Lead AI Data Architect for Oncology Data & AI

Johnson & Johnson Innovative Medicine; San Diego (CA); On-site; USD 117,000 - 201,000; Full time

Benefits offered by this job

Performance bonus

Medical and dental benefits

401(k) retirement plan

Vacation and time-off

Job summary

Johnson & Johnson Innovative Medicine is recruiting a Principal Developer, Oncology Data & AI Systems to strengthen the AI-ready data foundation that powers Oncology R&D. You will lead data pipelines, governance, and scalable data products across clinical, pre-clinical, and real-world data platforms.

This role focuses on data science initiatives across Oncology R&D, enabling trusted datasets and data products to accelerate insights and model development. On-site in multiple US locations.

Qualifications

• Bachelor’s degree in CS/Engineering/Life Sciences or related field; advanced degree preferred.
• 5+ years in data engineering, with data modeling, schema design, and architecture.
• Proficient in Python, R, and SQL for large-scale data processing and automation.
• Experience with cloud data platforms, preferably AWS (Redshift, Glue, Lambda).
• Exposure to relational, NoSQL/unstructured, and graph data technologies; strong problem solving.
• Proven cross-functional delivery and vendor coordination experience.
• Strong stakeholder management and ability to translate requirements into deliverables.
• Ability to manage multiple projects with organizational flexibility.

Responsibilities

• Partner with Oncology R&D and Data Science to deliver high-impact data, AI/ML, and GenAI use cases.
• Own end-to-end design, build, and lifecycle management of Oncology R&D data products.
• Integrate multi-modal data across biomarker labs, clinical data, real-world data, and omics platforms.
• Co-develop an AI-ready data ecosystem with cross-functional teams for advanced analytics.
• Translate scientific needs into scalable engineering solutions aligned with data standards.
• Design and optimize pipelines for structured and unstructured data using Python, R, SQL, AWS.
• Implement data quality controls, monitoring, and KPI-driven measurement.
• Maintain data lineage, metadata, and versioning; embed FAIR and regulatory compliance.

Skills

Advanced Analytics

Coaching

Critical Thinking

Data Analysis

Data Privacy Standards

Data Quality

Data Reporting

Data Savvy

Data Science

Data Visualization

Digital Fluency

Econometric Models

Organizing

Process Improvements

Strategic Thinking

Technical Credibility

Workflow Analysis

Education

Bachelor’s Degree in Computer Science, Engineering, Life Sciences, or related field

Tools

AWS

Redshift

Glue

Lambda

NoSQL/Graph databases

Job description

Johnson & Johnson Innovative Medicine is recruiting a Principal Developer, Oncology Data & AI Systems to strengthen the AI-ready data foundation that powers Oncology R&D. You will lead data pipelines, governance, and scalable data products across clinical, pre-clinical, and real-world data platforms.

This role focuses on data science initiatives across Oncology R&D, enabling trusted datasets and data products to accelerate insights and model development. On-site in multiple US locations.