Biomedical Software Engineer

Digital Intelligence Systems (DISYS) is seeking a Biomedical Software Engineer for a longterm contract opportunity with a renowned medical research consortium. The role will be located onsite in the Bay Area candidates must be willing to work onsite 4 days weekly to start 23 days weekly once fully trained.

The Biomedical Software Engineer is responsible for executing several concurrent high visibility projects in a highvolume clinical laboratory environment that may cross multiple business divisions and clinical testing methodologies with the goal of improving the quality and effectiveness of patient care testing.

RESPONSIBILITIES:

• Work with medical professionals such as other scientists chemists and engineers on staff to develop lean clinical testing workflows
• Evaluate test design and integrate into laboratory processes new clinical laboratory technologies products and software (chemistry analyzers liquid handlers pre and postanalytical laboratory automation systems middleware software systems). Ensure successful completion of system integration testing and validation.
• Leverage medical informatics statistics and data analysis tools in support of complex medical decisions.

QUALIFICATIONS:

• A Bachelors degree MS preferred in Biomedical or related engineering discipline (Bioengineering Mechanical Chemical Engineering) or Computer Science with emphasis on Bioinformatics is a necessity. Strong foundation in engineering principles (mechatronics and biomedical systems) software development and excellent problemsolving skills.
• Minimum 10 years experience with systems integration engineering or informatics discipline. Direct experience in a clinical laboratory IVD or related healthcare environment considered a plus.
• Proven experience with Microsoft .NET or related software development technologies.
• Able to identify and compile system requirements from discussion with business representatives and endusers.
• Familiar with AutoCAD Visio or similar CAD tools to generate facility equipment and work center layouts to analyze and communicate space planning relationships and constraints.