Medical Affairs-Assistant Manager/Deputy Manager

Job Description:

Position Overview:

We are looking for a skilled and detail-oriented Clinical SAS Programmer to join our team in a clinical research environment. The ideal candidate will have experience developing and validating SAS programs for clinical trials and a strong understanding of statistical analysis. This role requires expertise in SAS programming, particularly with advanced features and SAS Macro language, along with excellent communication skills.

Key Responsibilities:

• Develop, test, and validate SAS programs to support clinical research and analysis in clinical trials.
• Use statistical analysis skills to generate datasets, tables, listings, and figures for clinical study reports.
• Ensure SAS programs and outputs meet regulatory and client requirements.
• Utilize SAS Macro language and other advanced programming techniques to improve coding efficiency and data analysis.
• Work closely with clinical research teams to provide programming support, including data validation and reporting.
• Document and maintain all programming work in a clear and organized way to ensure reproducibility.
• Identify and solve any programming issues or discrepancies in datasets and analysis outputs.
• Stay updated on regulatory guidelines and standards such as FDA, EMEA, and ICH GCP in clinical trials.
  
  

Required Skills and Qualifications:

• Proven experience as a Clinical SAS Programmer, preferably in a pharmaceutical or clinical research organization.
• Strong background in developing and validating SAS programs for clinical research.
• Good understanding of statistical analysis and its application in clinical trials.
• Proficiency in using SAS Macro language and other advanced SAS programming techniques.
• Strong attention to detail and problem-solving skills.
• Excellent communication skills, both written and verbal, to collaborate with teams and present results.
• Ability to work independently and manage multiple tasks in a fast-paced environment.
  
  

Qualifications:

• Bachelor's or Master's degree in Computer Science, Statistics, Life Sciences, or a related field.