Senior Manager – Workflow, Applications & Plug-ins Team

Scorpion Therapeutics; Raritan (NJ); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Hybrid work in NJ/PA

Job summary

Johnson & Johnson's Data Science organization seeks a leader to drive engineering delivery of reusable Generative AI applications and scientific workflows in R&D innovation. You will translate product priorities into technical designs, oversee development, and set best practices for code review, testing, and deployment.

Qualifications include a Master's in AI/CS/Bioinformatics, 3+ years in AI/GenAI engineering, and strong Python, APIs, cloud (AWS/Azure), and LLMs experience.

Qualifications

• Master's in AI/ML, CS, Bioinformatics, or related field.
• 3+ years' experience with AI/GenAI engineering.
• Proficiency in Python, APIs, cloud platforms (AWS/Azure), and large language models.
• Experience delivering production AI software and leading complex projects.

Responsibilities

• Translate product priorities into technical designs and oversee application development.
• Establish best practices for code review, testing, and deployment.
• Coordinate integration with data products and vendor services.
• Mentor technical staff.
• Communicate trade-offs and capacity constraints to leadership.

Skills

Python

APIs

Cloud platforms (AWS/Azure)

LLMs

AI/GenAI engineering

Education

Master's degree in AI/ML, CS, Bioinformatics or related

Job description

Role

Lead the engineering delivery of reusable Generative AI applications and scientific workflows within Johnson & Johnson's Data Science organization, focusing on R&D innovation.

Responsibilities

• translate product priorities into technical designs, oversee application development, establish best practices for code review, testing, and deployment
• coordinate integration with data products and vendor services
• mentor technical staff
• communicate trade-offs and capacity constraints to leadership

Requirements

• Master's in AI/ML, Computer Science, Bioinformatics, or related
• 3+ years' experience with AI/GenAI engineering
• proficiency in Python, APIs, cloud platforms (AWS/Azure), and large language models
• experience delivering production AI software and leading complex projects

Preferred

• experience in life sciences R&D workflows, plugin architecture, AI performance optimization, LLM fine-tuning, statistical validation, and CI/CD pipelines

High-Value

• focus on AI application development for biopharma R&D, including oncology, immunology, or neuroscience
• hybrid work setup in New Jersey or Pennsylvania
• leadership in cross-functional teams and vendor collaboration