We are seeking a Senior Clinical Data Programmer (Python) to help modernize our clinical data programming technology. In this remote, US-based role, you will develop scalable Python solutions, transform existing SAS-based workflows, and build reusable frameworks supporting clinical trial data delivery. This is an opportunity for an experienced Python engineer to influence our long-term technology strategy while expanding their expertise in clinical research. Join us in shaping the future of clinical data programming.
What We Offer- 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
What You'll Be Doing- 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 We Look For- 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.
