As a leading global contract research organization (CRO) with a passion for scientific rigor and decades of clinical development experience, Fortrea provides pharmaceutical, biotechnology, and medical device customers a wide range of clinical development, patient access and technology solutions across more than 20 therapeutic areas. With over 19,000 staff conducting operations in more than 90 countries, Fortrea is transforming drug and device development for partners and patients across the globe. Collaborate and functionally report to Lead DM (LDM) for studies which include but not limited to - combination of healthy and patient populations, multi-site, medium complexity in protocol design or client management requirements. As a lead data reviewer and support to the lead Data Manager, you will perform all data operational tasks as appropriate to include, but not to be limited to data review and query management to ensure that quality standards (both internal and Sponsor) are achieved. Ensure that all allocated projects are carried out in strict accordance with the relevant protocols, global harmonized SOPs or client SOPs, and the specified standards of GCPs. Work with the LDM to build study milestone timelines and demonstrates capability to read and follow study timelines for on time deliverables. And capable and knowledgeable on study design to make suggestions to study timelines when warranted. Assist or lead the internal and external Data Management meetings. Assist or lead to write, update/review and approve all required trial data management documentation; including, but not limited to: Study-specific case report forms, CRF Completion Guidelines, Data Management Plan, Data Quality Checks (edit checks). Performs QC on all aspects of work performed in DM Operations to ensure that data quality and integrity is maintained. Feedback constructively on relevant issues and initiate process review as appropriate. Coordinate with DM study team to ensure the receipt and inventory of all data related information is delivered within agreed upon timelines. Ensure all appropriate documentation and procedures are performed upon project completion for operations team. Assist or lead the managing of the DM study team ensure client satisfaction is achieved through delivery of quality data. Assist or coordinate the internal or external meetings as appropriate. Attend client or internal audits as appropriate and resolve all issues within an appropriate timeframe. Address client comments with the study team. Assist or provide reports to Sponsor and internal team as dictated by project need. Assist or lead with the completion of Database Lock and Unlock activities with LDM. Post Data Management documentation and data management related administrative tasks as requested, including maintenance of eTMF as required. Performs other related duties as assigned by Line Management. Fortrea is actively seeking motivated problem-solvers and creative thinkers who share our passion for overcoming barriers in clinical trials. Our unwavering commitment is to revolutionize the development process, ensuring the swift delivery of life-changing ideas and therapies to patients in need. Join our exceptional team and embrace a collaborative workspace where personal growth is nurtured, enabling you to make a meaningful global impact. For more information about Fortrea, visit www.fortrea.com. Fortrea is proud to be an Equal Opportunity Employer: As an EOE/AA employer, Fortrea strives for diversity and inclusion in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications of the individual and do not discriminate based upon race, religion, color, national origin, gender (including pregnancy or other medical conditions/needs), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. We encourage all to apply. For more information about how we collect and store your personal data, please see our Privacy Statement.
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