Assistant Clinical Data Manager

<h2>Job Overview:</h2><ul><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Run ancillary programs (e.g., diagnostics, special listings, reconciliation discrepancy listings) used to support the review of clinical trial data. Interact with the dictionary coding and maintenance group to ensure appropriate process setup and application, Perform reconciliation of central laboratory and/or third party vendor data (eCRF, eDiary, specialty laboratoty, etc.). Serve as a reviewer of project documents such as protocols, CRFs (or eCRFs and eDiary), monitoring conventions, CRF (eCRF) completion guidelines, etc. Assist in the development of the clinical data model and/or database design and annotate the CRF (eCRF) according to these specifications. Assist in the development and testing of data management system edit / data validation checks (diagnostics) and special listings / procedures used as tools for the data review and discrepancy management activities. Serve as client contact for project meetings and CDM status updates.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Potentially support business development for data management time and cost estimates and prepare and present to potential clients on global data management capabilities.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Interact and collaborate with other project and specialty team members (clinical, programming, statistics, CDM technical support, drug safety, etc.) to support the set-up, maintenance, and closure of the data management aspects of the project to ensure consistent, cohesive data handling and quality.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Assist in the creation of data acquisition conventions and data review guidelines / diagnostic specifications consistent with the clinical data model, [statistical] analysis plans, and CRF (eCRF) completion / monitoring conventions.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Assist with the development of [Global] Data Management Plans and Quality Management (QM) Plans that will deliver accurate, timely, consistent, and quality clinical data.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Perform aggregate review of clinical data by patient, site, and/or project to identify data trends (patient safety, compliance, etc.), and/or data inconsistencies that require further investigation. Apply quality control procedures and checks to ensure data quality standards (client and Labcorp) are achieved.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Perform reconciliation of the clinical and safety databases.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Generate, resolve and track queries to address problematic data identified during data review activities and apply proper modification / correction to the data base.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Review clinical trial data in accordance with [Global] Data Management Plans and applicable standardized data management processes (SOPs, Work Instructions, etc,) to identify erroneous, missing, incomplete, or implausible data.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Support the training of project staff on project-specific, global, standardized data management processes.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Maintain technical data management competencies via participation in internal and external training seminars</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Review literature and research technologies/procedures for improving global data management practices.</span></li><li style="margin-left: 0.5in; text-align: left;"><span style="font-family: verdana, geneva;">Perform other duties as assigned by management.</span></li></ul><p style="margin: 0px; text-align: left;"> </p><p style="margin: 0px; text-align: left;"> </p><h2>Education/Qualifications:</h2><p style="margin: 0in 0.35pt 0.75pt 20.15pt;">University/college degree (life science, pharmacy or related subject preferred), or certification in a related allied health profession from an appropriately accredited institution (e.g., nursing certification, medical or laboratory technology).</p><p style="margin: 0in 0.35pt 0.75pt 19.45pt;">In lieu of the above requirement, approximately 18 months experience in related field (e.g. pharmaceutical, laboratory, data analysis) incorporating approximately one year's clinical data management experience in addition to the four (4) years relevant work experience in data management will be considered.</p><h2>Experience:</h2><p style="margin: 0px;">6-8 years of relevent Clinical Data Management experiance</p>