[Innovative Medicine] R&D, Scientist Biostatistics, Statistics & Decision Sciences Japan, Global Dev

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Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 .

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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 Scientist supports the design and execution of studies and experiments for Clinical Development and Medical Affairs programs at J&J Innovative Medicines (J&J IM), with evolving supervision.

Activities associated with the role require guidance from managers and project statisticians in Statistics & Decision Sciences (SDS).

Support is provided to statistical analysis, interpretation, and reporting or communication of data evidence towards programs for research, development, and/or marketed product needs in J&J IM.

The position collaborates with Quantitative Sciences & Clinical Pharmacology (QSCP) functions and other drug development scientists.

This role supports statistical aspects of key business and regulatory commitments and assists program plans.

The Scientist practices J&J leadership principles and values aligned with the company's Credo and purpose.

Principal Responsibilities

Expertise:


* Exhibits effective proficiency in data analytics, grounded in statistical principles that lead to successful study support.

Demonstrates competence in utilizing pertinent computational tools for research objectives related to studies, experiments, or trials, including proficiency in R and SAS, along with familiarity with other relevant computational tools including innovative data-adaptive methods and artificial intelligence.


* Applies high quality statistical methodology in assigned projects in compliance with health authority standards.

Acts with accountability, agility, and transparency.

Assists in providing experimental design, modeling, analysis planning, analysis execution, interpretation, and statistical communications support.

Understands and aligns with relevant regulatory guidance.


* Acquires and demonstrates knowledge of drug development processes.

Provides input in optimizing study designs to meet objectives, and supports scenario simulations and sample size calculations informed by technical and disease/scie...