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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 Today - UpvoteDownvoteShare Job
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PhD, ScD or DrPH in epidemiology, public health, biostatistics, health policy, data science/informatics, or a closely related field (MD with at least a master's degree in these disciplines may be considered.
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The Verantos Evidence Platform leverages data science and artificial intelligence (AI) along with advanced data sources such as electronic health records (EHR) to generate RWE capable of supporting complex clinical studies in areas such as market access, HEOR, medical affairs, and regulatory engagement.
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Collaborate with cross-functional teams, including Design, Engineering, Product Marketing, and Data Science, to execute the product strategy. Analytical skills: You have a great ability to absorb and apply data to your decision making.
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Evaluation of innovative trial designs Protocol and ICF development Site-facing activities CRA training materials Data quality activities; ensure consistent, quality data review across trial teams Investigator Meetings, SIVs, Advisory Board, and Study committee (e.g., DMC) activities Clinical contributions to clinical study reports (CSRs) and clinical portions of Regulatory Documents (e.g., IB, DSUR, regulatory responses.
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Typically requires 10 or more years of experience in data engineering, data science, and software engineering. Experience with Databricks, Alteryx, Data integration, Data Masking tools, Access Management and Data Governance tools.
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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, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch.
$143,000 - $286,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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A doctorate in epidemiology, biostatistics, public health, medicine, health policy, bioinformatics, data science, informatics, or a closely related field; Our department has primary responsibility within UCSF for delivering training in the methods of epidemiology, biostatistics, health data science, public health, and health services research.
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The Advanced Analytics team at BeiGene is seeking an Associate Director, Data Science with a passion for crafting and implementing predictive modeling and statistical analyses to develop comprehensive solutions and insights that directly impact patient lives and propel BeiGene's growth as a data-driven organization.
$143,900 - $193,900 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Existing collaborations within CZ Biohub: Technology Platforms (Bioengineering, Computational Microscopy, Data Science, Genomic Sequencing, Mass Spectrometry/Proteomics), and Research Group Leaders.
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2+ years of hands-on Data Science or ML Engineering experience OR a PhD. Udemy is looking for a data scientist to join a team largely focused on exploring and building novel applications of generative AI to improve the teaching and learning experience.
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Experience using one or more relevant data science programming languages such as, R, Python, SQL, MATLAB; the use of an integrated development environment (IDE) such as, RStudio. Experience in the use of relevant data science programming languages such as, R, Python, SQL, MATLAB, and experience using an integrated development environment (IDE) such as, RStudio.
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Evaluates ancillary testing activities to assess ongoing day-to-day compliance with established protocols and guidelines identifying, defining and resolving issues associated with complex aspects of the data and problems associated with unique aspects of the ancillary testing management program.
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Preferred Majors/Disciplines: Biology, Biochemistry, Biomedical Engineering, Biomedical Science, Cell Biology, Chemistry, Chemical Engineering, Data Science/Bioinformatics, Microbiology, Pharmaceutical Sciences, Pharmacology, Toxicology or other related disciplines.
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Product DevelopmentDrive the development of innovative and industry-leading invoicing, virtual terminal and all payment products across desktop, mobile, and native platformsCollaborate with cross-functional teams, including Design, Engineering, Product Marketing, and Data Science, to execute the product strategy.
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data science jobs Title: management trainee in South San Francisco, CA
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