Senior AI/Software Engineer – Pooled Screening (Remote)

Scorpion Therapeutics

United States

Remote

USD 180,000 - 280,000

Full time

6 days ago
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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

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.

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