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Principal Programmer in Statistics
2 months ago
Aligning our values allows us to achieve remarkable outcomes.
The Principal Statistical Programmer is recognized as a leading authority, offering technical guidance and expert insights to both internal teams and external partners. This role operates independently to facilitate various programming tasks associated with the analysis and reporting of clinical trial data. Furthermore, the Principal Statistical Programmer may assume the role of Statistical Programming Lead on projects, collaborating with sponsors, Biostatistics Leads, Data Management Leads, and other relevant departments as necessary. Additionally, this position involves overseeing quality, timelines, resource distribution, and productivity in relation to financial plans.
Required Knowledge and Experience:
- Proficient in both written and spoken English.
- Exceptional communication abilities.
- Demonstrated success in leading teams within a clinical statistical programming context (minimum 5 years experience)
Key Skills:
- Strong analytical capabilities
- Advanced project management proficiency
- In-depth knowledge of SAS programming methodologies (STDM, ADaM, CDISC), etc.
- Comprehensive understanding of the programming and reporting workflow.
- Familiarity with SOPs/Guidelines, ICH-GCP, and other relevant local and international regulations such as 21 CFR Part 11.
- Insight into efficacy endpoints and analysis methods pertinent to the specific disease being addressed.
- Capacity to adapt to new systems and thrive in a dynamic technical landscape.
- Strong organizational skills, adept at managing competing priorities, and adaptable to change.
- Meticulous attention to detail.
- Ability to effectively lead and mentor a global team.
- Work efficiently in a quality-driven environment.
- Excellent time management skills to meet daily targets or team goals.
- Commitment to delivering consistently high-quality work.
- Strong operational skills, including customer focus, dedication to quality management, and problem-solving abilities.
- Demonstrated commitment to enhancing quality processes.
- Effective presentation skills.
- Ability to negotiate and influence outcomes to achieve objectives.
- Strong business acumen, including financial awareness.
- Client-centric approach to work.
- Proficient negotiation skills.
Educational Background:
- Degree in a relevant field or equivalent professional experience.
Core Responsibilities:
Project Management:
- Capability to assume the Statistical Programming Lead role on projects.
- Input into and negotiate statistical programming timelines, ensuring adherence to deadlines.
- Coordinate and guide a statistical programming team to successful project completion within specified timelines and budget constraints.
- Monitor project resources, budgets, and identify scope changes. - Oversee project initiation activities, creation of global programs, tracking documents, and other necessary paperwork.
- Review statistical analysis plans and mock-shells.
- Evaluate database setup specifications.
- Provide leadership, project-specific training, stakeholder management, external sponsor support, resource management, and project oversight for the programming tasks associated with clinical trial activities.
- Engage with sponsors and internal stakeholders regarding statistical programming matters.
- Assist project teams in resolving challenges encountered in their daily operations.
Statistical Programming for Assigned Projects:
- Deliver optimal value and high-quality service.
- Continuously verify own work to ensure first-time quality.
- Employ efficient programming techniques to produce/QC derived datasets (e.g., SDTM, ADaM), tables, figures, and data listings.
- Generate/QC dataset specifications and other supporting documentation for processes and submissions.
- Ensure quality control (QC) is conducted on all processes and technical activities related to derived datasets, tables, data listings, and figure programming in accordance with corporate quality standards, SOPs/Guidelines, ICH-GCP, and/or other international regulatory requirements.
Training and Development:
- Maintain and enhance local and international regulatory knowledge within the clinical sector.
- Develop expertise in Clinical Data Management Systems (CDMS), Electronic Data Capture (EDC), Clinical Trial Management System (CTMS), Safety Reporting, SAS, and processes/procedures within other Parexel functional areas.
- Provide relevant training and mentorship to staff and project teams.
- Lead knowledge-sharing sessions and actively support the development of the broader department.
General Responsibilities:
- Maintain all supporting documentation for studies in accordance with SOPs/Guidelines to ensure traceability and regulatory compliance.
- Ensure adherence to SOPs/Guidelines, ICH-GCP, and any other applicable local and international regulations, and participate in internal/external audits and regulatory inspections as required.
- Actively engage in and/or lead process and quality improvement initiatives.
- Provide consultancy to internal and external sponsors regarding statistical programming tasks.
- Represent Parexel at sponsor marketing and technical meetings.
- Assess technology and processes to facilitate best practices and enhance quality, efficiency, and productivity.
- Represent Statistical Programming in cross-functional technical initiatives.
- Understand regulatory requirements concerning industry technical standards (e.g., CDISC, 21 CFR Part 11, and electronic submissions).