Senior Statistical Programmer (ADaM & TLF)
Location: Pune, India (Hybrid)
Job ID: 25109222
Experience Required: 5+ Years
Employment Type: Full-Time
About Syneos Health
Syneos Health is a leading fully integrated biopharmaceutical solutions organization dedicated to accelerating customer success. The company partners with pharmaceutical, biotechnology, and healthcare organizations throughout the drug development and commercialization lifecycle, helping bring innovative therapies to patients worldwide.
With a global team of over 25,000 professionals, Syneos Health combines clinical, medical affairs, and commercial expertise to deliver impactful healthcare solutions.
Position Summary
We are seeking an experienced Senior Statistical Programmer (ADaM & TLF) to support clinical trial programming activities, including the development of ADaM datasets, Tables, Listings, and Figures (TLFs), and validation programming. The ideal candidate will possess strong expertise in SAS programming, CDISC standards, and statistical analysis deliverables within a clinical research environment.
The candidate will also provide technical leadership, oversee programming deliverables, and collaborate closely with Biostatistics, Data Management, and cross-functional study teams to ensure high-quality and regulatory-compliant outputs.
Key Responsibilities
Statistical Programming & Analysis
Develop and maintain SAS programs for:
CDISC ADaM dataset creation
Tables, Listings, and Figures (TLFs)
Derived datasets and analysis outputs
Generate statistical outputs according to Statistical Analysis Plans (SAPs), programming specifications, and sponsor requirements.
Perform validation programming and quality control checks to ensure accuracy and consistency of deliverables.
Resolve programming discrepancies in collaboration with Biostatisticians and project stakeholders.
Study Documentation & Compliance
Maintain complete and inspection-ready study documentation.
Prepare and manage programming specifications, validation plans, QC documentation, and related study files.
Ensure compliance with:
CDISC standards
ICH Guidelines
SOPs and Work Instructions
Regulatory requirements
Project Management
Manage multiple studies and programming activities simultaneously.
Estimate timelines and effort for study deliverables.
Monitor project progress and proactively identify potential risks and mitigation strategies.
Adapt priorities and workload to meet changing project requirements.
Technical Leadership
Act as Lead Statistical Programmer on assigned studies.
Review and provide feedback on:
Statistical Analysis Plans (SAPs)
Annotated CRFs (aCRFs)
Mock shells
Programming specifications
Database designs
Coordinate programming activities and monitor deliverables from junior programmers.
Ensure programming standards and best practices are followed across projects.
Stakeholder Collaboration
Participate in:
Sponsor meetings
Study kickoff meetings
Bid defense meetings
Internal project discussions
Communicate project status, risks, and timelines effectively to stakeholders.
Support cross-functional teams to achieve study objectives.
Mentoring & Knowledge Sharing
Mentor and train junior statistical programmers.
Review programming work and provide constructive feedback.
Develop and deliver training materials and technical sessions.
Contribute to process improvements and departmental initiatives.
Additional Responsibilities
Support study deliverable transfers and project transitions.
Perform other programming-related duties as assigned.
Minimal travel may be required.
Required Qualifications
Education
Bachelor's degree in Statistics, Mathematics, Computer Science, Life Sciences, Pharmacy, Biostatistics, or a related scientific discipline.
Equivalent combination of education and relevant programming experience may be considered.
Experience
Minimum 5+ years of Statistical Programming experience within the Clinical Research, Pharmaceutical, Biotechnology, or CRO industry.
Proven experience supporting Phase I–IV clinical trials.
Technical Skills
Strong proficiency in:
SAS Programming
Clinical Trial Data Analysis
Statistical Reporting
Extensive experience with:
CDISC ADaM Standards
Tables, Listings & Figures (TLF) Generation
Validation Programming
Clinical Data Structures
Preferred Skills
Experience with:
ISS (Integrated Summary of Safety)
ISE (Integrated Summary of Efficacy)
Pooled/Integrated Study Analyses
Knowledge of regulatory submission requirements.
Soft Skills
Strong analytical and problem-solving abilities.
Excellent written and verbal communication skills.
Ability to work independently and collaboratively in a global environment.
Strong organizational and time management skills.
Ability to manage multiple priorities under tight deadlines.
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