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System & Tool Mastery: Work seamlessly within the LIMS (Laboratory Information Management System) framework, data lakes, and custom tools, maximizing platforms like D360 & Spotfire. Technical Acumen: Experience with LIMS, especially in the pharmaceutical industry, as well as familiarity with agile project management, Six Sigma, and cross-discipline project coordination.
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Utilize the manufacturing support systems and equipment as required including, but not limited to, SAP, VEEVA, Delta V, Syncade, LIMS, CMMS. Utilize the manufacturing support systems and equipment as required including, but not limited to, SAP, VEEVA, Delta V, Syncade, LIMS, CMMS.
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Deep knowledge of Life Sciences Research and Early Discovery (R&ED) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab - Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
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Skills with Veeva eTMF, ELN/LIMS, NetSuite, Coupa, ADP & SharePoint a plus. We have built a deep portfolio of AVV-based gene therapy product candidates, with five product candidates in clinical trials: 4D-150 for the treatment of wet age-related macular degeneration (wet AMD) and diabetic macular edema (DME), 4D-710 for the treatment of cystic fibrosis lung disease, 4D-310 for the treatment of Fabry disease cardiomyopathy, 4D-125 for the treatment of X-linked retinitis pigmentosa (XLRP), and 4D-110 for the treatment of choroideremia.
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Familiar with data integrity strategic plan, experiences in building and implementing QC LIMS system, and analytical instrument software validation. Strong technical background in assay development, pharmaceutical analysis, bioassay, impurity testing, microbiology support, quality control, and stability management.
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The IT-OT Security Engineer supports PCS (Process Control Systems), PIMS (Process Information Management Systems), Lab Systems, LIMS (Laboratory Information Management Systems), and Analytics Systems from an IT-OT Infrastructure standpoint.
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Experience utilizing software programs related to electronic batch records (ERBs), electronic quality management systems (QMS), laboratory information management systems (LIMS or MODA), building automation systems (BAS), manufacturing monitoring systems (MMS/PI), supervisory control and data acquisition (SCADA, PI-Historian), and enterprise resource planning (ERP.
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Experience with LIMS, Microsoft SharePoint, Microsoft Access and National Instruments LabVIEW. Experience with LIMS, Microsoft SharePoint, Microsoft Access and National Instruments LabVIEW. Ashland has an exciting opportunity for a Process Safety Lab Supervisor to join Ashland Specialty Ingredients G. P. as a member of our Process Safety Lab Team. This position is visible and significant and will report to the Applied Research Group Leader in Bridgewater, NJ.
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You have 3 years of sales experience preferably in software sales, ideally in selling LIMS, ELN, QMS, MES or similar systems to laboratories. It is a digital twin that aligns work demand with the resource capacity of knowledge workers & equipment and comes with zero-code integration in the enterprise architecture (LIMS, PPM, CTMS, MES, etc.
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Experience working with electronic systems (e.g., LIMS, Veeva) a plus. In-depth knowledge of relevant cell therapy analytics including Flow Cytometry, qPCR, ddPCR/dPCR, cell-based assays, sterility, and biological potency.
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Responsible for supporting the sample management process for QC (pick up from manufacturing, maintaining chain of custody in LIMS, aliquoting/delivering samples to appropriate lab, etc) Job Title: Sample Management Associate / LIMS / Pharma Manufacturing.
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Use of Laboratory computer systems and GMP Quality Systems such as: TrackWise, LIMS, DMS, LMS. Experienced with analytical test methods used for cell/gene therapy (e.g. flow cytometry, cell-based assays, PCR, and ELISA test methods.
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Experience with database management systems including Snowflake, MS SQL, and PostgreSQL. Previous experience with LIMS (Laboratory Information Management System) and ELNs (Electronic Lab Notebook) such as LabVantage and Benchling preferred.
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Tasks involve sample management, evaluation of sample quality, library construction, library quality evaluation and submission using LIMS systems. Follow up with accurate data entry into the LIMS system.
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Deliver technical implementation for four learning systems, including: Laboratory information management system (LIMS), quality management system (QMS), NetSuite enterprise resource planning software (ERP), and a learning management system (LMS.
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