Statistical Programmer II - PRO at Parexel

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Statistical Programmer II - PRO at Parexel. Location Information: India-Hyderabad-Remote. . When our values align, there's no limit to what we can achieve.. . At Parexel, we all share the same goal - to improve the world's health. From clinical trials to regulatory, consulting, and market access, every clinical development solution we provide is underpinned by something special - a deep conviction in what we do.. Each of us, no matter what we do at Parexel, contributes to the development of a therapy that ultimately will benefit a patient. We take our work personally, we do it with empathy and we're committed to making a difference.. This role supports the generation of evidence from patient-reported outcomes across multiple therapeutic areas, with a strong emphasis on oncology. The ideal candidate will have hands-on experience with clinical trial data, deep familiarity with PRO instruments, and strong SAS programming skills. Knowledge of CDARS and experience working in a global, cross-functional environment are essential.. Key Responsibilities. Develop, validate, and maintain SAS programs for PRO data analysis, including derivation of endpoints, generation of TLFs, and QC of outputs . Collaborate with statisticians, study leads, and cross-functional teams to interpret protocols and SAPs, define specifications, and deliver high-quality outputs . Support the development and maintenance of standard templates and macros for common PRO instruments (e.g., EQ-5D, EORTC QLQ-C30, FACT-G) . Participate in the creation and refinement of guidance documents, SOPs, and training materials for PRO programming workflows . Ensure compliance with internal quality standards and regulatory expectations, including documentation of programming logic and QC processes . Engage in biweekly PRO team meetings to share updates, troubleshoot issues, and align on priorities . Required Qualifications. Bachelor’s or Master’s degree in Statistics, Biostatistics, Computer Science, or a related field. 3–5 years of experience in statistical programming with a focus on clinical trial data and PRO endpoints . Proficiency in SAS; working knowledge of R is a plus. Strong understanding of CDARS and familiarity with CDISC standards. Experience with multiple therapeutic areas; oncology experience is highly preferred . Ability to work independently and collaboratively across time zones in a multicultural environment . Preferred Qualifications. Familiarity with regulatory guidance on PROs and clinical outcome assessments. Experience with automation tools and version control systems (e.g., Git). Exposure to project management tools like Monday.com. .