Senior Clinical Data Programmer, Python

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain Python applications, reusable packages, and automation frameworks that facilitate clinical data processing and transformation.

• Spearhead the modernization of current SAS-based programming workflows by creating scalable and maintainable Python solutions.

• Create metadata-driven and configuration-driven solutions for data ingestion, transformation, validation, reconciliation, and reporting.

• Develop and validate data transformation processes that support clinical trial deliverables, including datasets in accordance with CDISC SDTM standards.

• Establish coding standards for Python, implement development best practices, version control, and quality assurance methods.

• Contribute to decisions regarding technical design.

• Collaborate with programming teams located around the globe.

• Share technical knowledge and promote the adoption of Python-based solutions.

⛳️ Requirements

• Bachelor's degree in Computer Science, Life Sciences, or a related field, or equivalent practical experience.

• A minimum of 3 years of professional experience in Python programming.

• Capability to develop production-quality applications and reusable software components.

• Strong expertise in Python development, object-oriented programming, data processing, and automation.

• Experience with libraries such as pandas and NumPy.

• Background in designing maintainable software solutions and working with complex datasets.

• Proficiency in using Git-based version control.

• Strong analytical and problem-solving abilities.

• Familiarity with SAS programming, SAS-to-Python migration, or statistical data processing is a plus but not mandatory.

• Experience in the pharmaceutical, clinical research, CRO, or other regulated data environments, including knowledge of CDISC SDTM standards, is advantageous.

• Excellent written and verbal communication skills in English.

• Ability to collaborate effectively within distributed technical teams.

• Capability to work remotely within the United States.

🏝️ Benefits

• Competitive compensation.

• Comprehensive health, dental, and vision coverage.

• 401(k) retirement plan with company match.

• Paid time off and company holidays.

• Wellness programs and Employee Assistance Program.

• Remote work flexibility within the United States.