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O Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. We are looking for a self-directed professional to support Digital Health Technology (DHT) (wearable sensors) and imaging components set-up and monitoring within clinical trials; specifically focused on the operational initiation/set-up, vendor and digital data/imaging monitoring, and data cleaning process efforts that occur within the Biomeasures Endpoints and Study Technologies (BEST) projects.
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Electronic data captures (EDC) solutions, e.g., REDCap, Encapsia, Oracle Clinical, Medidata Rave. Hands-on experience with data monitoring and vendor operations, data collection, data-entry, data-monitoring, data-validation, discrepancy management, data-extraction, and IRB/regulatory requirements.
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Python knowledge is a plus Strong SQL knowledge and work experience with databases such as Oracle, PostgreSQL, Snowflake, Teradata Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
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Clinical trial experience involving, operationalizing, deploying and monitoring digital health technologies and imaging associated data. Title: Associate Director Data Operations (Clinical.
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Proficient in integrating experimental data into Laboratory Information Management Systems (LIMS) to ensure accurate and efficient data management and accessibility is preferred. Demonstrate a proven track record of efficiently collating, analyzing, visualizing, interpreting and communicating complex data sets using a repertoire of digital tools.
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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Administration - Computer Online Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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PhD degree in bioengineering (or a related engineering-focused field of study), or equivalent experience in industry, with a focus on biosensor platforms, quantitative fluorescence data, or similar.
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Drive the adoption of best practices in data engineering, including the use of SQL, Snowflake, dbt, Python, and cloud platforms like Microsoft Azure. Oversee the design and management of scalable, secure data platforms, including SQL databases, Snowflake, dbt, Microsoft Azure, and other cloud-based solutions.
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The Data Warehouse Analyst II/Data Engineer leads the implementation and maintenance of our new Snowflake data warehouse. Executive Office of Housing and Livable Communities (EOHLC ) i s seeking a Data Warehouse Analyst II/Data Engineer in the Deputy Secretary’s Office.
$115,204.96 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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5 years of experience as Chief Data Officer or Chief Digital Officer in an AI-driven techbio company, leading computational sciences (computational theoretical chemistry, computational medicinal chemistry, computational biology, bioinformatics, and digital biology) and supporting digital infrastructure systems (biological/lab automation, software automation, workforce automation, IT, informatics, security.
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Partners with colleagues in BEST, Digital Quantitative Sciences, Clinical Data Sciences, Data Acquisition, Biostatistics, Development Operations and Legal to ensure excellence in development and translation of these clinical research plans into efficiently delivered studies.
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We’re helping patients get the best care possible by working on digital health experience, analyzing big data to streamline the delivery of care, and reaching out to medically complex patients to better understand their needs.
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The teams develop advanced Data products and insights for all cross-functional teams at JetBlue including up/cross-skilling the internal analyst community. The Data Scientist will be responsible for Exploratory Data Analysis (EDA), feature engineering, feature selection, real-time streaming pipeline engineering, online/offline feature store curation, iterating various modeling approaches, evaluating error metrics, deploying Machine Learning models to the cloud, creating compelling visualizations and communicating findings effectively to large audiences.
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Experience processing large data sets (including from digital health technologies) in a distributed computing environment. In close partnership with colleagues from Research teams from Client Research and Development (PRD), you will play a key role in the deployment of novel digital and imaging measures into clinical studies, collection, management and analysis of sensor data, both in patients and healthy volunteers.
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The co-founders are currently on the lookout for a VP of Data Science (with potential for the position to be moved to C-suite level, along with co-founder status) with extensive experience working with genomics data and a proven track record on building high-performing data-driven teams in a start-up environment.
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data job Title: analyst Company: Randstad in Somerville, MA
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