Senior Biostatistician, Oncology Trials & Decisions

6084-Janssen Research & Development, LLC Legal Entity

Raritan (NJ)

On-site

USD 109,000 - 175,000

Full time

3 days ago
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Job summary

Johnson & Johnson is seeking a Senior Scientist, Biostatistics to join the Oncology Statistics team in Late Clinical Development. You will provide statistical support for oncology projects and contribute to design, analysis, and reporting of clinical trials.

The role requires a PhD or Master’s in statistics, strong knowledge of SAS and R, excellent communication, and ability to collaborate with internal teams and external partners.

Qualifications

  • Ph.D. in Statistics or related field with 0–2 years of relevant experience.
  • Master’s in Statistics or related field with commensurate experience.
  • Analytical mindset and curiosity; eagerness for translating data into business-critical evidence.
  • Ability to work independently and in interdisciplinary teams.
  • Excellent written and verbal English communication.
  • Proficiency in SAS and R programming.

Responsibilities

  • Provide statistical support for projects in oncology in Late Clinical Development.
  • Contribute statistical input for study design, analysis, and reporting of data evidence for research and regulatory commitments.
  • Advocate for appropriate statistical methods and demonstrate knowledge of statistics, modeling and computational tools.
  • Participate in trainings and workshops with colleagues and external partners.
  • Engage with the scientific community by attending conferences and collaborating with external partners.

Skills

Biostatistics
Clinical Trials
SAS Programming
R Programming
Statistics
GCP
QA
Data Quality
Analytical mindset
Communication

Education

PhD in Statistics or related field
Master’s in Statistics or related field

Tools

SAS
R

Job description

Johnson & Johnson is seeking a Senior Scientist, Biostatistics to join the Oncology Statistics team in Late Clinical Development. You will provide statistical support for oncology projects and contribute to design, analysis, and reporting of clinical trials.

The role requires a PhD or Master’s in statistics, strong knowledge of SAS and R, excellent communication, and ability to collaborate with internal teams and external partners.

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