This role pays less than
65%
of similar roles. Most pay
$126,800–$184,900
— the shaded band above.
At the midpoint, this role pays about
$142k
versus about
$156k
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
46 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 42 roles with salary data.
The Senior Scientist, Biostatistics joins the Statistics & Decision Sciences team to support 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 for research, development, and marketed products. The successful candidate will collaborate with cross-functional teams to manage regulatory commitments, optimize study designs, perform scenario simulations, and conduct sample size calculations. Key technical requirements include proficiency in R as the primary language for modeling, evaluation, and visualization, along with skills in SAS, Python, and innovative data-adaptive methods or artificial intelligence tools. The role addresses complex pharmaceutical research and development challenges by applying high-quality statistical methodologies to solve scientific and regulatory problems while ensuring compliance with health authority standards across various disease areas and manufacturing processes.
Statistics
Python
R
Machine Learning
Predictive Modeling
Regression Analysis
Multivariate Analysis
Data Visualization
Tableau
Power BI
Big Data
Business Intelligence
Statistical Process Control
Data Cleansing
Experimental Design
Data Integrity Management
Biostatistics
Statistical Modeling
Data Analytics
Multivariate Statistics
Database Mining
Research Design
Quantitative Methods
Data Cleansing
Program Evaluation
Behavioral Science
Data Compilation