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Leading the design, build, migration, and testing of OneStream for multi-dimensional data models (dimensions, hierarchies, attributes); input template and report build; Data Integration and Extract Transform and Load (ETL) concepts; understanding of calcs (allocation, top-down spreading, currencies); and, workflow, data permissions and security.
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The newly created Manufacturing Intelligence organization within Pfizer’s Global Technology & Engineering will help to drive Pfizer Global Supply toward ‘Industry 4.0’ capability through Big Data, Process Analytical Technology, Advanced Process Control, Artificial Intelligence and Robotics.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). As a Senior Manager within Axtrias Data Science COE you will have the responsibility to apply AI/GenAI and data science to solve business problems for functional areas within Biopharma/Oncology, relating to Sales and Marketing, Medical Affairs and/or Clinical.
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Must have skills: RedHat OpenShift Container Platform(Operators, OpenShift Data Foundation, OpenShift Pipelines, Image Registry) Kubernetes, Docker, Podman, Elasticsearch/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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Establish and maintain effective communication and collaboration with functional area peers including Pharmacovigilance, Drug Supply, Quality Assurance, Regulatory Affairs, Legal, Medical Writing, Biostatistics and Data Management to meet program objectives and support achievement of goals.
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Must have skills: RedHat OpenShift Container Platform(Operators,OpenShift Data Foundation,OpenShift Pipelines,Image Registry) Kubernetes, Docker, Podman, ElasticseClienth/PostgreSQL-DB Administration, Jenkins, GitLab, Kafka, A10 Networks Load Balancing.
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Disseminates internally up to date scientific data across Cell Therapy assets and disease states including recent publications, landscape, insights, presentations, study specific information, scientific statements, providing training as needed to medical affairs associates.
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Bachelor’s or foreign equivalent degree in Accounting, Finance, Economics, Computer Information Systems, or a related field and 5 years of experience in data analysis, data integration, and using SQL, Unix, and Linux.
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Prior experience in design, conduct and oversight of real-world evidence studies ranging from protocol writing to project management oversight and data interpretation and communication. Solid understanding of the cross-functional drug development lifecycle and processes (Business Development, Clinical Trial Design, Conduct & Endpoint Selection, Clinical Operations, Data Management, Biostatistics, and Regulatory.
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Knowledge of cGMP, GxP, GAMP, and SDLC regulations, including 21CFR part 11 electronic records and electronic signatures, and good documentation practices with the ALCOA+ principles of data integrity, risk-based approaches to validation, Computer Software Assurance (CSA) principles.
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Is accountable for inspection readiness of external data documentation filed/archived in Trial Master File (TMF) according to applicable Daiichi Sankyo and regulatory requirements. This position also requires knowledge of external data concepts, working knowledge of data collections (EDC & Non-EDC), industry standards (CDISC / SDTM), and technical skills for integrating and importing external data received from CROs, Vendors and/or Partners.
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A Bachelors degree in Biology, Computer Science, Porgramming, Data Management, Scientific or Analytic Discipline or a related field with a minimum of 5+ experience with various reporting and analytic tools – JReview, Spotfire, Tableau, Qlik, SAS, and SQL.
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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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High proficiency on data analysis using tools like R, Python, SQL (atleast one required/Python preferred) Qualitative skills: Independent contributor/Self starter Good communication and presentation skills to present work to Executive Leadership team Able to commute to client location - 25% Extensive knowledge of various pharmaceutical industry data sources such as: IQVIA (xPonent, xPonent PlanTrak, NPA, DDD, HCOS, and Patient Level data) or Symphony data.
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The CES Ops portfolio is dynamic in nature; study types include, but are not limited to, less complex data transfer agreements, retrospective sample/data acquisition studies to more complex prospective studies including sample/data acquisition, biomarker/technology/method validation, genotypic/phenotypic call back studies, and challenge/screening studies.
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