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About the role
Key responsibilities & impact- Develop and validate complex datasets and outputs using SAS programming, ensuring compliance with CDISC standards such as ADaM and SDTM models
- Collaborate with cross-functional teams to optimize statistical programming processes and improve efficiency and accuracy
- Provide technical guidance on statistical methodologies for clinical trial projects and departments
- Mentor and guide junior programmers
- Contribute to continuous improvement of 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
Requirements
What you’ll need- Bachelor's Degree in Statistics, Computer Science or related field required
- Master's Degree in Statistics or Computer Science preferred
- Ability to lead/manage others and programming teams
- Ability to maintain confidential information
- Excellent judgment and decision-making skills
- Ability to work within tight timeframes and meet strict deadlines
- Demonstrated project management skills
- Strong technical aptitude and deep understanding of SAS programming and CDISC standards
- Ability to analyze and interpret financial data
- Demonstrated analytical and problem-solving skills
- Ability to interpret complex statistical data
- Demonstrated written communication skills
- Strong verbal communication and listening skills
Benefits
Comp & perks- Incentive plans, bonuses, and/or other forms of compensation may be offered
- Health and welfare benefits may be offered