CDM Programmer II – Python, R, and SAS Programming
Company: Thermo Fisher Scientific (PPD Clinical Research Services)
Location: Bangalore, India | Fully Remote
Job Type: Full-Time | Remote
Work Schedule: Standard (Mon–Fri)
Experience: Typically 4+ Years (Clinical Data Management / Statistical Programming / Data Analytics)
Qualification: Bachelor’s Degree in Statistics, Computer Science, Life Sciences, or Related Discipline
Salary Range: Not Specified
Job Overview
Thermo Fisher Scientific is seeking a CDM Programmer II with strong programming expertise in Python, R, and SAS to support clinical trial data management, statistical analysis, and data automation initiatives.
The CDM Programmer II will work with clinical data management systems and programming tools to support database development, data validation, statistical analysis, and process automation within clinical research projects. The role involves collaborating with cross-functional teams to analyze complex datasets, develop analytical models, and deliver data-driven insights that support clinical trial operations and decision-making.
This position plays an important role in ensuring high-quality clinical trial data, improving analytical workflows, and enabling efficient data processing and reporting throughout the clinical development lifecycle.
Key Responsibilities
1. Analytical Programming & Data Processing
Develop, maintain, and optimize analytical programs using Python, R, and SAS.
Create scripts and automated workflows for data extraction and transformation.
Perform data cleaning and preprocessing to prepare datasets for analysis.
Develop reusable functions, macros, and scripts for analytics and reporting.
Ensure efficient and scalable programming solutions for data analysis tasks.
2. Data Extraction, Transformation & Validation
Extract clinical and operational datasets from multiple data sources.
Perform data transformation and validation to ensure consistency and accuracy.
Validate datasets for completeness, integrity, and compliance with project requirements.
Ensure proper integration of datasets from different clinical trial systems.
Support quality checks and validation processes within the clinical data pipeline.
3. Statistical Analysis & Modeling
Conduct statistical analyses including hypothesis testing and regression modeling.
Apply statistical techniques to analyze clinical trial data and operational datasets.
Develop predictive models and analytical frameworks to support decision-making.
Perform multivariate analysis and statistical modeling where applicable.
Interpret analytical results and communicate insights to project teams.
4. Clinical Database Development & Programming Support
Design and support the development of clinical trial databases.
Develop and test edit checks used for validating clinical trial data.
Define and import data into clinical data management systems.
Create and test data listings and reports for data review activities.
Ensure database programming aligns with project specifications and timelines.
5. Workflow Automation & Process Improvement
Automate data processing, analysis, and reporting workflows.
Identify opportunities to streamline analytical and programming processes.
Develop tools and scripts that improve operational efficiency.
Participate in initiatives focused on improving clinical data management processes.
Implement best practices in programming and data management.
6. Study-Level Programming Support
Act as lead programmer for simple to moderately complex studies with appropriate supervision.
Support programming activities related to clinical trial data review and reporting.
Resolve technical and programming challenges using analytical problem-solving skills.
Apply new programming knowledge and techniques to support evolving project needs.
Assist in the development of departmental knowledge and programming expertise.
7. Compliance, Documentation & Quality Assurance
Ensure compliance with departmental SOPs and internal quality standards.
Maintain documentation for analytical code, processes, and outputs.
Ensure programming activities follow regulatory requirements and industry guidelines.
Maintain knowledge of clinical trial regulatory standards including those from the
International Council for Harmonisation of Technical Requirements for Pharmaceuticals for Human Use.
Support quality control processes related to data management and statistical analysis.
Required Skills
Programming & Data Analytics
Strong programming experience using:
Python
R
SAS
Ability to develop scripts and automation tools for data processing and analysis.
Experience working with relational databases and structured datasets.
Ability to troubleshoot programming issues and optimize analytical workflows.
Statistical & Analytical Knowledge
Strong understanding of statistical methods including:
Regression analysis
Hypothesis testing
Multivariate analysis
Ability to apply statistical techniques to complex datasets.
Experience interpreting statistical results for analytical reporting.
Clinical Data Management Expertise
Understanding of clinical trial data collection and management processes.
Knowledge of clinical database development and data validation workflows.
Experience working with data listings and clinical trial datasets.
Ability to ensure accuracy and integrity of clinical data.
Problem Solving & Technical Skills
Strong analytical and problem-solving abilities.
Attention to detail when validating datasets and programming logic.
Ability to resolve technical issues in programming environments.
Capability to manage moderately complex programming tasks.
Project Management & Collaboration
Ability to manage multiple assignments and meet project deadlines.
Experience working within multidisciplinary clinical research teams.
Strong communication skills when translating technical findings to stakeholders.
Ability to collaborate with cross-functional teams across different departments.
Preferred Qualifications
Experience working within pharmaceutical or CRO clinical research environments.
Experience supporting clinical trial data analysis projects.
Familiarity with Electronic Data Capture (EDC) systems.
Knowledge of clinical trial regulatory requirements and data standards.
Experience developing reusable analytics frameworks or reporting tools.
Key Competencies
Clinical data programming and analytical automation
Statistical analysis and predictive modeling
Clinical database development and data validation
Data extraction, transformation, and integration
Programming workflow optimization and efficiency improvements
Cross-functional collaboration within clinical research teams
About the Company
Thermo Fisher Scientific is a global leader in scientific services and technologies, supporting research, drug development, and healthcare innovation worldwide.
Through its clinical research division, PPD Clinical Research Services, the organization provides end-to-end clinical trial services including clinical operations, data management, regulatory affairs, and medical writing.
Operating in more than 100 countries with over 100,000 employees globally, the company partners with pharmaceutical and biotechnology organizations to accelerate the development of innovative therapies and deliver life-changing treatments to patients around the world.
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Hajipur | Patna |Kerala :
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Siliguri |Illinois :
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