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Principal Scientist, Bioinformatics Data Science Dyne Therapeutics is a clinical-stage muscle disease company focused on advancing innovative life-transforming therapeutics for people living with genetically driven diseases.
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Hands on experience in SAP IBP time series and order-based planning data models. Correct any master data warnings and errors in supply planning and ATP confirmation runs. Knowledge of IBP Master data types such as Product, Location, Compound Master data – Location Product, Location Source, Production source Header and Item, Production Data Structures (PDS), Transportation lane.
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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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The Principal Scientist, Bioinformatics Data Science, is a critical contributor to data analytics and engineering focused on accelerating our R&D programs and expanding our FORCE therapeutic delivery platform.
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Design, develop, and maintain scalable data pipelines for the analysis of large-scale omics datasets, including genomics, proteomics, metabolomics, and human genetics data. Ph. D. (or equal work experience) in Bioinformatics, Computational Biology, Computer Science, or a related field with a strong emphasis on data engineering, bioinformatics pipeline development, and human genetics.
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About the Position As an Associate Machine Learning Engineer on the National Grid Data Science team, you will develop data pipelines, take data science prototype models to production, fix production bugs, monitor operations and stand up the necessary infrastructure in Azure.
$99,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Additionally, the fellow will have significant opportunities to contribute to Sanofi's digital transformation by collaborating on projects with other CMC teams and global process modeling and data science teams.
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Database Marketing: Manage database marketing program, including accuracy and maintenance of customer and prospect data, focusing on completeness and compliance with data protection regulations (i.e., GDPR.
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You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence.
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Excellent data analysis and interpretation skills, with familiarity using statistical tools and software for data processing (e.g., GraphPad Prism, Spotfire). Excellent verbal and written communication skills for presenting data and drafting technical reports.
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Perform biomarker data analyses including pharmacodynamic markers (cytokines, peripheral immune cell profiles, and tumor protein markers) and exploratory biomarkers (genomic and transcriptomic changes, deriving gene signatures) to support dose-finding, patient stratification, and understanding of MOA in the clinical trials.
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A successful candidate in this role is an experienced data scientist with a proven track record in applying cutting-edge, advanced computational methods to drive innovative drug discovery and development.
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Oversee CRO and vendors, and participate in study start-up activities, including development, review, and approval of eCRF requirements, EDC database specifications, Data Transfer Specifications, eCRF completion guidelines, Data Management Plans, Data Validation specifications and User Acceptance Testing.
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Collaborate with cross-functional teams, including Clinical Development Operations, Clinical Development, Biostatistics, Statistical Programming, Pharmacovigilance, Pharmacology, and Regulatory Affairs, to ensure the integration and accuracy of clinical data.
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Maintain data integrity in compliance with GCP, relevant SOPs and regulatory requirements by reviewing data processes and filing documentation in the trial master file (TMF) Direct experience with different Data Management systems and technologies, Electronic Data Capture systems and CDISC data standards.
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data job Company: Adobe in Waltham, CA, Canada
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