Experienced I Statistical Programmer at Johnson & Johnson

Johnson & Johnson is one of the world’s leading healthcare companies, committed to improving human health through groundbreaking products and services. With a global presence and a history of innovation, the company focuses on developing solutions that address some of the most challenging healthcare needs. Joining the team means becoming part of a diverse organization dedicated to excellence and innovation.

Key Responsibilities of the Role

As an Experienced I Statistical Programmer, you’ll play a critical role in supporting clinical data analysis and reporting activities. Your primary responsibilities include:

1. Programming Development:
   • Design and develop statistical programs to support clinical research analysis and reporting.
   • Create code for medium-to-high complexity tasks with quality and efficiency.
2. Quality Assurance:
   • Conduct quality control and verification of assigned clinical research tasks.
   • Ensure compliance with departmental and company-wide processes.
3. Documentation:
   • Maintain statistical programming documentation in alignment with departmental guidelines.
4. Team Collaboration:
   • Work closely with statistical programming leads, cross-functional teams, and external partners.
   • Contribute to team goals by identifying data gaps and offering innovative solutions.
5. Innovation:
   • Support departmental innovation and process improvement initiatives.

Qualifications and Requirements

To qualify for this role, candidates must possess the following:

• Educational Background:
  • Bachelor’s degree or higher in computer science, mathematics, data science, public health, or a relevant scientific field.
• Experience:
  • 4–6+ years of relevant programming experience in a pharmaceutical or clinical R&D environment.
• Technical Skills:
  • Proficiency in statistical programming languages such as SAS and R (Python is a plus).
  • Deep understanding of data structures and statistical programming processes.
• Regulatory Knowledge:
  • Basic familiarity with guidelines like ICH-GCP and clinical R&D concepts.
• Soft Skills:
  • Strong written and verbal communication skills.
  • Ability to work effectively in a collaborative team environment.

Key Skills Required

1. Expertise in SAS, R, and other programming tools.
2. Strong problem-solving and critical-thinking abilities.
3. Experience in analyzing complex data structures.
4. Good understanding of clinical trial data and regulatory standards.

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