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Maintain scalable data pipelines using Apache Airflow and IICS to ensure efficient data processing and integration. - Solid understanding of data integration concepts and best practices.
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Experience with multi-omics analysis and integration with other multi-modal data. The successful candidate will be adept at performing multi-omics integration, as well as integration of -omics data with multimodal clinical data.
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The oligotherapy principal data scientist role is embedded in and directly supports the Oligo Sciences team whose broad remit is the design, characterization, and early development of oligonucleotide therapies.
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In this role, you will be responsible for ensuring the smooth execution and optimization of data workflows using tools such as Airflow, Informatica Intelligent Cloud Services (IICS) and other Cloud applications.
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Familiarity with data standards, semantics, terminologies, ontologies (e.g., CDISC, OMOP, NCI, MedDRA, MeSH, RxNorm, OBI, LOINC, UBERON, DOID, or others) is a plus. Understanding of biomedical/biomarker data and/or other life science data.
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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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Experience in a statistical programming language (for example, R or Python) and related data science / machine learning packages (for example, Pandas, Scikit-learn, Pytorch, Transformers) Extensive experience in AI/ML algorithm development and data analysis including at least one of the following: NLP, time-series analysis, predictive modeling; experience with scripting, data structures and algorithms and ability to work with large amounts of data.
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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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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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Experience with ESG/EHG sustainability software and analytics tools, data management, processes, and controls mapping. Experience managing Scope 1, 2, and 3 corporate Greenhouse Gas (GHG) inventory data, sustainability KPI measurement, reporting, and assurance.
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Experience leveraging complex data to drive business decisions, hands-on experience in data science methodologies (predictive analytics, machine learning, patient level data triggers) using R, Python, Databricks and deep knowledge of Qlik, PowerBI, Tableau for visualization.
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The person will work directly with stakeholders across - ESG Investments, ESG Product Strategy, ESG Data and Operations, Client, Product and Regulatory Reporting, and Enterprise Risk Management to understand their data and reporting requirements and to translate requirements into functional specifications for technology partners building/enhancing IT solutions for ESG reporting.
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As a Post Implementation Senior Architect, you will support a group of customers assigned to you, think companies such as Merck, Bayer, Eli Lilly, Bristol Myers Squibb, and many others. As a Post Implementation Senior Architect, you will support a group of customers assigned to you, think companies such as Merck, Bayer, Eli Lilly, Bristol Myers Squibb, and many others.
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As a Principal Data Modeler on the Data team, you'll get the lead and collaborate across Fidelity teams in a fun and dynamic environment to build Data modelling platform for Fidelity Digital Asset.
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Lead the integration of Wiz with ServiceNow CMDB to populate cloud resource data from AWS, Azure, and potentially GCP, ensuring the accuracy and timeliness of CMDB updates. Design and maintain integration solutions with third-party tools for automatic population and synchronization of data into the CMDB.
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integration architect data jobs Title: modeler in Boston, MA
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