Principal Engineer, AI/Software Support, Pooled Screening Core, Cell & Genetic Medicines

Scorpion Therapeutics; United States; Remote; USD 180,000 - 280,000; Full time

Job summary

Johnson & Johnson's Cell & Genetic Medicines high-throughput screening team seeks a Principal Engineer specializing in AI and software support to design and scale software, data, and AI solutions connecting automation, analytical instruments, and enterprise systems.

The role involves developing applications, APIs, data pipelines, and AI-enabled tools; mentoring teams; and prioritizing opportunities to boost scientific productivity while traveling 10–15% across US sites.

Qualifications

• Bachelor's degree in computer science, data science, bioinformatics, or related field.
• Experience integrating AI/ML and generative AI into production software.
• Proficiency with AWS and data management.
• Strong systems thinking and stakeholder management skills.
• Willing to travel 10–15%.

Responsibilities

• Design and scale software, data, and AI solutions connecting automation, analytical instruments, and enterprise systems.
• Develop applications, APIs, data pipelines, and AI-enabled tools.
• Implement best practices in software architecture, security, and lifecycle management.
• Collaborate cross-functionally with scientists, automation engineers, and IT.
• Mentor teams on software engineering and AI usage; prioritize opportunities to enhance productivity.

Skills

AI/ML integration

AWS

Data management

Software architecture

Stakeholder management

Systems thinking

Cross-functional collaboration

Education

Bachelor's degree in computer science, data science, bioinformatics, or related field

Tools

Benchling

Job description

Role: Principal Engineer specializing in AI/software support within Johnson & Johnson's Cell & Genetic Medicines high-throughput screening team, focusing on pooled and arrayed workflows for cell therapy discovery.

Responsibilities: design and scale software, data, and AI solutions connecting automation, analytical instruments, and enterprise systems; develop applications, APIs, data pipelines, and AI-enabled tools; implement best practices in software architecture, security, and lifecycle management; collaborate cross-functionally with scientists, automation engineers, and IT; mentor teams on software engineering and AI usage; and prioritize opportunities to enhance scientific productivity and operational efficiency.

Requirements: Bachelor's degree in computer science, data science, bioinformatics, or related field with extensive experience in complex scientific software systems; proven experience integrating AI/ML and generative AI into production software; proficiency with AWS and data management; strong systems thinking and stakeholder management skills; able to work in multidisciplinary teams and travel 10–15%.

Preferred: experience in drug discovery, cell therapy, high-throughput screening, laboratory automation, and scientific data standards; hands-on with ELN systems like Benchling.

High-Value: focus on biotherapeutics, cell and genetic medicines, high-throughput screening, and AI-driven discovery tools.

Work setup: Remote (US), with travel to Spring House, PA; La Jolla, CA; and Cambridge, MA.