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3+ Experience in statistics, NLP, AI, and Machine Learning applications. The Healthcare Data Scientist will be responsible for translating and summarizing our business activities for our internal and external stakeholders using statistical, data science, and analytical methods.
$140,000 - $145,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Typical role includes working on a wide range of activities such as working with complex structured and unstructured datasets, developing/recommending novel machine learning tools, data visualizations, automation of analytics workflows, disease progression models, mechanistic and empirical PK/PD models, clinical trial simulations, literature meta-analysis using quantitative approaches and statistical modeling of historical and preclinical data.
Starting at $250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Lead the development of heuristics, machine learning and statistical models tailored to identify patterns and anomalies associated with cryptocurrency fraud and financial crime. We provide a blockchain intelligence platform to law enforcement, financial institutions, and crypto firms to assist in the detection and prevention of cryptocurrency fraud and financial crime.
$200ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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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. Demonstrated fluency and competency with statistical programming with the R programming language or the Python programming language.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Has advanced understanding, and can apply knowledge of, complex mathematical techniques (but not limited to): statistical outlier methods, logistic regression, natural language processing (NLP), and various machine learning methods (e.g., random forest, XGBoost, etc.
$116,280 - $150,480 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch). Experience in statistical programming language (e.g., Python), applied machine learning techniques, and using OSS frameworks (e.g., TensorFlow, PyTorch.
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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.
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Build and deploy machine learning and statistical models such as Customer Lifetime Value, Lead Scoring, Segmentation, and time-series forecasting end to end through scoping, researching, prototyping, and productionizing with tools such as Git, Sagemaker, and Airflow.
ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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The LGR is in search of a motivated computational biologist/bioinformatician, who will use their skills as a seasoned, experienced bioinformatics programming professional with a broad understanding of computational algorithms and systems to apply computational and statistical methods to analyze and interpret data obtained from the next generation of functional genomics screens.
$200Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Demonstrating a thorough level of knowledge in statistical modeling, algorithms, data mining, and machine learning algorithms problem solving.
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Experience using statistical analysis and computing, machine learning, deep learning, processing large data sets, data visualization, data wrangling, mathematics, and programming. Specialized experience for this position includes: Experience applying analytic approaches, including (but not limited to) machine learning, text analytics, and natural language processing; graph theory; link analysis and optimization models; complex adaptive systems; and/or deep learning neural networks that are part of the study.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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In this role, you will develop solutions and execute complex initiatives that leverage real-world data (e.g., electronic medical records, biomedical imaging, time-series data, surveys/questionnaires, and text notes) to address challenging computational problems alongside partner scientists in epidemiology, statistical genetics, computational biology, and machine learning.
$250ExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Experience with deep learning libraries (e.g. PyTorch, Jax, Tensorflow) and platforms, multi-GPU training, and statistical analyses of observational and experimental data. Whether it's holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
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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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Expertise in Data Science, statistical modeling, and machine learning. Pave is working with 5,500+ companies today, including some of the best technology logos out there like Credit Karma, RO, Faire, Dropbox, Airtable, Sweetgreen, Checkr, Hubspot, Snackpass, Attentive and more.
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machine statistical jobs in Daly City, CA
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