Sr Clinical Data Manager (Hybrid - Europe) Veeva CDMS and Veeva CDB - Required
Job Description
Updated: March 17, 2026
Location: Bloemfontein, FS, South Africa
Job ID:-OTHLOC-4265-2DH
Syneos Health is a leading fully integrated biopharmaceutical solutions organization built to accelerate customer success.
Our Clinical Development model places the customer and the patient at the center of everything we do. We are continuously looking for ways to simplify and streamline our work to make Syneos Health easier to work with and easier to work for.
Job Responsibilities- Serves as Functional Lead for Clinical Data Science including primary contact between Clinical Data Science and Project Management, Clinical Monitoring, and other functional groups.
- Acts as central steward of clinical data quality, monitors risks through a holistic review of clinical and operational data, and aligns with cross functional operational plans to drive comprehensive clinical data quality.
- Ensures required data elements and corresponding data quality oversight steps are identified to support the defined study analysis.
- Works with assigned project teams to communicate, address, troubleshoot, and resolve data related questions and recommends potential solutions; escalates issues that potentially impact patient safety and study analysis.
- Coordinates cross functional data cleaning activities to ensure quality standards and timelines are met for clinical data deliverables.
- Drives the development of the clinical data acquisition plan and corresponding data flow diagram with the study team, assesses risks associated with protocol design, and aligns data flow with the study protocol to ensure regulatory and study endpoint requirements are met.
- Drives the development of analytical tools, utilizes analytical platform/dashboard to detect potentially unreliable data, performs analytic reviews as defined in scope of work, identifies root cause to systematically resolve data issues.
- Monitors and communicates project progress to the Sponsor and project team using status reports and tracking tools/metrics.
- Ensures launch, delivery, and completion of all Clinical Data Sciences activities and milestones according to contractual agreement and relevant SOPs and regulations.
- Reviews, maintains budget and identifies out of scope items for Clinical Sciences activities; raises to PM for required change order.
- Plans, manages, and requests Clinical Data Science resources for assigned projects.
- Coordinates the work of the assigned Clinical Data Science team.
- Develops and maintains project plans, specifications, and documentation in line with SOP requirements.
- Maintains documentation on an ongoing basis and ensures TMF filing is up to date.
- Participates in, and presents at internal, Sponsor, third party, and investigator meetings on behalf of clinical data science responsibilities.
- Prepares input, and participates in proposal bid defense meetings and request for proposals on behalf of clinical data science responsibilities.
- Plans for and creates necessary documentation to support internal and external audits; participates in such audits.
- Trains and mentors new or junior team members.
- Maintains proficiency in Clinical Data Science 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%).
- BA/BS in biological sciences, computer sciences, mathematics, data sciences and/or related disciplines in the natural science/health care space.
- Hands on experience with Veeva CDMS and Veeva CDB is required.
- Clinical Data Science experience or an equivalent combination of education and experience.
- Experience in Clinical Data Science practices and relational database management software systems.
- Strong knowledge of the drug development process and its impact on data quality, particularly risk based approach, biometrics procedures, workflows.
- Aptitude for understanding analytic modeling methods such as regression, classification, and clustering.
- Strong project management skills and knowledge of project management methodologies.
- Demonstrated staff leadership skills.
- Knowledge of ALCOA data quality principles.
- Strong experience with protocol interpretation, data collection and cleaning specification development.
- Experienced with data analysis/visualization toolsets including Python, R, Spotfire, SAS.
- Knowledge of medical terminology, clinical data, and ICH/GCP regulatory requirements for clinical studies.
- Proficiency in MS Windows, Word, Excel, PowerPoint, and email applications.
- Effective oral and written communication and presentation skills.
- Good organizational, planning, and time management skills with the ability to multitask under tight deadlines while maintaining attention to detail.
Tasks, duties, and responsibilities as listed in this job description are not exhaustive. The Company, at its sole discretion and with no prior notice, may assign other tasks, duties, and job responsibilities. Equivalent experience, skills, or education will also be considered so qualifications of incumbents may differ from those listed in the Job Description.
The Company is committed to compliance with the Americans with Disabilities Act, including the provision of reasonable accommodations, when appropriate, to assist employees or applicants to perform the essential functions of the job.
SummaryResponsible for end to end coordination of cross functional data collection and cleaning activities to ensure clinical study data deliverables are fit for purpose and align with the executed contract and sponsor expectations and timelines.
About This Role
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