Sas Programmer Jobs

About The Position

Requirements

• Ability to work in a smaller team environment with a willing, all hands-on deck attitude.
• Ability to manage multiple tasks and be comfortable working in an environment with shifting priorities.
• High attention to detail, accuracy, and quality and able to effectively prioritize multiple projects.
• Flexibility and willingness to learn new techniques and procedures to ensure the successful completion of projects.
• Knowledge of ICH Guidelines, US FDA, and European clinical trial requirements and regulations.
• Excellent written and oral English communication skills required.
• Proficiency in computer programs and specifically in Microsoft office tools including Word, Excel, and PowerPoint.
• Ability to explain mathematical and statistical concepts to non-statistical team members (like clinicians and Clinical Trial Managers).
• Strong analytical mindset with high attention to detail in data trends and anomalies.
• SAS proficiency required: Advanced knowledge of Base SAS, SAS/STAT, SAS/GRAPH, SAS/Macro facility, and SQL.
• CDISC Standards: Hands-on experience implementing SDTM and ADaM models.
• Data Types: Familiarity with Electronic Data Capture (EDC) systems and clinical data structures.
• Statistical Knowledge: solid understanding of core biostatistical methods (e.g., survival analysis, longitudinal data analysis, categorical data analysis).
• Bachelor’s degree in science or health related field.
• Demonstrated 3-4 years minimum relevant experience required.

Nice To Haves

• Experience transitioning or integrating Python code alongside SAS for modern clinical trial analytics a plus.
• Experience in cardiovascular medical device clinical research a plus.
• Experience in registry studies and investigator-initiated studies a plus.

Responsibilities

• Develop, validate, and maintain SAS programs to create SDTM (Study Data Tabulation Model) and ADaM (Analysis Data Model) datasets from raw clinical databases.
• Create and review dataset specifications based on the protocol, and case report forms (eCRFs).
• Draft and implement Statistical Analysis Plan (SAP) and create mock-up shells for Tables, Listings, and Figures (TFLs) under senior guidance.
• Program, test, and validate Tables, Listings, and Figures (TFLs) required for Conferences, Publications, Clinical Study Reports (CSRs), Interim Analysis, Data Monitoring Committees (DMC), and safety monitoring.
• Perform routine statistical analyses (such as descriptive statistics, t-tests, ANOVA, and basic regression modeling) using SAS.
• Ensure strict compliance with CDISC standards (SDTM/ADaM) and internal standard operating procedures (SOPs).
• Perform independent double-programming to validate high-risk datasets and statistical outputs, ensuring 100% accuracy and reproducibility of clinical trial results.
• Assist in writing the statistical methods and results sections for Clinical Study Reports (CSRs), abstracts, and manuscripts.
• Prepare clear, concise summaries of statistical findings for internal project teams and clinical investigators.
• Effectively translate complex statistical requests from principal investigators and biostatisticians into programmatic solutions.
• Manage project deliverables to ensure they remain within the timeline and budget.
• Develop timelines for programming.
• Participate in and lead process improvement activities within the department and cross functionally, including SOP development.
• Work with other clinical research team members on study start-up activities including the development and review of case report forms.
• Manage multiple timelines, protocol amendments, and urgent data requests simultaneously.
• Meticulous approach to data quality and validation code.
• Maintain effective working relationships with principal investigators.
• Work in coordination with Data Management, statisticians, programmer/analysts, clinical research team members, and other team members as required.
• Perform other duties as required for successfully completing studies, as necessary.

Benefits

• bonus