below marketmost similar roles pay hereabove market
This role pays less than
57%
of similar roles. Most pay
$164,951–$235,487
— the blue band above.
At the midpoint, this role pays about
$186k
versus about
$200k
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
38 open roles
on FindRole.
Listed pay typically runs
$117,000–$201,250
across 33 roles with salary data.
The Senior Manager, Data Transformation joins the J&J Research and Development Data, Data Science, and AI team to lead the development and operationalization of scalable, governed clinical and omics data products. This role involves owning the end-to-end data product lifecycle, transforming raw data into interoperable, AI-ready assets for neuroscience studies. Key responsibilities include designing data models for AI-extracted clinical data, optimizing Nextflow/Tower pipelines, and establishing reusable modules for proteomics, transcriptomics, metabolomics, and spatial omics. The position requires proficiency in Python, Bash, AWS S3, Snowflake, and TileDB, alongside experience with CDISC SDTM/ADaM, FHIR, and OMOP formats. The work focuses on improving interoperability between discovery and clinical data layers to accelerate scientific insights and knowledge extraction for neurodegeneration, neuropsychiatry, and ophthalmology research.
Remote (Raritan, NJ)+34 days ago
$137,000–$235,750
Data Science
Real-World Evidence
Machine Learning
Predictive Modeling
Statistics
Bioinformatics
Epidemiology
Computational Biology
Electronic Health Records
Administrative Claims
R&D
Digital Health
Python
SQL
Snowflake
AWS
Azure
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Data Engineering
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CI/CD
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Orchestration
Machine Learning
AI
Data Governance
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FAIR Data Principles
Python
Machine Learning
SQL
NLP
Data Science
Deep Learning
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Statistical Modeling
Data Lakes
Cloud Platforms
A/B Testing
Information Retrieval
Sentiment Analysis
Topic Modeling
Classification
Data Engineering