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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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Sia Partners is looking for a talented Data Engineer to support our activities within the Data Science Business Unit. You will be working alongside with our Data Science consultants and our clients on Data Engineering topics, including creating relevant data models, developing powerful data pipelines, exposing them through various mechanisms including APIs, and using data visualization tools to efficiently present data.
$94,500 - $122,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data Science at W&B is a pillar of the product, business, and culture; as such the Data Science team informs strategy directly, and partners with all parts of the business to build a data-first habit.
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Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
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Knowledge of Dbt, Airflow, Ansible, Argo, or other data pipeline systems; ideally experience building and maintaining a data warehouse. Expert knowledge of data orchestration/data pipeline tools (dbt, dagster, airflow, etc.
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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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Data science, machine learning, optimization models, PhD 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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7+ years of relevant industry experience in positions with a focus on statistics, data science, measurement, marketing strategy & analytics. Master's degree in Statistics, Economics, Data Science, Operations Research, or related field.
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We are looking for a Senior Quantitative Scientist with data science, machine learning, and natural language processing (NLP) expertise that will work closely with clinical structured and unstructured text data derived from electronic health records in support of Verana Qdata® development which enables insight generation.
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Advancing BigHat therapeutic programs through ownership of the entire data science life cycle from experimental design through data analysis and modeling, including implementation of novel antibody design strategies, development of robust data pipelines for assays of antibody function and developability, and data-driven improvements to our statistical and ML models.
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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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As part of the Capgemini Invent team, the Managing Data Scientist/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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Individuals in this role are expected to be recognized experts in identified research areas such as artificial intelligence, machine learning, AI applied to chemistry or material science, computational statistics, and applied mathematics, particularly including areas such as deep learning, graphical models, reinforcement learning, computer perception, natural language processing and data representation.
$117,000 - $173,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Bachelor's or Master's degree in Computer Science or equivalent, with over 12 years of Data Architecture and Data Engineering experience, including team leadership. Our team is responsible for enabling Hims & Hers business (Product, Analytics, Operations, Finance, Data Science, Machine Learning, Customer Experience, and Engineering) by providing a platform with a rich set of data and tools to leverage.
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Understand the needs of data engineering and data science groups and deliver best-in-class solutions for them by leveraging open-source software like DBT and Dagster. Experience with data products (discovery, quality checks, etc) on Google Cloud Platform, Kubernetes, DBT, or Dagster/Airflow.
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data science jobs Title: data architect Company: General Dynamics Information Technology in South San Francisco, CA
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