IQVIA India is actively recruiting Lab Data Management Trainee – Python professionals for its clinical data teams across PAN India, including Bengaluru. This is an excellent opportunity for B.Pharm, B.Tech, and life sciences graduates looking to build a career in clinical data management, Python programming, and pharma analytics.
With a strong global presence in healthcare analytics and clinical research, IQVIA offers exposure to real-world clinical trials, laboratory data systems, and regulatory workflows.
📌 Job Highlights
- Role: Lab Data Management Trainee – Python
- Experience: 0–1 Year (Freshers Eligible)
- Location: PAN India (Hybrid – Bengaluru focus)
- Job Type: Full-time
- Industry: Clinical Data Management / Pharma / IT
🚀 Key Responsibilities
- Perform Python programming for clinical lab data processing and analysis
- Support Laboratory Data Management (LDM) activities across study lifecycle
- Review, validate, and process clinical laboratory datasets
- Create and maintain data management documentation
- Conduct quality checks and edit checks on clinical data
- Ensure compliance with SOPs, regulatory guidelines, and data standards
- Collaborate with internal teams, clients, and stakeholders
- Assist in data transmission, reporting, and issue resolution
- Support study setup, execution, and database lock processes
🎓 Eligibility Criteria
- Educational Qualification:
- B.Pharm, B.Tech, B.E, or related life sciences degree
- Skills Required:
- Basic Python programming
- Understanding of clinical data management concepts
- Data analysis and problem-solving skills
- Good communication and teamwork abilities
💼 Why Join IQVIA? (Benefits)
- Work with a global leader in clinical research and healthcare analytics
- Gain hands-on experience in clinical trials & lab data systems
- Exposure to Python in pharma data workflows
- Structured training and career growth opportunities
- Hybrid work flexibility and international project exposure
📥 How to Apply
📧 Ready to Grow Your Career?
Share your CV at bharathi.n@iqvia.com

