Principal Data Engineer, Biologics Discovery - AI-Ready Data

Johnson Johnson; Pennsylvania; On-site; USD 150,000 - 190,000; Full time

Job summary

Johnson & Johnson Innovative Medicine is hiring a Principal Data Engineer for the Biologics Discovery group. You will shape discovery data products, data models, and schemas to enable AI-ready analytics and ML workflows. You’ll collaborate with scientists and AI/ML teams to deliver durable data assets across cloud platforms.

You will lead data standards, governance, and interoperability, ensuring trusted data products scale across enterprise partnerships and forthcoming AI initiatives.

Qualifications

• Degree in Computer Science, Data Science, Engineering, or a related computational field.
• 8+ years (Bachelor's), 5+ years (Master's), or 3+ years (Ph.D.) of experience designing and delivering data products, data models, and analytics-ready datasets within pharmaceutical, biotechnology, or life sciences organizations.
• Deep proficiency in Python and SQL, with hands-on experience designing and implementing reusable and scalable data assets on cloud data platforms (e.g., Snowflake, AWS, Azure, BigQuery) to support analytics, machine learning, and AI-driven workflows.
• Experience applying FAIR data principles, metadata management, controlled vocabularies, data lineage, and provenance practices in scientific data environments.
• Demonstrated technical leadership through architecture reviews, mentorship, code reviews, or leadership of complex technical initiatives.
• Proven ability to lead complex cross-functional technical initiatives and establish data standards across multiple stakeholder groups.

Responsibilities

• Design and deliver AI-ready discovery data products that support ML, AI, and insight generation across Biologics Discovery.
• Define and lead the delivery of scalable integration requirements, transformation patterns, and data schemas that support discovery data acquisition, harmonization, and downstream analytics.
• Translate scientific and analytical requirements from discovery teams into data product specifications, data contracts, acceptance criteria, and delivery requirements.
• Define access and data consumption patterns that enable analytics, modeling, and agentic AI workflows, aligned with industry data standards and frameworks.
• Catalog discovery instruments, data types, and data sources to inform data product prioritization and sustainable integration approaches.
• Establish, champion, and drive adoption of standards and best practices for discovery data products, including data quality, provenance, lineage, reproducibility, metadata, and documentation.
• Partner with ontology, data architecture, platform, and AI teams to ensure discovery data products are connected, discoverable, and suitable for advanced analytics, ML, and agentic AI applications.

Skills

Python

SQL

Snowflake

AWS

Azure

BigQuery

Data modeling

Data governance

Education

Bachelor's degree in Computer Science

Master's degree in Data Science

PhD in a related field

Tools

Snowflake

AWS

Azure

BigQuery

Job description

Johnson & Johnson Innovative Medicine is hiring a Principal Data Engineer for the Biologics Discovery group. You will shape discovery data products, data models, and schemas to enable AI-ready analytics and ML workflows. You’ll collaborate with scientists and AI/ML teams to deliver durable data assets across cloud platforms.

You will lead data standards, governance, and interoperability, ensuring trusted data products scale across enterprise partnerships and forthcoming AI initiatives.