This role pays less than
74%
of similar roles. Most pay
$159,125–$229,362
— the shaded band above.
At the midpoint, this role pays about
$159k
versus about
$194k
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
71 open roles
on FindRole.
Listed pay typically runs
$109,000–$177,100
across 65 roles with salary data.
Principal Data Engineer, Biologics Discovery serves as a technical leader within the Biologics Discovery organization to bridge scientific workflows with data engineering. The role involves designing and delivering AI-ready data products, scientific data models, and integration requirements to support machine learning, analytics, and agentic workflows. You will translate complex scientific needs into durable data assets while ensuring high standards for quality, provenance, and FAIR principles. Key responsibilities include defining schemas, managing metadata, and establishing data contracts in collaboration with scientists and technology partners. The role requires proficiency in Python and SQL, along with experience on cloud platforms like Snowflake, AWS, Azure, or BigQuery. Candidates must possess expertise in data modeling, lifecycle management, and potentially ontologies or knowledge graphs to solve the challenge of transforming experimental research into interconnected, scalable, and usable data for advanced drug discovery.
What does a Data Engineer earn?
Median $162000 from 207 postings across 57 companies.
Design and deliver AI-ready data products that support machine learning and agentic workflows across the Biologics Discovery organization.
Translate scientific requirements from research teams into technical data product specifications, contracts, and delivery requirements.
Develop scalable integration patterns, transformation logic, and data schemas to ensure seamless data exchange between systems.
Establish and enforce standards for data quality, provenance, lineage, and metadata management in accordance with FAIR principles.
Partner with enterprise technology teams to align discovery data needs with corporate standards and infrastructure.
Catalog scientific instruments and data sources to prioritize integration efforts and improve data discoverability.
Serve as a technical leader by conducting architecture reviews, mentoring team members, and performing code reviews.
What we're looking for
Degree in Computer Science, Data Science, Engineering, or a related computational field.
8+ years experience (Bachelor's), 5+ years (Master's), or 3+ years (Ph.D.) designing and delivering data products in pharma, biotech, or life sciences.
Deep proficiency in Python and SQL for building scalable data assets on cloud platforms like Snowflake, AWS, Azure, or BigQuery.
Experience applying FAIR data principles, metadata management, and data lineage in scientific environments.
Demonstrated technical leadership through architecture reviews, mentorship, code reviews, or leading complex initiatives.
Proven ability to lead cross-functional initiatives and establish data standards across multiple stakeholder groups.
Prior technical mentorship or leadership responsibilities (preferred).
Experience with ontologies, semantic technologies, knowledge graphs, or modern software practices like CI/CD and containers (preferred).
Agentic AI
RAG
GraphRAG
Data Pipelines
Workflow Orchestration
MLOps
DevOps
GenAI
Observability
FAIR Data
Ontologies
Lab Automation
Cyber-physical Systems
AI
Machine Learning
Data Science
Laboratory Automation
Digital Twin
Advanced Analytics
Cloud Computing
Process Modeling
Predictive Analytics
Advanced Process Control
Data Engineering
Data Governance
High-Throughput Experimentation
Knowledge Management
Digital Transformation
SCADA
MES
Single use systems
Robotics
HVAC
Cleanroom Design
FMEA
Risk Assessment
Change Control
ISO
USP
Microbial Control
Environmental Monitoring
Pharmaceutical Biotechnology
Remote (Foster City, CA)25 days ago
$169,320–$219,120
Python
PyTorch
JAX
Machine Learning
Deep Learning
Generative Modeling
Protein Language Models
Foundation Models
Geometric Neural Networks
AlphaFold
Active Learning
Multimodal Learning
Representation Learning
Data Integration
Design-Build-Test-Learn