Syneos Health® is the only fully integrated end-to-end clinical and commercial solution organization. We are purpose-built for biopharmaceutical acceleration, creating better, smarter, faster ways to help clients navigate an increasingly complex marketplace. Our business addresses today’s market realities through clinical and commercial sharing expertise ...
Read more about this company
On a stand-alone project acts as Project Leader, including primary Sponsor contact for all contracted Data Management activities and deliverables. On a full service project acts as Functional Lead for Data Management including primary contact for internal liaison between Data Management/Operations and Project Management, Clinical Monitoring, and other functional groups
Coordinate the work of the assigned Data Management/Data Operations team
Ensures launch, delivery and completion of all Data Management activities and milestones according to contractual agreement and relevant Standard Operating Procedures (SOPs), guidelines, and regulations
Provides project specific training to internal and external audiences as required
Responsible for financial management of assigned projects / programs, including revenue recognition, changes in scope and participation in internal project review meetings, including liaison with Finance and Contracts groups as needed
Monitors and communicates project/program progress to the Sponsor and project team including use of project status reports and tracking tools/metrics to enable in stream data collection and query management
Supports the management of resources on assigned projects/programs
Plan, manages and requests resources for assigned projects
Develop and maintain project plans, specifications and documentation in line with SOP requirements
Maintains documentation on an ongoing basis and ensures that all TMF filing is up to date
Participates in, and presents at internal, Sponsor, third-party, and investigator meetings
Plans for and creates necessary documentation to support internal and external audits; participates in such audits
Trains and mentors data management staff, acts as a subject matter expert
Prepares input for, and participates in proposal bid defense meetings
Maintains proficiency in Data Management systems and processes through regular training. May attend/represent the company at professional meetings/conferences
Performs other work related duties as assigned. Minimal travel may be required (up to 25%)
Qualifications What we’re looking for
BA/BS in the biological sciences or related disciplines in the natural science/health care field or Registered Nurse. In lieu of degree, equivalent relevant work experience.
Clinical data management experience or an equivalent combination of education and experience.
Experience in Clinical Data Management practices and relational database management software systems.
Strong project management skills and knowledge of project management methodologies
Demonstrated staff leadership skills.
Contract Research Organization (CRO) experience preferred.
Direct exposure to Oracle Clinical, Rave, or Inform systems. Knowledge of medical terminology, clinical data, and ICH/Good Clinical Practices.
Proficiency in MS Windows navigation, Word, Excel, PowerPoint, and email applications.
Effective oral and written communication skills.
Strong presentation skills
Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while providing attention to detail.
Ability to be flexible and adapt to change, to work independently, as well as part of a multi-disciplinary team.
Ability to make effective decisions and manage multiple priorities in a highly dynamic environment.
Knowledge of ICH/GCP regulatory requirements for clinical studies, in particular requirements applicable to Clinical Data Management
20 Initiatives to Boost Employee EngagementAre you struggling with improving employee engagement at work? This article covers everything from better communication to building a strong workplace culture.
30 Common Interview Mistakes to AvoidThis piece examines 30 of the most common mistakes applicants make at interviews, so you know how to better avoid them.