Staff Digital Analytics Software Engineer

at  GE Healthcare

JOB DESCRIPTION SUMMARY

As a Staff Digital Analytics Software Engineer, you will lead in a critical role that develops and maintains our Healthcare Digital customer systems. This is a global focused role requiring you to design and implement complex software for the purpose of the isolation of defective electronic components in our customer systems. This role is vital in preventing and minimizing customer downtime. You will be responsible for the management and delivery of these algorithms into a cloud-based platform to be accessed by our professional service team.
GE HealthCare is a leading global medical technology and digital solutions innovator. Our purpose is to create a world where healthcare has no limits. Unlock your ambition, turn ideas into world-changing realities, and join an organization where every voice makes a difference, and every difference builds a healthier world.

QUALIFICATIONS

• Bachelor’s degree from an accredited university or college (or a high school diploma / GED with at least 4 years of experience
• Minimum of 3 years of experience in technical support and software creation
• Experienced in programming with the following: NodeJS, Java, Python, SQL, and Linux operating systems
• Demonstrate good design, validation, and release practice along with the corresponding documentation

• Develop and maintain in-depth diagnostic software responsible for guiding field engineers in the isolation of defective components on our customer systems before and after operational failure
• Partner with engineers and service team to create critical requirements for the creation of diagnostic software
• Troubleshooting skills to understand the analytical requirements for designing of diagnostics
• Knowledgeable in software best practices in delivering quality features
• Partner with the digital teams in the integration of the diagnostic software into a cloud-based platform
• Perform analysis on complex data to determine the best solution for the prediction and isolation of system defects
• Resolve software bugs and implement improvements through triage of issues
• Train service engineers in the proper uses of these diagnostic tools
• Create supporting documentation for the design and use of the diagnostics