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Experience with data visualization tools (e.g. Power BI, Tableau, Data Studio) Advanced understanding of SEM using Google Ads, Bing Ads or other paid search engines. Experience with DMP management, including 1st party, 2nd party and 3rd party data.
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Engage with other Global DD&T (GDD&T) platform leads to ensure infrastructure is built to support all internal & external digital experiences; collaborate with Chief Data Officer (CDO), Chief Technology Officer (CTO), and Chief Information Security Officer (CISO) to ensure strict compliance with data, technology, and information security standards.
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Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential. The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management.
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Duties include:·Integrate and organize existing data from many modalities, including 16S amplicons, shotgun metagenomics, multiplex ELISA, metabolomics, and more. The person hired will work under the supervision of Dr. Kwon conducting patient-oriented translational research involving curated, high dimensional, multiomics data integration, including analysis of metagenomics, metatranscriptomics, metabolomics, host single cell transcriptomics and clinical metadata.
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Critical aspect of the role includes defining an agile quality and compliance strategy that supports Digital Data unit in their effort to establish a standardized, resilient, and sustainable data pipeline - including data sources, data quality, data governance, data management and master data management.
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Ensure archival and inspection readiness of all Data Management Trial Master (TMF) documents. Responsible for performing data management oversight activities in support of Leap Clinical Studies by overseeing the activities of the CRO DMs, from study start-up through to study closeout, to ensure adherence to scope of work and service agreements, and that the deliverables are on time, within budget and are of a high quality.
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Experience with streaming / data processing technologies such as Beam, Spark, Kafka, Airflow, HBase, Presto. Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, Presto, HBase.
$200ExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Projects will include data-intensive federal government projects focused in social science and public health research. Preferred: Experience with data from behavioral health programs, including those administered or funded by SAMHSA, HRSA, CDC, or other relevant agencies a plus Preferred: Experience utilizing secondary data sources to supplement primary data analyses (e.g. census data, geographic data, key national health indicators, etc) What We Offer We foster an environment where you can Thrive Your Way. Our innovative total rewards programs are designed to help balance your work and personal life.
$83,000 - $140,000 a year (equity)Full-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Risk Management: Identify potential risks and proactively implement mitigation strategies to ensure system stability and data security. Proven experience (5+ years) in software engineering, with expertise in Python, Airflow, Snowflake, and AWS. Strong leadership and managerial skills, with a track record of successfully leading and mentoring engineering teams.
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Expertise in big data technologies (e.g., Spark, Beam, Kafka, Airflow), databases and data store technologies (e.g., Hadoop, Snowflake, PostgreSQL), and cloud platforms (e.g., AWS, Azure, Google Cloud.
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The Davies Lab have used unoccupied aerial vehicles to collect a large amount of LiDAR data spanning natural and experimental gradients of climate, wildlife abundance, fire frequency, and other factors at multiple sites across Africa, which will be available for use by the postdoctoral researcher to answer questions related to animal and landscape ecology.
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Members of PTI will be supported with industry-level resources to lead research projects and disseminate their discoveries and innovations to the broader biomedical community through frequent publications, presentations, and submissions to public data portals.
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Data Management: Maintain accurate records and data on community engagement activities, program outcomes, and client interactions, utilizing this information to inform decision-making and continuous improvement efforts.
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Experience with analyzing and interpreting preclinical and clinical biomarker datasets and mining publicly available data. The successful candidate will be responsible for analyzing early-stage biomarker and multi-omics data, mining publicly available data sources, and designing experiments to validate model predictions.
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Our research team is based at the Broad Institute of MIT and Harvard, with members in the Data Sciences Platform, Program in Medical and Population Genetics, and Stanley Center for Psychiatric Research, and in the Center for Genomic Medicine (CGM) at Massachusetts General Hospital (MGH) and Harvard Medical School.
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data sem jobs in Wellesley Hills, MA
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