Remote CDM Programmer II Job at Thermo Fisher Scientific – SAS, R & Python | Bangalore

Remote CDM Programmer II Job at Thermo Fisher Scientific – SAS, R & Python | Bangalore | High Salary 2026

Mohit February 01, 2026

✔ Verified by Medical Jobs India

CDM Programmer II Job at Thermo Fisher Scientific | Remote & Bangalore | 4+ Years | 2026

Thermo Fisher Scientific

Remote / Bangalore

4+ Years

Clinical Data Management

SAS · R · Python

Full-Time

📄 Job Overview

Thermo Fisher Scientific, a global leader in clinical research and life sciences, is hiring a CDM Programmer II for its Clinical Data Management team.

This is a fully remote opportunity based in Bangalore, India, offering exposure to global clinical trials, advanced analytics, and automation technologies.

🧪 Job Details – CDM Programmer II

Location: Bangalore, Karnataka (Remote)

Experience: 4+ Years

Employment Type: Full-Time

Develop, maintain, and optimize programs using SAS, R, and Python
Design, build, test, and maintain clinical trial databases and edit checks
Perform data extraction, cleaning, transformation, and validation
Create and test listings for data review
Conduct statistical analysis and hypothesis testing
Automate data processing and reporting workflows
Build reusable macros, scripts, and analytical functions
Ensure data quality, integrity, and GCP compliance
Collaborate with cross-functional clinical teams
Support ad-hoc data analysis and reporting needs

🎓 Eligibility

B.Pharm / M.Pharm / Pharm.D
BSc / MSc – Life Sciences / Statistics
Computer Science or related discipline
Ph.D preferred
Minimum 4+ years CDM / clinical programming experience
Strong understanding of clinical trial data & SOPs

💼 Salary & Benefits

₹12,00,000 – ₹18,00,000 per annum (Estimated CTC)
Fully remote global role
Work on international clinical trials
Advanced analytics & automation exposure
Strong learning culture & career growth

📌 Note Before You Apply:
Kindly read the entire job description carefully before applying. Applying thoughtfully increases your chances of being shortlisted.

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