Senior Clinical Data Programmer (Python)

Overview

Senior Clinical Data Programmer (Python) to help modernize clinical data programming technology, developing scalable Python solutions and transforming existing SAS-based workflows to support clinical trial data delivery.

What you'll do

• Design, develop, and maintain Python applications, reusable packages, and automation frameworks supporting clinical data processing and transformation.
• Lead the modernization of existing SAS-based programming workflows by developing scalable, maintainable Python solutions in collaboration with experienced clinical data programmers.
• Build metadata-driven and configuration-driven solutions to automate data ingestion, transformation, validation, reconciliation, and reporting.
• Develop and validate data transformation processes supporting clinical trial deliverables, including datasets aligned with CDISC SDTM standards.
• Establish Python coding standards, development best practices, version control, and quality assurance approaches while contributing to technical design decisions.
• Collaborate with programming teams across global locations, share technical expertise, and help drive the adoption of Python-based solutions.

What you'll need

• Bachelor's degree in Computer Science, Life Sciences, or a related field, or equivalent practical experience.
• At least 3 years of professional Python programming experience, with demonstrated ability to develop production-quality applications and reusable software components.
• Strong proficiency in Python development, object-oriented programming, data processing, and automation, including experience with libraries such as pandas and NumPy.
• Experience designing maintainable software solutions, working with complex datasets, and using Git-based version control.
• Demonstrated analytical and problem-solving skills, with the ability to understand existing workflows and develop practical technical solutions.
• Strong written and verbal English communication skills and ability to collaborate effectively within distributed technical teams.
• Ability to work remotely within the United States.

Nice to have

• Familiarity with SAS programming, SAS-to-Python migration, or statistical data processing.
• Experience in pharmaceutical, clinical research, CRO, or other regulated data environments, including familiarity with CDISC SDTM standards.

Details

• Location: United States, remote.
• Remote work flexibility within the United States.