Principal Scientist, Biostatistics

Johnson & Johnson

Confirmed live today High trust
Closes in 5 days

Quick summary

Work type
On-site
Location
Raritan, NJSpring House, PA
Salary
$117,000–$201,250 / yr
Posted
2 days ago
Freshness
Confirmed live today
Closes
Sep 19, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $163k
This role $159k
$100k most similar roles pay here $231k

This role pays less than 60% of similar roles. Most pay $130,255–$195,150 — the shaded band above. At the midpoint, this role pays about $159k versus about $163k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 63 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 54 roles with salary data.

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At a glance

TL;DR · Principal Scientist, Biostatistics

Principal Scientist, Biostatistics joins the Statistics & Decision Sciences team to provide expert input on the design and execution of studies for Clinical Development, Medical Affairs, Discovery, and Manufacturing Sciences programs. This role involves performing statistical analysis, interpretation, and reporting of data evidence while collaborating with Quantitative Sciences & Clinical Pharmacology functions to meet business and regulatory commitments. The individual will optimize study designs, perform scenario simulations, and conduct sample size calculations. Key responsibilities include identifying advanced statistical techniques for complex projects and engaging in process improvement initiatives. Required technical skills include proficiency in R, SAS, and other computational tools like East Horizon, RPACT, FACTS, or Python, along with familiarity with artificial intelligence and data-adaptive methods. The role addresses the challenge of integrating quantitative sciences with specific disease requirements to support drug development and health authority standards.

What you'll do

  • Design and execute statistical studies and experiments for clinical development, medical affairs, and manufacturing programs.
  • Perform data analysis and interpretation using R, SAS, and other advanced computational tools.
  • Optimize study designs to improve inferential insights while minimizing time, cost, and risk.
  • Conduct scenario simulations and sample size calculations based on technical and area-specific knowledge.
  • Implement advanced statistical techniques and innovative data-adaptive methods for complex project features.
  • Lead the development of high-quality statistical methodologies in compliance with health authority standards.
  • Build cross-functional partnerships with internal teams and external partners like CROs to ensure project success.
  • Identify and report on scientific trends to drive advancements in statistical methodologies through scholarly publications.

What we're looking for

  • A Master's degree with 6+ years of relevant experience is required.
  • A PhD with 4+ years of relevant experience is required.
  • Proficiency in SAS and R programming is required.
  • Proficiency in other computational tools such as East Horizon, RPACT, FACTS, or Python is required.
  • Excellent interpersonal, verbal, and written communication skills are required.
  • Demonstrated ability to work in interdisciplinary contexts outside of statistics is required.

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