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Assoc II Stat Programmer

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Hybrid

Assoc II Stat Programmer

Johnson & Johnson

Assoc II Stat Programmer

Skills

Google Cloud PlatformData EngineeringData ScienceData AnalysisWorkdayProcess ImprovementCompliance

5 days ago

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Important information


Contract type:

Permanent

Work mode:

Hybrid

Published on:

16 October 2026

What they need


At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Biostatistics

Job Category:

Scientific/Technology

All Job Posting Locations:

Chiyoda, Tokyo, Japan

Job Description:

Position Summary:

The Associate Programmer is an individual contributor with basic knowledge of data structures, programming languages, and programming methods. The associate supports data analyses and reporting and trial activities within clinical or statistical programming functional areas in accordance with departmental processes and procedures.

This position is a member of the programming team, capable of supporting activities of low complexity with appropriate guidance and may contribute to departmental innovation and process improvement projects.

Principal Responsibilities:

  • Completes programming trial activities of low complexity and/or criticality, with high quality and timeliness of deliverables.

  • Designs and develops programs in support of clinical analysis and reporting activities.

  • May support submission activities including but not limited to creation, verification, and delivery of CDISC compliant and/or non-standard data packages.

  • Performs activities in accordance with departmental processes and procedures.

  • Performs appropriate quality control and verification in support of clinical analyses and reporting activities.

  • Performs review and provides feedback on project requirements and documentation.

  • Collaborates effectively with team and cross-functional members.

  • Ensures continued compliance with required company and departmental training, time reporting and other business/operational processes as required for position.

  • May contribute to departmental innovation and process improvement projects.

Principal Relationships:

This role reports into a people manager position within the Delivery unit and is accountable to the Portfolio and Study Leads for assigned activities and responsibilities.

  • Functional contacts within IDAR include but are not limited to: Leaders and leads in Data Management and Central Monitoring, Programming Leads, Clinical Data Standards, Regulatory Medical Writing Leads, and system support organizations.

  • Functional Contacts within J&J Innovative Medicine (as collaborator or peer) include but are not limited to: Statistics, Clinical, Global Medical Safety, Project Management, Regulatory, Strategic Partnerships, Human Resources.

  • External contacts include but are not limited to external partners, CRO management and vendor liaisons, industry peers and working groups.

Education and Experience Requirements: Bachelor’s degree or higher and/or equivalent in computer science, mathematics, data science/data engineering/analytics, public health, or other relevant scientific field (or equivalent theoretical/technical depth).

Required Skills:

Preferred Skills:

Advanced Analytics, Analytical Reasoning, Biological Sciences, Biostatistics, Data Modeling, Data Privacy Standards, Data Savvy, Detail-Oriented, Execution Focus, Good Clinical Practice (GCP), Project Support, Report Writing, Research Ethics, Researching, Statistical Analysis Systems (SAS) Programming, Statistics, Technologically Savvy

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