| Data Analyst with Clinical Trail Data Management (Life science Pharma R&D domain) at Trail, British Columbia, USA |
| Email: [email protected] |
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Job Title/Role Data Cum Business Analyst Job Location/Client Location (with City & State) Princeton, NJ, USA Remote ok (Yes / No) Yes Project Duration 6+ months Project/Billing Start date Asap Buy Rate $50-52/hr. Mandatory Skills Hands on experience as a Data Analyst using the Data Analysis suite of tools (preferably, Snowflake, Alation, Jupyter Notebook, Python, Advanced SQL). Strong understanding of Data Analysis concepts (Data Profiling, Exploratory Data Analysis, and Data Insights & Visualization). Experience of working in the Life science Pharma R&D domain. Experience in Clinical Trail data Management (CDM), CRF and CDM data domains knowledge. Responsibilities: Manage and evolve the Data Product working practice and governance. Manage the Data Product demands. Onboard and guide the Data Product team peers (on demand basis). Execute the Data Product business and data analysis. Adhere to the Data Product working practice and governance. Adhere to the Otsuka pharma R&D domain, GxP, CSV, ITIL, and Agile processes. Qualification: Hands on experience as a Data Analyst using the Data Analysis suite of tools (preferably, Snowflake, Alation, Jupyter Notebook, Python, Advanced SQL). Strong understanding of Data Analysis concepts (Data Profiling, Exploratory Data Analysis, and Data Insights & Visualization). Experience of working in the Life science Pharma R&D domain. Experience in Clinical Trail data Management (CDM), CRF and CDM data domains knowledge. At least 8 years of intensive hands-on experience in Data Projects as a Data Analyst using the Data Analysis suite of tools (preferably, Snowflake, Alation, Jupyter Notebook, Python, Advanced SQL). Strong understanding of Data Analysis concepts (Data Profiling, Exploratory Data Analysis, and Data Insights & Visualization). Experience working in the Life science Pharma R&D domain. Experience in Clinical Trail data Management (CDM), CRF and CDM data domains knowledge. Experience working in the Life science Pharma GxP, CSV process, and documentation. Experience writing Technical Documentation in compliance with GDP. Experience working in ITIL, and Agile frameworks (preferably ServiceNow and Azure DevOps). Excellent listening, critical thinking, and analytical skills. Certification in Data Management (any specialty). -- Keywords: rlang information technology New Jersey Data Analyst with Clinical Trail Data Management (Life science Pharma R&D domain) [email protected] |
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| 03:45 AM 20-Nov-24 |