Lead SDET for Digital Pathology Imaging

F. Hoffmann-La Roche AG; Santa Clara (CA); On-site; USD 144,000 - 226,000; Full time

Job summary

Roche in California seeks a Software Test Engineer lead for Digital Pathology imaging algorithms. You will design automated testing and collaborate with imaging scientists, product managers and software developers to verify performance and scientific accuracy.

You will build reusable data analysis tools, mentor junior engineers, participate in reviews, and implement cloud-based deployment pipelines following SDLC best practices. A Bachelor’s degree and 6 years related experience are expected.

Qualifications

• Histopathology image analysis or medical device software experience.
• Performance testing experience in regulated software environments.
• Agile software development processes and best practices.
• Experience in recruiting, building and coaching engineering teams.

Responsibilities

• Lead design and development of automated testing for Digital Pathology algorithms.
• Collaborate with cross-functional leads to align on scope and timelines.
• Analyze data and confirm technical performance specifications and scientific accuracy.
• Troubleshoot failures and report issues identified.
• Develop reusable data analysis tools for verification.
• Mentor junior engineers within the software test organization.
• Participate in requirements, architecture and design reviews.
• Design cloud-based testing and deployment pipelines.

Skills

Generative AI

Python scripting

Test automation

CI/CD tools

Cloud platforms

Education

Bachelor’s Degree in Computer Science, Data Sciences, Biomedical Engineering, or related field

Master’s degree preferred

Tools

AWS

Azure

GCP

CI/CD tools

Container tech

Job description

Roche in California seeks a Software Test Engineer lead for Digital Pathology imaging algorithms. You will design automated testing and collaborate with imaging scientists, product managers and software developers to verify performance and scientific accuracy.

You will build reusable data analysis tools, mentor junior engineers, participate in reviews, and implement cloud-based deployment pipelines following SDLC best practices. A Bachelor’s degree and 6 years related experience are expected.