CDM Programmer-II

Roles & Responsibilities:
• Develop, maintain, and optimize programs using Python, R, and SAS for clinical trial data management
• Design, build, test, and maintain clinical trial databases and edit checks
• Perform data extraction, cleaning, transformation, and validation
• Create and test listings for data review according to project requirements
• Conduct statistical analysis, hypothesis testing, and predictive modeling
• Automate data processing and reporting workflows to enhance efficiency
• Build reusable macros, scripts, and analytical functions
• Ensure data quality, integrity, and compliance with GCP guidelines
• Collaborate with cross-functional clinical teams to deliver projects on time
• Participate in process improvement initiatives and support ad-hoc data analysis and reporting requests

Qualification:
• Bachelor’s degree (Life Sciences, Statistics, Computer Science, or related field) or equivalent combination of education and experience

Experience:
• 4+ years of relevant experience in clinical data management or programming
• Proven experience with SAS, R, and Python in clinical research settings
• Familiarity with CDMS and GCP-compliant clinical trials

Skills:
• Strong programming skills in SAS, R, and Python
• Solid understanding of statistics including regression, multivariate analysis, and hypothesis testing
• Excellent problem-solving, analytical, and documentation skills
• Ability to manage multiple projects and meet tight deadlines
• Effective communication and collaboration skills with cross-functional teams
• Team-oriented mindset with potential for leadership

About the Organization:
Thermo Fisher Scientific is a global leader in life sciences and clinical research, providing innovative solutions for drug development and clinical trials. With extensive experience supporting 2,700+ clinical trials across 100+ countries, the company offers professionals the opportunity to work on cutting-edge clinical data management projects in a fully remote, collaborative environment, contributing to high-quality clinical research worldwide.