- Develops and validates complex datasets and outputs using SAS programming ensuring compliance with CDISC standards such as ADaM and SDTM models.
- Collaborates with cross-functional teams to optimize statistical programming processes and enhance overall efficiency and accuracy.
- Provides technical guidance and expertise on statistical methodologies to support clinical trial projects and departments.
- Mentors and guides junior programmers fostering their growth and development.
- Contributes to the continuous improvement of programming workflows and departmental standards.
- Ensures high-quality deliverables from the statistical programming department by adhering to best practices and established protocols.
- Leads initiatives to enhance programming tools and techniques driving innovation in statistical programming.
- Partners with leadership to align programming objectives with larger organizational goals.
Preferred candidate profile
- Bachelor's Degree in Statistics Computer Science or related field required.
- Master's Degree in Statistics or Computer Science preferred.
- Capably leads and manages programming teams ensuring adherence to standards and mentoring junior programmers.
- Maintains strict confidentiality of sensitive project data and internal communications.
- Exercises sound judgment and decision-making in selecting statistical methods and programming techniques.
- Effectively manages time and resources to deliver high-quality programming outputs within tight deadlines.
- Executes projects efficiently demonstrating strong project management skills to coordinate tasks and resources effectively.
- Demonstrates robust technical aptitude with a deep understanding of SAS programming and CDISC standards.
- Analyses and interprets financial data accurately to make informed decisions in statistical programming.
- Utilizes robust analytical skills to assess statistical programming requirements and ensure data integrity.
- Applies effective problem-solving skills to overcome programming challenges and optimize workflows.
- Interprets complex statistical data with proficiency ensuring accurate construction and validation of clinical datasets.
- Exhibits strong written communication skills to document programming methodologies and procedures clearly.
- Communicates effectively with cross-functional teams to facilitate collaboration and improve statistical programming processes.
- Inspires and motivates programming teams to align their work with organizational goals and quality standards.