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In this newly established leadership role within our Product team, Get Well is seeking a VP, Data & Analytics who will be responsible for leading the data strategy across our portfolio of products.
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Work closely with a tight-knit team of data scientists, as well as a larger team of software developers, network engineers, senior investigators, program managers, researchers, and data analysts to design, build, and optimize a Data Science platform to produce and analyze results, disseminate findings, and contribute to publications and presentations.
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Data processing/data transformation using ETL/ELT tools such as DBT (Data Build Tool), or Databricks. Experience working with cloud data solutions (Delta Lake, Iceberg, Hudi, Snowflake, Redshift, or equivalent.
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Implement, design, develop, and innovate current and emerging computational biology and bioinformatics algorithms to analyze, manage, interpret, visualize, and illustrate original scientific data.
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Experience must include two years in each of the following: Data modeling, mathematical calculation and formulas; Hlookup, Vlookup, and pivot/pivot slicer tables; Accounting reconciliation; Credit card reconciliation; Tableau; Advanced Excel; financial reporting and analysis; Salesforce; Alteryx; and Microsoft Dynamics.
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Apply statistical/machine learning approaches to analyze large-scale molecular data (transcriptomics, proteomics, etc.) Identify data in the literature and public repositories suitable for training and validating mathematical models.
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Analysis, quality control, and data reporting using immunoassay techniques including ELISAs, multiplex analysis and flow cytometry, on clinical samples. A good understanding of Statistical Analysis and Communication of Translational Research Data.
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Experience in at least six of the follow technical areas: network design and development; data center network services; virtual private network (VPN) services; Trusted Internet Connection (TIC) Services; network backbone services; collaboration with external Internet service providers (ISPs); Voice over IP (VoIP) implementation and quality management; wireless networks; IP address management (IPAM) services; Dynamic Host Configuration Protocol (DHCP) Services; and Cloud Network Services.
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Process data and information at massive scale as an Artificial Intelligence (AI) and Machine Learning (ML) Engineer with machine learning technologies. Experience with creating benchmark datasets and Python packages to facilitate data science objectives.
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Understanding of the immune system and immunology as it relates to immune oncology and cell therapiesOutstanding verbal and written communication skills with ability to represent pathology data in internal and external meetings, conferences and scientific publicationsOrganizational skills with attention to detail and demonstrated ability to review technical reports, biomarker protocols and quantitative analyses.
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Responsibilities: MuleSoft integration development, design, build, test, debug, deploy, APIs, and integrations Design and develop web services with SOAP and REST API's Develop detailed software design documentation and API documentation Work on cutting-edge technologies like Big Data, reliable messaging frameworks & ETL Do client showcases and demonstrations of developed solutions Design and develop APIs using MuleSoft Anypoint Platform.
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Knowledge of IoT (Internet of Things) technologies for lab equipment, enabling remote monitoring, process analytics, data collection, and predictive maintenance. Understanding of data governance and compliance standards, particularly those relevant to biotech and healthcare industries, such as HIPAA, GDPR, and others related to data security and privacy.
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This includes the design and analysis of high throughput studies using various types of “–omics” technologies such as array- and sequence-based genome-wide association studies, studies of tumor characteristics using integrated genomic data analysis, and molecular epidemiologic studies based on novel assays focused on the metabolome and microbiome.
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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
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Quantum Space is leading the next commercial Space frontier with the development of our constellation to provide data buy services, deploy spacecraft, and perform space logistics for our partners.
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data job Title: consultant Company: Iqvia in Rockville, MD
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