artificial intelligence and machine learning is preferred. Advanced knowledge of business tools and applications, including MS Office Suite, Visio, Azure DevOps, Salesforce, Copado, and Jira.
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Interest in natural language processing (NLP), chatbot architecture, AI, and machine learning. Collaborating with UX designers, researchers, developers, subject matter experts, natural language processing (NLP) analysts, and business partners.
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We are looking to recruit at least one postdoctoral fellow at an intersection of microfluidics, image-based machine learning, and molecular biology. Candidates with a strong foundation in microfluidics, machine learning, and biology are desired.
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