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Collaborate closely with other computational scientists and medical professionals, such as physicians and researchers, to design and execute data analysis projects aimed at advancing HPV and HIV research.
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Work with the Data Science Services team to provide beginning to intermediate data analysis consulting services for faculty, students, and staff from a wide range of disciplines across the university in the following areas: Data Engineering Extract, scrape, process and engineer data using a variety of tools such as Python, R, Stata, NVivo, etc.
$117,150 a yearFull-timeExpandApply NowActive JobUpdated 25 days ago - UpvoteDownvoteShare Job
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Working knowledge of dashboard data visualization including: AWS Quicksight, Google Looker, and/or Microsoft Power BI. We are specifically looking for someone who understands the role of the digital analytics director and the critical part that this team will play in scaling the digital transformation at SBNA. This person should be completely at home helping build and grow a team that can both lead in the data collection and syndication, as well as in the insights and analytics necessary to drive growth and improve customer experience.
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In partnership with the Data Science team, manage bioassay data integration into the Flare data management platform (supporting early hit finding through DC candidate identification) and help lab scientists analyze and report project data efficiently.
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Master’s degree in data science/bioinformatics/computational biology/machine learning or related field. Support various teams for the processing and interpretation of next-generation sequencing (NGS) data and ensure timely delivery of results.
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Help implement automated data governance policies wherever the data is accessed (Databricks, Snowflake, Spotfire, PowerBI, Azure Data Factory, Databricks (PySpark) and Snowflake preferred.
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Under the supervision of Dr. Ruanne Barnabas, Chief of the Division of Infectious Diseases, the Sr. Data Scientist will work closely with faculty and staff within MGH, with departments and research groups at the Fred Hutchinson Cancer Center, and with international collaborators.
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Minimum of 6 years of development experience using Snowflake, Databricks, Spark, Redshift, or equivalent data technologies. 3+ years leveraging Databricks, Snowflake, AWS, or equivalent cloud data platforms.
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Deliver datasets from onboarding through mapping and automated DQ so they can be handed off to the Data Operations team for DQ maintenance and consumed by research teams and production. The Asset Management Quant Research Engineering team is looking for a Senior Data Engineering who wishes to take on the challenge of building a world-class data operation.
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An in-depth knowledge of anatomy and physiology is also required so the technologist can evaluate laboratory data, past medical history and pertinent symptoms to tailor the ultrasound or vascular examination to each patient individually.
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30%: Develop advanced methods for integrating different data modalities (acoustic, kinematic, EMG, EEG, neuroimaging, and FlexNIRS) using machine learning. The data we work with include speech acoustic and kinematic recordings, EMG, EEG, neuropsychological assessments, clinical and neurobiological data, and neuroimaging.
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Deep understanding of data mining, machine learning, data modeling, and ONA. Experience with visualization tools and statistical packages (SAS, R, Tableau, PowerBI) and SQL. Solid understanding of HR processes and practices - Proficiency in statistical analysis software and data visualization tools, such as R, Python, or Tableau, working with Workday and other HR systems data.
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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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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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Overview The Dana-Farber Cancer Institute seeks an Associate Computational Biologist, under the Department of Medical Oncology to work as a data scientist on the analysis of new datasets generated in the context of multiple clinically oriented cancer sequencing projects in order help advance efforts for precision cancer medicine.
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teradata data jobs Company: System One in Melrose, MA
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