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You will be an integral part of Data Sciences at PinkDx, building and implementing a machine learning/AI/statistical modeling engine that develops classification models using a comprehensive menu of genomic features generated from next-generation sequencing (NGS) platforms, clinical features, and adjudicated truth labels.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Proficient in advanced data mining and statistical modeling techniques, including Predictive modeling (e.g., binomial and multinomial regression, ANOVA), Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis), Decision Tree techniques (e.g., CART, CHAID.
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We cover a wide area of the data spectrum including analytical data engineering, product analytics, experimentation, causal inference, statistical modeling and machine learning. Conduct comprehensive analyses of marketing campaign performance using advanced statistical methods and causal inference techniques.
$212,780 - $253,430 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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We are looking for a creative, skilled and motivated Research Scientist to join our machine perception team in advancing the state-of-the-art of human understanding, action recognition and statistical text decoding.
$143,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Has experience with traditional, as well as modern Machine Learning/Statistical techniques, including Regression, Classification, Ensemble Methods, Deep Learning. Master’s degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch.
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This role will develop real-time predictive models using machine learning and advanced statistical techniques to analyze and identify key insights and patterns that influence strategic decision making, including optimizing our content recommendation system.
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Key Responsibilities: - Perform statistical analysis - Fine tuning test results - Train and retrain systems - Work on frameworks - Undertaking machine learning experiments and test - Designing machine learning programs.
Full-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Understanding of the drug discovery process and its statistical applications. Explore the application of artificial intelligence (AI) and machine learning (ML) techniques for problem-solving.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Research interests in statistical learning, causal inference, optimization theory, machine learning or a related area. In this role, you will apply machine learning to a variety of domain specific use-cases across Snowflake’s Legal, Sales, Sales Engineering, Alliances, IT, Security, Professional Services & Training.
InternExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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BASIC REQUIREMENT: A Certificate as a Certified Public Accountant (CPA) or a bachelor's or higher degree in accounting that included at least 30 semester hours in accounting or 24 semester hours in accounting and an additional 6 semester hours in related subjects such as business law, economics, statistical/quantitative methods, computerized accounting or financial systems, financial management, or finance.
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Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
$60 an hourExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Our interdisciplinary team, comprising experts in clinical science, data science, statistical genetics, machine learning and drug discovery utilize this platform to determine genetic drivers of disease progression, advance novel therapeutics and define genetics-based patient stratification.
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By developing novel statistical learning methods and applying them to integrate various -omics datasets, Freenome is a leader in modeling specific biological mechanisms to capture disease dependent signatures such as gene expression, immune response, tumor burden, the tissue of origin, and 3D chromatin structure.
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Statistical analysis experience, including but not limited to experimental design, regression modeling, and machine learning using tools such as GCP, Adobe analytics, Python, R, Spark SQL and MLlib for custom analysis, in conjunction with SQL for data query and extraction techniques.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with Biological Datasets: Demonstrated ability in handling complex biological datasets, including consortium and atlas-type data, and applying advanced statistical and machine learning methods to solve real-world problems.
$110,922 - $138,667 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
machine statistical jobs in San Bruno, CA
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