Clinical SAS Programmer

Functional Skills

Functional Skills are essential skills that help individuals perform tasks effectively in everyday life, work, and education.

SAS Programming Proficiency

Clinical Trial Data Management

Statistical Analysis

Regulatory Compliance

CDISC Standards

Data Visualization

Report Generation

Problem-Solving and Debugging

Communication and Collaboration

Data Validation and Quality Control

Soft Skills

Communication, teamwork, and critical thinking to ensure seamless project execution.

Problem-Solving

Communication

Attention to Detail

Time Management

Adaptability

Teamwork and Collaboration

Critical Thinking

Stress Management

Technical Skills

Technical Skills are specialized abilities and knowledge needed to perform specific tasks or functions.

SAS Programming

Clinical Trial Data

CDISC Standards (SDTM, ADaM)

Statistical Analysis

Data Validation and Quality Control

Regulatory Submissions

SAS Macro Programming

Data Visualization

Database Management

Shell Scripting (e.g., Bash)

Duties and Responsiblities

Task

95%

Develop SAS programs for clinical trial data analysis, ensuring accuracy and adherence to regulatory standards.

92%

Validate SAS code and output to ensure data integrity and compliance with study protocols.

90%

Create and maintain SAS datasets from clinical databases, including data cleaning and transformation.

88%

Generate statistical reports and summaries using SAS, adhering to Good Clinical Practice (GCP) guidelines.

85%

Collaborate with biostatisticians and clinical data managers to define programming specifications.

82%

Perform quality control checks on SAS programs and outputs to identify and resolve errors.

80%

Document SAS programs and processes to ensure reproducibility and auditability.

78%

Develop and maintain SAS macros and utilities to improve programming efficiency.

75%

Assist in the preparation of regulatory submissions, including data listings and analysis datasets.

72%

Stay updated with the latest SAS programming techniques and regulatory requirements.

70%

Provide support to other team members on SAS programming issues and best practices.

68%

Participate in the development and validation of new SAS programming tools and techniques.

Work Activities

95%

Develop and validate SAS programs for clinical data analysis and reporting.

92%

Manage and transform clinical trial data using SAS to ensure data integrity.

90%

Perform statistical analyses on clinical data using SAS procedures.

88%

Generate clinical study reports, tables, listings, and figures (TLFs) using SAS.

85%

Prepare and review SAS outputs for regulatory submissions (e.g., FDA, EMA).

82%

Validate SAS programs and outputs to ensure accuracy and compliance.

80%

Adhere to programming standards and best practices for SAS development.

78%

Collaborate with biostatisticians, data managers, and clinical scientists.

75%

Document SAS programs and processes for traceability and reproducibility.

72%

Perform data quality checks and resolve data discrepancies using SAS.

70%

Develop and maintain SAS macros for efficient data processing.

68%

Convert clinical data to SDTM and ADaM standards using SAS.

Detailed Work Profile

Develop SAS programs to analyze clinical trial data, ensuring accuracy and adherence to regulatory standards.

Create and validate datasets for statistical analysis, contributing to the integrity of clinical research outcomes.

Generate reports and visualizations using SAS to communicate clinical trial results effectively to stakeholders.

Collaborate with biostatisticians and clinical data managers to define programming specifications and data requirements.

Perform quality control checks on SAS code and output to identify and resolve programming errors.

Develop and maintain SAS macros and tools to automate repetitive tasks and improve programming efficiency.

Contribute to the development of standard operating procedures (SOPs) for SAS programming and data analysis.

Participate in the review of clinical study protocols and statistical analysis plans to ensure programming feasibility.

Provide technical support and training to other SAS programmers and clinical research staff.

Stay current with industry trends and regulatory guidelines related to clinical data analysis and SAS programming.

Manage and organize clinical trial data using SAS, ensuring data security and compliance with privacy regulations.

Create submission-ready datasets and documentation for regulatory agencies, such as the FDA.

Interests