Senior Manager

Scorpion Therapeutics; New Jersey; Hybrid; USD 150,000 - 210,000; Full time

Job summary

Scorpion Therapeutics seeks a Lead to drive strategic and cross-functional AI/GenAI initiatives supporting Johnson & Johnson Innovative Medicine’s scientific and business goals, with emphasis on scalable AI workflows.

The role combines data analysis, project leadership, and collaboration across teams to deliver production AI applications, while ensuring compliance and robust traceability in a hybrid New Jersey-based setting.

Qualifications

• Master's in AI/ML, Computer Science, Bioinformatics, or related field.
• 3+ years in AI/GenAI science/engineering.
• Experience delivering production AI applications.
• Proficiency in Python, APIs, version control, cloud deployment.
• Practical knowledge of large language models and AI workflows.
• Preferred: experience in life sciences R&D, cloud AI deployment, statistical validation of AI models.

Responsibilities

• Oversee project planning and execution.
• Guide teams to meet timelines and quality standards.
• Analyze data and performance metrics.
• Prepare reports for senior leadership.
• Foster internal and external partnerships.
• Ensure compliance.
• Mentor team members.

Skills

Python

APIs

Version control

Cloud deployment

AI workflows

Team mentoring

Education

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

Tools

Git

CI/CD

AWS/Azure

Job description

Role

Lead strategic and cross-functional initiatives supporting Johnson & Johnson Innovative Medicine’s scientific and business goals, with a focus on AI/ML applications.

Responsibilities

• Oversee project planning and execution


• Guide teams to meet timelines and quality standards


• Analyze data and performance metrics


• Prepare reports for senior leadership


• Foster internal and external partnerships


• Ensure compliance


• Mentor team members

Requirements

• Master's in AI/ML, Computer Science, Bioinformatics, or related


• 3+ years in AI/GenAI science/engineering


• Experience delivering production AI applications


• Proficiency in Python, APIs, version control, cloud deployment


• Practical knowledge of large language models and AI workflows


• Preferred qualifications: experience in life sciences R&D, scientific document workflows, AI system deployment in cloud (AWS/Azure), and statistical validation of AI models


• High-value specifics: focus on AI/GenAI within biopharma research, potentially supporting drug discovery, diagnostics, or precision medicine, with an emphasis on traceability, controlled review, and operational robustness

Work Setup

Hybrid, based in New Jersey, US, with flexible on-site and remote work.