Job Title - Systems Verification Engineer II

Location - San Jose, CA

Duration – 12+ Months Contract

Total Hours/week - 40.00
1st Shift

Job Description

At BD Biosciences, our purpose is to help all people live healthy lives.

We are a world leader bringing innovative tools to research and clinical laboratories in basic research, drug discovery and development, biopharmaceutical production and disease management.

We develop technology that enables faster diagnosis and better clinical outcomes.

To ensure that our cell analysis products deliver outstanding performance and exceed our customers? expectations,

The Systems Verification and Validation Engineer II is a hands-on testing and problem-solving role that will involve conducting experiments using flow cytometry.

Responsibilities

The Systems Verification Engineer II will work closely with systems engineers and the product development team to enable the successful application and integration of hardware, reagents, and software in BD flow cytometry products, with emphasis on assessing the suitability of design architectures and features to meet the needs of the customer.

He/She applies engineering, statistics, and scientific theory to measure and quantify performance of BD cell analysis products.

He/She will design, plan, and conduct experiments to assess the technical capability, feasibility, and performance of sub-systems and systems.

This includes the development and execution of formal protocols, analysis and interpretation of results, and communication of results and their impact to the project and the customer through written reports, design reviews, and interactive discussions.

The Engineer II identifies and pursues opportunities to facilitate more reliable and efficient verification and verification testing, such as automated test fixtures, simulation and analysis capabilities.

Qualifications

The successful candidate will possess: For this position Flow cytometry experience is highly preferred but the other qualifications are a plus as well.

Requires a minimum of a Bachelor’s Degree in an engineering, technology, or science field with a minimum of 2 years relevant experience or a combination of equivalent education and experience.

Typically requires a minimum of 2 years’ experience in product development, instrumentation development, medical devices, test engineering, or other relevant industry experience

Demonstrated knowledge and application of fundamental engineering concepts Ability to quickly grasp the functionality and interdependencies of complex multidisciplinary systems, to include lasers, optics, fluidics, electro-mechanical devices, software, algorithms, biological samples, and biochemistry.

Apply systematic troubleshooting and debugging skills, practice in ?systems thinking? problem solving approaches Strong interpersonal skills

Excellent written and oral communication skills Ability to prepare and process biological samples in a wet-lab Biosafety Level 2 Laboratory Ability to apply careful attention to detail

Ability to understand the broader impact of design features, testing methods, and test results to the user, customer, regulator, and to the marketability of the product.

Ability to critically evaluate proposed study designs

Proficient in data extraction, manipulation, and interpretation Desired: (Preferred) Knowledge in systems engineering practices, experience in developing good requirements

Experience in product development process and design control

Experience working within a regulated medical device industry Knowledge of immunology and/or experience in assay development or application

Experience in the cultivation, processing, or handling of cells Experience working in a Biosafety Level 2 Laboratory Knowledge of flow cytometry instrumentation and/or flow cytometry applications

Knowledge or experience in FDA submissions Knowledge or experience interpreting CLSI guidelines Experience in statistics, design of experiments, calculating sample sizes and estimating statistical power of study designs.

Experience using MATLAB, SAS, JMP, R, MiniTab, or LabVIEW for scripting, data analysis, or automation