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# Senior Clinical Data Programmer (Python)

- **Company:** eResearchTechnology, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Big Data, Clinical Data Repository, Data Transformation, Python (Programming Language), NumPy, Object-Oriented Software Development, SAS (Software), Data Processing, Data Ingestion, Git, Fastapi, Pandas, Information Technology, Software Version Control
- **Published:** October 31, 2026
- **Apply:** https://diversityjobs.com/career/18803575/Senior-Clinical-Data-Programmer-Python

## About the Role

* 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.
 * Familiarity with SAS programming, SAS-to-Python migration, or statistical data processing is advantageous but not required.
 * Experience in pharmaceutical, clinical research, CRO, or other regulated data environments, including familiarity with CDISC SDTM standards, is an advantage.
 * Strong written and verbal English communication skills and ability to collaborate effectively within distributed technical teams.
 * Ability to work remotely within the United States.

## Description

* 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.