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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Python application development, data processing, and automation frameworks, with a strong focus on clinical data transformation and adherence to CDISC SDTM standards. Proven ability to lead modernization efforts and collaborate effectively within distributed teams.
Highest-signal resume keywords
Python ProgrammingData TransformationCDISC SDTM StandardsGit Version ControlAnalytical Problem-Solving
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Python DevelopmentObject-Oriented ProgrammingData ProcessingAutomation FrameworksReusable Software ComponentsMetadata-Driven SolutionsConfiguration-Driven SolutionsData ValidationData ReconciliationProduction-Quality Applications
Soft Skills
Analytical SkillsProblem-SolvingWritten CommunicationVerbal CommunicationCollaboration
Tools & Technologies
PandasNumPySAS ProgrammingGit
Industry Keywords
Clinical ResearchPharmaceuticalCRORegulated Data Environments
Tech Stack
Tools & technologiesNumpyPandasPython
About the role
Key responsibilities & impact- Design, develop, and maintain Python applications, reusable packages, and automation frameworks supporting clinical data processing and transformation
- Lead modernization of existing SAS-based programming workflows by developing scalable, maintainable Python solutions
- Build metadata-driven and configuration-driven solutions for 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
- Contribute to technical design decisions
- Collaborate with programming teams across global locations
- Share technical expertise and drive adoption of Python-based solutions
Requirements
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
- Ability to develop production-quality applications and reusable software components
- Strong proficiency in Python development, object-oriented programming, data processing, and automation
- Experience with libraries such as pandas and NumPy
- Experience designing maintainable software solutions and working with complex datasets
- Experience using Git-based version control
- Analytical and problem-solving skills
- 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
- Ability to collaborate effectively within distributed technical teams
- Ability to work remotely within the United States
Benefits
Comp & perks- 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