As a Senior SAS Programmer, you will be responsible for utilizing the SAS software suite to process, analyze, and report on data, ensuring the accuracy and reliability of statistical results. You will collaborate with cross-functional teams to support data-driven decision-making processes and contribute to the development of statistical analysis plans, programs, and protocols.
Key Responsibilities: Data Analysis and Programming:
- Develop, validate, and execute SAS programs for data extraction, transformation, and statistical analysis.
- Perform complex data manipulations, including merging, sorting, and aggregating large datasets.
- Generate tables, listings, and figures (TLFs) to summarize and present analytical results.
- Conduct statistical modeling and hypothesis testing as required.
Quality Assurance:
- Ensure the accuracy and consistency of data by conducting quality checks and validating analysis results.
- Follow best practices for programming and maintain a well-documented codebase.
- Review and QC programs and outputs generated by junior programmers.
Collaboration:
- Collaborate with cross-functional teams, including statisticians, data scientists, clinical researchers, and project managers.
- Communicate effectively with team members and stakeholders to understand project requirements and deliverables.
Regulatory Compliance:
- Stay up-to-date with industry standards and regulatory guidelines (e.g., FDA, ICH) to ensure data integrity and compliance.
- Contribute to the preparation of regulatory submissions by providing statistical outputs and documentation.
Project Management:
- Manage multiple projects simultaneously, ensuring timelines and deliverables are met.
- Provide mentorship and guidance to junior SAS programmers as needed.
Documentation:
- Prepare and maintain documentation, including analysis plans, data dictionaries, and programming specifications.
- Assist in the development of standard operating procedures (SOPs) related to SAS programming.
Qualifications:
- Bachelor's or Master's degree in a relevant field (e.g., Statistics, Computer Science, Mathematics).
- 6 - 8 years of experience in SAS programming, with a proven track record of working on complex data analysis projects.
- Pharma/biotech/medical device/CRO experience.
- Proficiency in SAS programming, including BASE SAS, SAS/STAT, SAS/MACRO, and SAS/GRAPH.
- strong background in statistical analysis and data management.
- Familiarity with clinical trial data and CDISC standards is often preferred.
- Strong problem-solving skills and attention to detail.
- Excellent communication and interpersonal skills.
- Ability to work both independently and collaboratively within a team.
- Knowledge of other programming languages (e.g., R, Python) is a plus.