The Statistical Programmer II

We're seeking for a Statistical Programmer II to join our growing clinical programming team. The ideal candidate will have solid SAS programming skills, a strong understanding of CDISC standards, and experience working on global clinical studies. This is an excellent opportunity to contribute to meaningful clinical research in a collaborative and innovative environment.

• Program all tables, listings, and graphs (TLGs) necessary for assigned clinical study reports (CSRs).
• Develop customized data displays (listings, summary tables, and graphics) according to the Statistical Analysis Plan (SAP) and shell displays.
• Write code using Base SAS programs, SAS procedures, or standardized macros.
• Work with Oncology RECIST guidelines and Leukemia studies (preferred).
• Follow CDISC structures for ADaMs and SDTMs, and ICH GCP guidelines.
• Support ISS and ISE studies.
• Create and manage SAS datasets for clinical data, including safety (ADSL, ADAE, ADLB, ADEX, ADVS, ADEG) and efficacy datasets (ADRS, ADEFF, ADTTE).
• Develop project-specific macros and formats.
• Identify and resolve data issues in collaboration with Data Management and Statistics teams.
• Prepare documentation describing datasets, derived variables, and project metadata.
• Collaborate with US time zones to support team activities and sponsor meetings.
• Provide guidance and on-the-job training to junior programmers.
• Track project timelines, deliverables, and communicate risks or issues to clients.

• Bachelor's degree required; Master's degree in Biostatistics, Computer Science, Mathematics, Pharmaceutical Science, or related field preferred.
• At least 5 years of clinical or SAS programming experience.
• Strong SAS programming skills (SAS Base Certified required; Advanced Certification preferred).
• Experience with CDISC ADaM and SDTM standards.
• Excellent communication skills in English (written and verbal).
• Ability to manage multiple projects and meet deadlines.
• Strong analytical skills, attention to detail, and ability to work independently or in a team.
• Experience with Oncology and safety/efficacy datasets is a strong advantage.

• Hybrid work setup (3 days onsite in Taguig, 2 days WFH).
• Collaborative and supportive team culture.
• Opportunities for career growth and training.
• Exposure to global clinical research projects.
• Minimal travel (up to 5%)