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Four years experience working in technical data analysis, data science, or data warehousing, preferably in a transportation-related field. Provide the Commercial Motor Vehicle (CMV) Program Coordinator with actionable insights and analysis reports based on data, to support decision-making efforts toward program oversight and monitoring goals.
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What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift). Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions.
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We are seeking a candidate with a background in bioinformatics, computational biology, biostatistics, or related field with experience analyzing large genomic and transcriptomic (bulk and single-cell) next-generation sequencing data, leveraging publicly available data from publication and repositories (GEO, TCGA, Ensemble, etc.
$70,000 - $105,100 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Data quality surveillance of CRF and external/non-CRF clinical trial data (e.g. Biosample Lab Data, Biomarker Data, Imaging) in collaboration with other Clinical Operations roles, Medical Monitors, Translational Medicine, Clinical Pharmacology, Biostatistics, and other internal and external stakeholders.
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Represents GBS Data Governance in enterprise workgroups and data steward communities of practice. Serves as Data Steward as part of an Agile team dedicated to Claims Transaction data operations & initiatives.
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Provides ad-hoc programming support to Clinical Operations, Data Management, Statistical Programming, Biostatistics, Drug Safety, Clinical Science, Medical Writing and Drug Safety to ensure rapid access to clinical study data for data cleaning/validation, SAS listings review, TLF, dry runs, etc.
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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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Work closely with scientists within the in-vivo pharmacology group to verify in-vivo and Pharmacodynamic (qPCR) data. Work closely with scientists within the ADME group to verify bioanalytical data generated using HPLC-FD and LC-MS/MS.
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Deep knowledge of modern data warehouse platforms (Snowflake, Databricks, Redshift, Azure Synapse) Hands-on independently and/or with Tech Leads, with Cloud-based technologies (i.e., Snowflake, Databricks), creating data pipelines and orchestration to integrate systems.
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Experience with advanced knowledge of psychometrics, econometrics, and biometrics such as validation of health measurement scales, longitudinal data analysis, missing data methods, multiple comparisons techniques, cost-effectiveness analysis, generalized linear models, meta-analysis, real-world data analysis, and conjoint analysis.
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Familiarity with regulatory guidelines and standards related to bioanalytical data review. Interpret data and provide insight for in-vivo studies, ensuring alignment with study objectives and protocols.
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Excel, FloQast, Word, Adobe PDF Pro DC, Power Point, Alteryx, OneSource Tax Provision (or other provision tool) Data Driven Decision Making - Ability to confidently make recommendations to Management, business decision makers based on objective data.
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Experience with one or more data visualization/dashboarding tools like Power BI, Tableau, R/Shiny. Experience with one or more programming languages for data analysis, such as R, Python, SAS, SPSS, Stata.
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Ensure a Data Steward is assigned, and that Data Governance and Data Privacy guidelines are completed by the team when data is involved. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.
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We are looking for a Data Scientist to join our Risk Data Science and Analytics Team. You will improve our risk controls through advanced statistical and analytical techniques. The Risk Data Scientist will identify and prevent fraud on our most valuable sellers.
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tnt data jobs in Cambridge, MA
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