Senior Manager – Workflow, Applications & Plug-ins Team

Scorpion Therapeutics; Spring House (PA); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Johnson & Johnson Innovative Medicine seeks a Senior Manager to lead the Workflow, Applications, and Plug-ins team within Data Science. You will shape GenAI applications for R&D and guide the design of reusable scientific workflows.

The role requires a Master's in AI/ML or related field, 3+ years GenAI experience, and strong Python/API/cloud skills, with a track record of delivering production AI systems and leading technical teams. Hybrid work in NJ/PA is possible.

Qualifications

• Master's in AI/ML, Computer Science, Engineering, or related field.
• 3+ years hands-on AI/GenAI experience.
• Proficiency in Python, APIs, cloud applications.
• Understanding of large language models, RAGs, and agent workflows.
• Proven delivery of production AI systems and technical leadership.

Responsibilities

• Oversee the delivery of reusable GenAI applications and scientific workflows for R&D.
• Translate product priorities into technical designs; implement evidence-grounded generation and retrieval workflows.
• Establish best practices for code review, testing, and deployment.
• Coordinate integration with data products and vendor services.
• Mentor technical staff and communicate progress to leadership.

Skills

Python

APIs

Cloud applications

LLMs

RAGs

Agent workflows

Leadership

Education

Master's degree (AI/ML or CS or Engineering)

Tools

Python

APIs

Cloud platforms

Job description

Role

Senior Manager leading the Workflow, Applications, and Plug-ins team within Data Science at Johnson & Johnson Innovative Medicine.

Responsibilities

oversee the delivery of reusable GenAI applications and scientific workflows for R&D; translate product priorities into technical designs; implement evidence-grounded generation and retrieval workflows; establish best practices for code review, testing, and deployment; coordinate integration with data products and vendor services; mentor technical staff and communicate progress to leadership.

Requirements

Master's in AI/ML, Computer Science, Engineering, or related; 3+ years hands-on AI/GenAI experience; proficiency in Python, APIs, cloud applications; understanding of large language models, RAGs, and agent workflows; proven delivery of production AI systems and technical leadership.

Preferred

experience in life sciences R&D, traceable evidence workflows, plugin architectures, enterprise integrations, cloud deployment (AWS/Azure), and statistical validation of AI workflows.

High-value biopharma specifics

High-value biopharma specifics include developing AI applications supporting oncology, neuroscience, or immunology research; work within regulated environments; cross-functional collaboration across data, AI, and scientific teams; hybrid location in New Jersey/Pennsylvania with potential for stakeholder engagement.

Overall focus

The role emphasizes technical delivery, engineering management, and partnership with innovation and platform teams.