Senior Standards Engineer
About The Position
The Senior Standards Engineer ensures the accuracy and integrity of statistical programming across clinical projects. The role requires SAS programming proficiency and familiarity with CDISC standards, particularly ADaM and SDTM models. The engineer develops and validates complex datasets and outputs, collaborates with cross-functional teams to optimize processes, and provides technical guidance on statistical methodologies and programming best practices. The position also mentors junior programmers, improves programming workflows and standards, supports high-quality departmental deliverables, leads initiatives to enhance programming tools and techniques, and partners with leadership to align programming objectives with organizational goals.
Requirements
- Bachelor's degree in Statistics, Computer Science, or a related field.
- Proficiency in SAS programming and a strong understanding of CDISC standards.
- Ability to lead and manage programming teams, adhere to standards, and mentor junior programmers.
- Ability to maintain the confidentiality of sensitive project data and internal communications.
- Strong judgment and decision-making skills, including selecting statistical methods and programming techniques.
- Ability to manage time and resources and meet strict deadlines.
- Demonstrated project management skills.
- Strong analytical and problem-solving skills, including assessing programming requirements and ensuring data integrity.
- Ability to interpret complex statistical data and accurately construct and validate clinical datasets.
- Strong written communication skills for documenting programming methodologies and procedures.
- Strong verbal communication and listening skills for collaborating with cross-functional teams.
- Ability to motivate programming teams to align with organizational goals and quality standards.
- Ability to analyze and interpret financial data.
Nice To Haves
- Master's degree in Statistics or Computer Science.
Responsibilities
- Develop and validate complex datasets and outputs using SAS, ensuring compliance with CDISC standards such as ADaM and SDTM.
- Collaborate with cross-functional teams to improve statistical programming efficiency and accuracy.
- Provide technical guidance on statistical methodologies for clinical trial projects and departments.
- Mentor and guide junior programmers.
- Improve programming workflows and departmental standards.
- Ensure high-quality statistical programming deliverables by following best practices and established protocols.
- Lead initiatives to enhance programming tools and techniques.
- Partner with leadership to align programming objectives with organizational goals.
Benefits
- Health and welfare benefits may be offered, depending on the position.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
