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The primary objective of the Data Organization is to harness healthcare data to support and promote value-based care contracts between health systems, providers, health plans, and other third-party risk bearing entities; incentivize quality, utilization, and experience outcomes; and enhance payment operations with both services and product development.
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Define company data assets (data model), spark, sparkSQL and hiveSQL jobs to populate data modelsCollaborate with cross-functional teams, including Marketing, Data Science, and IT , to understand data requirements and design efficient data pipelines for marketing data integration.
ExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Quant UXRs vary in background using skills from computer science, quantitative social science, econometrics, data science, survey research, psychology, human-computer interaction, and other fields.
$139,000 - $208,000 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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BS in Computer Science, Engineering, Statistics, Mathematics, or a related quantitative field and 4+ yrs of experience as a Marketing/Product Analyst, Data Analyst, Data Scientist, BI Engineer, Analytics Engineer, or similar role.
$144,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Experience with end-to-end data and algorithm pipeline and DAG development as well as orchestration tools such as Snowflake, DBT, Git, Airflow, Data Science IDEs, etc. The Senior Analytics Engineer is responsible for integrating data into the Enterprise Data Warehouse (EDW) from various internal and SaaS sources using a cloud ELT platform, AWS Lambda/Glue, and Python to support downstream teams with reporting (Snowflake, Databricks or Redshift.
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The Senior Medical Science Liaison has the primary responsibility of building key opinion leader (KOL) partnerships by engaging in the exchange of scientific data and other medical and/or scientific information with external stakeholders (HCPs, researchers, professional organization leadership, patient advocacy groups, and formulary decision-makers) in the assigned Therapeutic Areas (TAs)-Respiratory (COPD/Asthma) across the aligned geography.
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For this role, Cadmus seeks candidates with professional experience in program evaluation, social science research methods, and/or energy efficiency or sustainability. Proficiency using data analysis software (e.g., SAS, SPSS, R, Python, DeDoose, NVivo, ArcGIS, etc.
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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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We are looking for a Principal Software Architect with experience in data-centric Internet systems, machine learning, cognitive science, AI, monolithic and microservices architectures, modern data architectures, reliability, resiliency, availability, cost efficiency, data privacy, security, compliance, technology selection, mentoring, and structured and unstructured engagements.
$240,000 - $300,000Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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A good understanding of hedge fund strategies and their investment processBuild a platform that enables large scale analytics and data science workflowsAladdin - the investment platform used to manage >$15 Trillion of the global assets.
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Who You Are PhD degree in a relevant field computer science, computational biology, bioinformatics, molecular biology, cancer biology, genomics). The incumbent will apply advanced data analysis skills and machine learning in collaboration with a group of computational and biological scientists to perform translational oncology research around multimodal translational data sets for programs in clinical development.
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Currently enrolled in university, pursuing a Master’s degree in Computer Science, Electrical Engineering, Biomedical Engineering, Data Science, Bioinformatics, or other related field.
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Experience in utilizing cloud-based data governance solutions, like Open Policy Agent (OPA), Strya-DAS, Immuta, Privacera, Gatekeeper, AWS Data Governance tools, Google Cloud Data Catalog/DataPlex, or Microsoft Azure Purview, to manage and govern data across various cloud environments.
ExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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You appreciate and understand the need for a multidisciplinary approach across data science, system integrations, user experience, and finally storytelling through analytics and insights.
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Access, query, aggregate, manipulate, consolidate, and summarize omni-channel customer and visitor data from multiple large-scale data sources using data science tools (SQL,R, Python, SAS, Microsoft Power BI, Azure, Adobe, Databricks.
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data science jobs in San Francisco, CA
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