SAS Statistical Programmer 3

Hologic•San Diego, CA

1d•$102,500 - $160,300•Hybrid

About The Position

The Statistical Programmer 3 leads development and validation of analysis datasets, tables, figures, and listings to ensure high-quality outputs that meet study and project requirements. The role manages programming timelines across multiple projects, works with Clinical Affairs to align CRF and database design with analysis needs, and provides ad-hoc reports to support trial monitoring and project teams. This is a hybrid role requiring onsite presence in San Diego, California, at least three days per week. The incumbent may also perform other function-related activities as reasonably required by business needs. The role includes maintaining expertise in current programming techniques, learning new techniques, reviewing and approving study-specific documents, contributing to SOPs and work instructions, recommending process improvements, and assisting with training and mentoring junior team members. The annualized base salary range is $102,500–$160,300, and the role is bonus eligible. Compensation depends on factors including relevant experience, skills, knowledge, geography, education, business needs, and market demand. Hologic provides comprehensive onboarding training and continued development and training throughout the employee’s career.

Requirements

Bachelor's degree in Statistics, Epidemiology, or a related quantitative discipline and at least 5 years of progressive, relevant experience; or a master's degree in a related field and at least 3 years of progressive, relevant experience.
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 510(k) submissions, as well as GCP and ICH guidelines.
Knowledge of infectious disease, cancer, genomics, and common public health issues.
Experience in technical writing.
Working knowledge of basic statistics and ability to implement statistical ideas in clear, efficient code for data analysis and reporting.

Responsibilities

Develop and validate programs that generate analysis datasets, tables, figures, and listings according to the statistical analysis plan and programming specifications.
Ensure outputs meet quality standards and project requirements.
Keep project team members informed about programming progress and issues requiring their attention.
Work with Clinical Affairs project team members to ensure CRF and database design meets analysis needs.
Provide ad-hoc requests and reports to help monitor trial progression and meet project team needs.
Manage schedules and time constraints across multiple projects, adapting to timeline or priority changes by reorganizing daily workload.
Maintain expertise in current programming techniques and actively learn new techniques.
Review and approve study-specific documents.
Provide input on Data Management and Statistical Programming SOPs and work instructions.
Recommend and implement continuous process improvement ideas.
Develop and maintain programming specifications according to the statistical analysis plan.
Assist in training and mentoring new or junior team members.