Pacira BioSciences, Inc. is a leading provider of non-opioid pain management and regenerative health solutions dedicated to improving outcomes for health care practitioners and their patients. Our in-depth knowledge of non-opioid pain management, coupled with our passion for advancing patient care, drives our commitment to providing solutions that address unmet medical needs and improve clinical results.
The Sr. Clinical Data Manager will lead all the data management tasks to ensure that studies are properly designed and presented to successfully support the product development and the resulting regulatory submissions.
Represent all aspects of Clinical Data Management (CDM) in a clinical study team environment. Provide advice and solutions to CDM related risks and issues
Responsible for the implementation of clinical study database, startup documents, reports, and external data/system planning and incorporation/integration, including but not limited to EDC, IRT, Lab and Central Read data, and integration with CTMS.
Manage and ensure CDM quality, timeline and deliverables. Responsible for CDM training, study data collection, data review, query management, medical coding, change management, external data handling, CDM documentation and SAE reconciliation.
Responsible for database lock and archival of CDM deliverables and documents.
Communicate with other team members, report issues, and coordinate data management related team meetings. Track study data management performance and provide project racking on an ongoing basis.
Perform other data management functions as necessary. Support departmental initiatives.
The qualified candidate will possess the following:
Bachelor s degree in Science or Medical/Clinical discipline from accredited college or university.
Minimum of 5 years experience in clinical data management.
Demonstrated strong knowledge in medical terminology, clinical study protocol, clinical trial process and therapeutic areas.
Demonstrated working knowledge of EDC Clinical databases, Interactive Response Technology, Clinical Laboratory Data, CDISC understanding, SAS dataset structure, MedDRA and WHO-Drug coding dictionaries
Excellent written and verbal English communication skills.
Proven strong attention to detail
Demonstrated organizational and time management skills, ability to meet deadlines.
Excellent MS Ofice skills including Excel, Word and Power Point
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