CDM Programmer II (Python, R, and SAS Programming)
Location: Bangalore, Karnataka, India
Job ID: R-01340819
Employment Type: Full-Time
Work Mode: Fully Remote
Category: Clinical Research / Clinical Data Management
About the Organization
Thermo Fisher Scientific is a global leader in scientific research and clinical development, supporting pharmaceutical and biotechnology companies in bringing life-changing therapies to market. Through its PPD® clinical research portfolio, the organization delivers high-impact clinical research services across more than 100 countries, having supported over 2,700 clinical trials in recent years. The Clinical Research Services team is driven by scientific excellence, innovation, and operational rigor.
Job Overview
The CDM Programmer II will provide advanced programming and technical support for clinical data management (CDM) activities across global clinical trials. This role involves working with Python, R, and SAS to support database development, data validation, listings creation, automation, and process optimization. The position is ideal for professionals with strong analytical skills who thrive in a collaborative, multi-disciplinary clinical research environment.
Key Responsibilities
Clinical Data Programming & Management
Design, build, test, and maintain clinical trial databases and edit checks
Define, import, and validate clinical data from multiple sources
Develop, create, and test listings for data review in line with study requirements
Perform programming activities in accordance with project timelines, SOPs, and contractual requirements
Act as lead programmer on studies of simple to moderate complexity under guidance
Programming & Analytics
Develop, maintain, and optimize programs using Python, R, and SAS
Perform data extraction, cleaning, transformation, and validation
Conduct statistical analyses including regression, hypothesis testing, and multivariate analysis
Build reusable scripts, macros, and functions for analytics and reporting
Automate data processing and reporting workflows to improve operational efficiency
Quality, Compliance & Documentation
Ensure data quality, integrity, and compliance with GCPs and applicable SOPs
Create and maintain clear technical documentation for code, processes, and outputs
Identify and resolve technical and programming-related issues
Support audits, inspections, and internal quality reviews as required
Collaboration & Process Improvement
Work closely with cross-functional teams including clinical data management, biostatistics, and clinical operations
Translate business and study requirements into effective programming solutions
Participate in departmental process improvement initiatives
Contribute to the development of informal training materials and knowledge sharing
Education & Experience Requirements
Bachelor’s degree or equivalent in Life Sciences, Computer Science, Statistics, Data Science, or a related discipline
Minimum 4+ years of relevant experience in clinical data programming or clinical data management
Equivalent combinations of education, training, and directly related experience may be considered
Required Skills & Competencies
Technical Skills
Strong working knowledge of SAS, R, and Python
Experience with relational database systems (RDBMS) and data structures
Solid understanding of clinical trial data standards and CDM processes
Strong knowledge of statistics, including regression and hypothesis testing
Professional Skills
Excellent written, verbal, and interpersonal communication skills
Strong attention to detail with proven problem-solving abilities
Ability to manage multiple priorities and meet tight deadlines
Demonstrated initiative, motivation, and accountability
Ability to work effectively in a global, multi-disciplinary project team
Delivery-focused with a strong commitment to quality and compliance
Working Conditions
Fully remote work environment
Standard work schedule (Monday to Friday)
Occasional domestic or international travel may be required based on project needs
Why Join Thermo Fisher Scientific?
Work on global clinical trials with leading pharmaceutical and biotechnology organizations
Be part of a scientifically driven, innovation-focused clinical research team
Gain exposure to large-scale, complex clinical data environments
Access continuous learning, professional development, and career growth opportunities
Contribute directly to advancing therapies that address critical global health challenges
Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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Baddi | Solan |Rajasthan :
Banasthali | Bhiwadi | Jaipur | Pilani | Udaipur |Karnataka :
Bangalore | Belgaum | Bengaluru | B.G Nagara | Bommasandra | Colorado | Czech Republic | Karnataka | Mangaluru | Mysore | Udupi |Punjab :
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Delhi | India | New Delhi | PAN-India |Assam :
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Hajipur | Patna |Kerala :
Kannur | Kochi | Malappuram | Thiruvananthapuram | Trivandrum |Pondicherry (Puducherry) :
Pondicherry (Puducherry) |Jharkhand :
Ranchi |Sikkim :
Rangpo |India :
Siliguri |Illinois :
Abbott Park | Bloomingdale | Champaign | Chicago | Deerfield | Glenview | Lake Forest | Lombard | Naperville | Norridge | Park RIdge | Round Lake |Maryland :
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