Statistical Programmer II (Remote – India)
Location: India – Remote
Job ID: 25104091
Updated: Yesterday
About the Role
Syneos Health is hiring a Statistical Programmer II to support global clinical development programs through advanced statistical programming, data analysis, and quality-driven deliverables. This remote position offers the opportunity to contribute to major biopharmaceutical studies while collaborating with cross-functional teams in a dynamic and technology-driven environment.
As part of a leading integrated biopharmaceutical solutions organization, you will work within a model designed to streamline and accelerate the delivery of clinical therapies worldwide.
Key Responsibilities
Perform statistical programming tasks using SAS, R, and other analytical tools to create data listings, summary tables, graphs, and derived datasets.
Conduct validation programming to ensure accuracy, consistency, and adherence to project requirements.
Apply CDISC standards, including domain knowledge and metadata specification development.
Utilize diverse data sources, including historical trial data, real-world datasets, biomarker data, and disease-specific data.
Maintain complete, organized, and audit-ready documentation following SOPs, Work Instructions, and regulatory guidelines such as ICH.
Collaborate with Biostatisticians, Statistical Programmers, and other team members to resolve discrepancies and optimize programming processes.
Manage workload across multiple projects, ensure timely delivery, and adapt to changing timelines and priorities.
Contribute to dataset and output specification development with a focus on accuracy and quality.
Participate in internal meetings, sharing insights and supporting team-based problem solving.
Provide support during deliverable transfers and assist with additional assigned tasks.
Minimal travel may be required.
May serve as Lead Statistical Programmer on assigned studies.
Experience Required
3–5 years of clinical SAS programming experience in a pharmaceutical, CRO, or clinical research environment.
Intermediate to advanced programming proficiency in R; experience with Python is beneficial.
Strong experience applying CDISC standards and developing metadata specifications and derivations.
Experience working with multiple data types, including real-world evidence, biomarker data, and historical trial datasets.
Demonstrated ability to meet timelines, multitask, and manage priorities across projects.
Education & Skills
Bachelor’s degree in a scientific, statistical, or related discipline; equivalent experience may be considered.
Proficiency in SAS and related programming tools used in clinical trials.
Strong analytical, organizational, and documentation skills.
Excellent verbal and written communication abilities.
Ability to read, write, understand, and communicate in English.
Why Join Syneos Health
Global workforce of 29,000 professionals across 110 countries.
Opportunities for continuous career development, technical training, and advancement.
Supportive leadership, collaborative culture, and peer recognition programs.
Commitment to an inclusive workplace through the organization’s Total Self culture.
Proven impact in the biopharmaceutical industry, supporting 94% of FDA-approved novel drugs and 95% of EMA-authorized products over the past five years.
Additional Information
Responsibilities listed above are not exhaustive. Syneos Health may assign additional duties as needed. Equivalent education or experience may be considered based on organizational standards. The company upholds regulatory, equality, and accessibility guidelines, including ADA compliance and EU Equality Directive requirements.
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