This role pays more than
77%
of similar roles. Most pay
$177,250–$266,050
— the shaded band above.
At the midpoint, this role pays about
$269k
versus about
$222k
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
61 open roles
on FindRole.
Listed pay typically runs
$109,000–$177,100
across 57 roles with salary data.
Sr Director, R&D Data, Data Science & AI - Multiomics leads a multidisciplinary team of data scientists and computational biologists to harmonize, integrate, and analyze multi-modal Omics datasets across the research pipeline. The role involves building reusable, governed pipelines, developing cell atlas constructions, and creating AI-ready data products for target discovery and disease-biology understanding. Key responsibilities include establishing enterprise-wide standards for genomics, transcriptomics, proteomics, and spatial technologies while ensuring FAIR data practices. The position requires expertise in Python, R, NextFlow workflows, metadata/ontology frameworks, and data governance. Candidates must navigate complex biological problems such as perturbation response modeling and patient stratification to accelerate drug development programs. This role bridges the gap between raw data ingestion and advanced analytical interpretation, utilizing machine learning and computational biology to drive scientific impact across various therapeutic areas and functions.
Data Governance
Data Strategy
Data Architecture
Master Data Management
Metadata Management
Data Quality
Data Lifecycle Management
Artificial Intelligence
Machine Learning
Deep Learning
Data Science
Statistical Analysis
Time Series Analysis
Data Visualization
Data Product Management
Analytics Strategy
AI
Machine Learning
Generative AI
Advanced Analytics
Python
R
Scala
Java
Databricks
AWS
Azure
MLOps
Causal Inference
Optimization
Predictive Modeling
Data Engineering
Model Governance
Data Science
Machine Learning
Advanced Analytics
Python
R
SQL
Tableau
Power BI
Snowflake
AWS
Generative AI
Large Language Models
Natural Language Processing
Statistical Modeling
Knowledge Management
Responsible AI
Data Visualization
Workday