CDM Programmer II (Python, R, and SAS Programming) – Clinical Data Management
Location: Bangalore, Karnataka, India
Job ID: R-01340819
Job Type: Full-Time
Category: Clinical Research
Work Mode: Fully Remote
Work Schedule: Standard (Monday–Friday)
Work Environment: Office-Based
Job Overview
A global leader in clinical research services within Thermo Fisher Scientific is seeking a skilled CDM Programmer II to support clinical data management and programming operations. This role is responsible for developing analytical solutions, managing clinical databases, and optimizing data workflows using Python, R, and SAS programming.
The successful candidate will work within cross-functional clinical research teams to support data analysis, statistical modeling, and process automation initiatives. The position plays a critical role in ensuring data quality, regulatory compliance, and operational excellence in global clinical trials.
Key Responsibilities
Develop, maintain, and optimize analytical programs using Python, R, and SAS.
Perform data extraction, cleaning, transformation, and validation from multiple data sources.
Conduct statistical analysis, hypothesis testing, and predictive modeling.
Design, build, and test clinical project databases and edit checks.
Define, import, and validate clinical data within data management systems.
Create and test data listings for review and perform programming activities aligned with project requirements.
Automate data processing and reporting workflows to improve operational efficiency.
Develop reusable scripts, macros, and functions for analytics and reporting.
Ensure data integrity, quality standards, and regulatory compliance across projects.
Provide documentation for code, processes, and analytical outputs.
Collaborate with stakeholders to translate business and research requirements into analytical solutions.
Support ad-hoc data analysis, reporting requests, and process improvement initiatives.
Participate in departmental training activities and contribute to procedural documentation.
Lead studies of simple to moderate complexity under supervision and resolve technical challenges effectively.
Technical Skills and Competencies
Strong programming expertise in Python, R, and SAS.
Working knowledge of relational database management systems (RDBMS) and database structures.
Solid understanding of statistical methodologies, including regression, hypothesis testing, and multivariate analysis.
Strong data management, validation, and automation capabilities.
Excellent written, verbal, and technical communication skills.
Strong attention to detail and analytical problem-solving abilities.
Ability to manage multiple projects and adapt to changing priorities.
Knowledge of Good Clinical Practice (GCP) guidelines and applicable standard operating procedures (SOPs).
Demonstrated ability to identify and resolve technical issues in professional environments.
Strong collaboration skills and ability to work within multidisciplinary teams.
Project management capabilities, including budget tracking and risk management.
Educational Qualifications and Experience Required
Bachelor’s degree or equivalent academic or vocational qualification in life sciences, statistics, computer science, or a related discipline.
Minimum 4+ years of relevant experience in clinical data management, statistical programming, or clinical research programming.
Practical experience with clinical databases, data validation processes, and regulatory compliance requirements is preferred.
Equivalent combinations of education, training, and directly related experience may be considered.
Working Conditions
Work performed in an office-based environment with exposure to standard office equipment.
Occasional travel to site locations, including domestic and international travel, may be required depending on project needs.
Uttar Pradesh :
Agra | Gajraula | Gautam buddha Nagar | Ghaziabad | Gorakhpur | Greater Noida | Jhansi | Lucknow | Mathura | Noida | Park City | Prayagraj | Satyamev | Varanasi |Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
Airoli | Ambernath | Amravati | Aurangabad | Dhule | Dombivali | Jalgaon | Kolhapur | Kurkumbh | Kurla | Madhapur | Mumbai | Nagpur | Nashik | Navi Mumbai | Pune | Pune city | Shirpur | Tandalja | Tarapur | Thane | Vikhroli | Yerawada |Haryana :
Ambala | Gurugram | Haryana | Hisar | Kurukshetra | Panchkula | Rohtak | Shivalik |Andra Pradesh :
Anakapali | Anantapur | Bhimavaram | Chittoor | Guntur | Gurgaon | Kakinada | Mangalagiri | Nellore | Pydibimavaram | Tirupathi | Vijayawada | Visakhapatnam |Tamil Nadu :
Annamalainagar | Chennai | Coimbatore | Erode | Madurai | Nagercoil | Ooty | Pudupakkam | Srivilliputtur | Tamil nadu | Tiruchirappalli | Trichy | Vellore | Yogyakarta |Himachal Pradesh :
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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