Johnson & Johnson is hiring an Associate Clinical Programmer to support SDTM programming, clinical data analysis, and regulatory reporting across global clinical trials. This role is ideal for candidates with SAS programming knowledge, an interest in biostatistics, and a strong foundation in clinical research data standards.
As part of the Data Analytics & Computational Sciences – Biostatistics function, you will contribute to CDISC-compliant datasets, support data cleaning, and assist in clinical trial reporting while working in a collaborative, innovation-driven environment.
📌 Key Responsibilities
- Perform SDTM and clinical programming activities of low to moderate complexity
- Develop and validate SAS programs for clinical analysis and reporting
- Support CDISC-compliant data package creation for regulatory submissions
- Program edit checks, listings, and visualizations for data cleaning and review
- Conduct quality control (QC) and verification of clinical datasets
- Review specifications and ensure Data Review Model (DRM) accuracy
- Collaborate with Data Management, Biostatistics, and Medical Monitoring teams
- Ensure compliance with GCP, SOPs, and internal training requirements
🎓 Education & Qualifications
- Bachelor’s degree or higher in:
- Computer Science
- Statistics / Mathematics
- Data Science / Analytics
- Public Health or related scientific discipline
🧠 Required Skills
- Basic to intermediate knowledge of SAS programming (mandatory)
- Understanding of clinical trial data structures
- Familiarity with SDTM, CDISC standards, and biostatistics concepts
- Exposure to R or Python is an advantage
- Strong analytical, documentation, and communication skills
- Ability to work effectively in a team-based clinical research environment
⭐ Preferred Skills
- Clinical Programming & Statistical Reporting
- Good Clinical Practice (GCP)
- Data Privacy & Research Ethics
- Advanced Analytics & Data Modeling
- Report Writing & Cross-functional Collaboration
💼 Why Join Johnson & Johnson?
- Work with a global healthcare innovation leader
- Exposure to end-to-end clinical trial programming
- Hybrid work model with global project experience
- Competitive compensation and career growth opportunities
- Strong emphasis on training, ethics, and innovation
📝 How to Apply

