Description
The Principal Stat Programmer plays a critical role in ensuring the accuracy and integrity of statistical programming across various clinical projects.
This position demands proficiency in SAS programming and familiarity with CDISC standards, particularly ADaM and SDTM models.
Key responsibilities include:
- Developing and validating complex data sets and outputs using SAS programming, ensuring compliance with CDISC standards such as ADaM and SDTM models.
- Collaborating with cross-functional teams to optimize statistical programming processes and enhance overall efficiency and accuracy.
- Providing technical guidance and expertise on statistical methodologies to support clinical trial projects and departments.
- Mentoring and guiding junior programmers, fostering their growth and development.
- Contributing to the continuous improvement of programming workflows and departmental standards.
- Ensuring high-quality deliverables from the statistical programming department by adhering to best practices and established protocols.
- Leading initiatives to enhance programming tools and techniques, driving innovation in statistical programming.
- Partnering with leadership to align programming objectives with larger organizational goals.
The role requires:
- Bachelor's Degree in Statistics, Computer Science or related field
- 2+ years working with efficacy analysis (Adam datasets & TLF's) and/or 4+ years on ADAM statistical programming on clinical trials.
- Experience in Immunology or Neuroscience therapeutic area will be highly valued
- Proficiency in SAS programming language
- Proficiency in R programming language
- English Advanced
- Ability to lead/manage others
- Demonstrated ability to maintain confidential information, 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.
- Applies effective problem-solving skills to overcome programming challenges and optimize workflows.
- Exhibits strong written and verbal communication skills to document programming methodologies and procedures clearly to facilitate collaboration and improve statistical programming processes with cross-functional teams.
- Inspires and motivates programming teams to align their work with organizational goals and quality standards.