Senior Python Programmer - Clinical Data Management

Sr Python Programmer (Clinical/Pharma/Healthcare)

IQVIA is a leading global provider of advanced analytics, technology solutions and contract research services to the life sciences industry. Formed through the Merger of IMS Health and Quintiles, IQVIA applies human data science – leveraging the analytic rigor and clarity of data science to the ever-expanding scope of human science – to enable companies to reimagine and develop new approaches to clinical development and commercialization, speed innovation, and accelerate improvements in healthcare outcomes. Powered by the IQVIA CORE, we deliver unique and actionable insights at the intersection of large-scale analytics, transformative technology, and extensive domain expertise as well as execution capabilities. With approximately 86,000+ employees, we conduct operations in more than 100 countries.

IQVIA has also featured in FORTUNE’s 2026 List of “World’s Most Admired Companies”. At IQVIA, you will have the opportunity to build your career, while helping our customers drive human health outcomes forward. We dedicate our experience, resources, and reputation so that you can drive your career and choose the path that best defines your development and success.
Project Role: Software Devl Analyst 2 (Python & R Programmer)
Work Experience: 5 to 8 Years 
Work location: Bengaluru.
Work Mode: Hybrid
Must Have Skills: Python is mandatory skill along with Clinical Data Management or Clinical Domain

Job Description
Role Summary
The Software Devl Analyst 2 (Python & R programmer) is a mid senior individual contributor responsible for independently delivering clinical data programming, transformation, and review solutions in support of global clinical trials.
This role requires hands on expertise in Python and R, 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. 
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Key Responsibilities
Clinical Data Programming & Delivery
•    Independently develop and maintain Python and R programs for: 
o    Clinical data cleaning
o    Data transformation
o    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
Data Review & Quality Oversight
•    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

Standards, Compliance & Best Practices
•    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

Cross Functional Collaboration
•    Work closely with: 
o    Data Managers
o    Clinical Programmers
o    Statisticians
o    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 

Automation & Continuous Improvement
•    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
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Required Skills & Qualifications
Technical Skills (Mandatory)
•    Strong hands on experience in Python and R
•    Proficiency with: 
o    Python: Pandas, NumPy
o    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
Tools & Systems
•    Clinical data systems (EDC / CDB / CDMS)
•    Data review and reporting tools
•    Version control systems (e.g., Git)
•    Experience supporting data ingestion and transformation workflows
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Education
•    Bachelor’s or Master’s degree in: 
o    Computer Science
o    Statistics
o    Data Science
o    Life Sciences
o    Engineering
(or equivalent practical experience)
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Nice to Have (Grade 140 Expectations)
•    Ability to read and interpret SAS programs
•    Exposure to Veeva, Oracle, Rave, or similar EDC platforms
•    Experience with ETL processes
•    Dashboarding / visualization exposure (Power BI, Tableau)
•    Prior experience supporting global or complex clinical studies
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Behavioural & Professional Competencies
•    Works independently with minimal supervision
•    Strong analytical and problem solving skills
•    High attention to detail and data quality
•    Effective communication with cross functional stakeholders
•    Demonstrates ownership, accountability, and delivery focus
•    Adaptable to changing study and project needs

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

Experience Level

Senior Level