SAS Statistical Programmer 3

Join our dynamic team and make a lasting impact on patients’ lives through innovative clinical evidence.

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.

Education and Experience        

• 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.

We are committed to making Hologic the company where top talent comes to grow. For you to succeed, we want to enable you with the tools and knowledge required and so we provide comprehensive training when you join as well as continued development and training throughout your career.

If you have the right skills and experience, apply today!

Agencies that submit a resume to Hologic must have a current executed Hologic Agency Agreement executed by a member of the Human Resource Department. In addition Agencies may only submit candidates to positions for which they have been invited to do so by a Hologic Recruiter. All resumes must be sent to the Hologic Recruiter under these terms or they will not be considered.

As part of our commitment to a fair and accurate evaluation of each candidate's qualifications, we require all applicants to refrain from using AI tools, such as generative AI or automated writing assistance, during any stage of the interview process. Responses influenced by AI may result in disqualification. We appreciate your understanding and cooperation in ensuring a transparent and equitable selection process.

#LI-JM1