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Johnson & Johnson

Statistical Programmer

Johnson & Johnson

Experienced Statistical Programmer at Johnson & Johnson handling clinical research data analysis and reporting. Collaborating across teams to ensure compliance with clinical research standards.

Posted 7/1/2026full-timeBangalore • 🇮🇳 IndiaJuniorMid-LevelWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in programming for clinical research analysis, with proficiency in SAS, R, and Python. Strong understanding of regulatory guidelines and effective collaboration within cross-functional teams.

Highest-signal resume keywords
Programming ExperienceSAS ProgrammingR ProgrammingPython ProgrammingRegulatory Guidelines Knowledge

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
ProgrammingData AnalysisData StructuresClinical Research SupportVerification of Programming Activities
Soft Skills
Excellent Communication SkillsCollaboration
Industry Keywords
PharmaceuticalCROBiotechICH-GCP

Tech Stack

Tools & technologies
Google Cloud PlatformPython

About the role

Key responsibilities & impact
  • Completes and may lead programming trial activities of low to medium complexity
  • Accountable for the design and development of programs in support of clinical research analysis
  • Performs appropriate level of verification of programming and reporting activities
  • Supports submission activities including creation, verification, and delivery of data packages
  • Collaborates effectively with team and cross-functional members

Requirements

What you’ll need
  • Bachelor’s degree or higher in computer science, data science, mathematics, public health, or relevant field
  • 2+ years of relevant programming experience, preferably in Pharmaceutical, CRO or Biotech industry
  • Basic knowledge of regulatory guidelines (e.g. ICH-GCP)
  • Excellent written and verbal communications skills
  • Knowledge of data structures and relevant programming languages (e.g. SAS, R, Python)

Benefits

Comp & perks
  • Inclusive work environment
  • Access to professional development
  • Opportunities for innovation and process improvement