Role Overview:

As a Software Development Manager (Python & R programmer) at our company, you will be a mid-senior individual contributor responsible for independently delivering clinical data programming, transformation, and review solutions in support of global clinical trials. Your role will involve hands-on expertise in Python and R, a strong understanding of clinical data standards, and the ability to work with minimal supervision while collaborating closely with Data Managers, Clinical Programmers, Statisticians, and Medical Reviewers throughout the study lifecycle.

Key Responsibilities:

• Independently develop and maintain Python and R programs for clinical data cleaning, data transformation, data review, and analysis.
• Support downstream clinical data programming activities as defined in the Data Management Plan (DMP).
• Create and maintain data review listings, metrics, and utilities to support ongoing study conduct and database lock activities.
• Perform detailed clinical data quality checks, trend analysis, and issue identification.
• Support ongoing data review, reconciliation, and query resolution.
• Ensure programming outputs meet accuracy, traceability, and audit readiness requirements.
• Actively support interim and final database lock deliverables.
• Apply and interpret CDISC standards (SDTM) in programming and data review.
• Ensure compliance with ICH-GCP, 21 CFR Part 11, and internal SOPs.
• Follow validated programming and documentation practices.
• Contribute to inspection-ready deliverables.
• Work closely with Data Managers, Clinical Programmers, Statisticians, and Medical Reviewers.
• Participate in cross-functional discussions related to data issues, timelines, and deliverables.
• Provide technical input during study start-up, conduct, and close-out phases.
• Develop reusable Python/R utilities and scripts to improve efficiency.
• Contribute to process automation, standardization, and innovation initiatives.
• Identify opportunities to reduce manual effort in data review and reporting.

Qualifications Required:

• Strong hands-on experience in Python and R.
• Proficiency with Python libraries such as Pandas and NumPy, and R for statistical analysis and data exploration.
• Strong SQL skills.
• Proven experience working with clinical trial data.
• Solid understanding of CDISC/SDTM standards.
• Experience in regulated clinical data environments.

About the Company:

IQVIA is a leading global provider of clinical research services, commercial insights, and healthcare intelligence to the life sciences and healthcare industries. They create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. IQVIA is committed to integrity in their hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in applications must be truthful and complete to ensure a fair recruitment process. Role Overview:

As a Software Development Manager (Python & R programmer) at our company, you will be a mid-senior individual contributor responsible for independently delivering clinical data programming, transformation, and review solutions in support of global clinical trials. Your role will involve hands-on expertise in Python and R, a strong understanding of clinical data standards, and the ability to work with minimal supervision while collaborating closely with Data Managers, Clinical Programmers, Statisticians, and Medical Reviewers throughout the study lifecycle.

Key Responsibilities:

• Independently develop and maintain Python and R programs for clinical data cleaning, data transformation, data review, and analysis.
• Support downstream clinical data programming activities as defined in the Data Management Plan (DMP).
• Create and maintain data review listings, metrics, and utilities to support ongoing study conduct and database lock activities.
• Perform detailed clinical data quality checks, trend analysis, and issue identification.
• Support ongoing data review, reconciliation, and query resolution.
• Ensure programming outputs meet accuracy, traceability, and audit readiness requirements.
• Actively support interim and final database lock deliverables.
• Apply and interpret CDISC standards (SDTM) in programming and data review.
• Ensure compliance with ICH-GCP, 21 CFR Part 11, and internal SOPs.
• Follow validated programming and documentation practices.
• Contribute to inspection-ready deliverables.
• Work closely with Data Managers, Clinical Programmers, Statisticians, and Medical Reviewers.
• Participate in cross-functional discussions related to data issues, timelines, and deliverables.
• Provide technical input during study start-up, conduct, and close-out phases.
• Develop reusable Python/R utilities and scripts to improve efficiency.
• Contribute to process automation, standardization, and innovation initiatives.
• Identify