SAS Statistical Programmer 3

The Statistical Programmer 3 is responsible for leading the development and validation of analysis datasets, tables, figures, and listings, ensuring outputs meet high-quality standards. Additionally, this role manages multiple project timelines, collaborates with Clinical Affairs to align database design with analysis needs, and provides ad-hoc reports. This is a hybrid role requiring onsite presence in San Diego, CA, at least 3 days per week., The incumbent may be asked to perform other function-related activities in addition to the below mentioned responsibilities as reasonably required by business needs.

• Develops and validates programs that generate analysis datasets, tables, figures, and listings as specified in the statistical analysis plan and programming specifications.
• Works to ensure that outputs meet quality standards and project requirements.
• Keeps project team members informed of programming progress and issues requiring their attention.
• Works with other projects team members in Clinical Affairs to ensure CRF and database design meets analysis needs.
• Provides ad-hoc requests and reports to help monitor trial progression and meet project team needs.
• Manages scheduling and time constraints across multiple projects and adapts to timeline or priority changes by reorganizing daily workload.
• Maintains expertise in current programming techniques and actively learns new techniques.
• Review and approve study specific documents.
• Provides input on Data Management SOPs and Statistical Programming SOPs and work instructions. Recommends and implements continuous process improvement ideas.
• Develops and maintains programming specifications according to the statistical analysis plan.
• Assists in training and mentoring new or junior team members.

• Bachelor’s degree in Statistics, Epidemiology, or a related quantitative discipline and 5+ years of progressive, relevant experience; or Master’s degree in a related field and 3+ years of progressive, relevant experience.

Skills

• Advanced knowledge of SAS; experience with statistical software packages such as R or Python.
• Problem-solving mindset.
• Working knowledge of CRF and database structure, including attribute assignment and logic checking.
• Knowledge of FDA regulatory requirements for IDE, BLA, PMA and 510K submissions; also, GCP and ICH guidelines.
• Knowledge of infectious disease, cancer, genomics, and common public health issues.
• Experience in technical writing.
• Working knowledge of basic statistics. Capable of implementing these ideas in clear, efficient code for data analysis and reporting.

The annualized base salary range for this role is $102,500 - $160,300 and is bonus eligible. Final compensation packages will ultimately depend on factors including relevant experience, skillset, knowledge, geography, education, business needs and market demand.