Biomedical Studies and V V Engineer
Jan 10, 2018San Jose, California
Biomedical Studies and V&V Engineer (254525)
San Jose, CA
6 months Contract
The Digital Health team is focused on the development of a health platform that helps you monitor your health and identify potential health issues before they become serious. We are building a platform that involves sensors, data, algorithms, cloud, hardware and software.
As an Algorithm Verification and Validation Engineer, you will be working with an agile team of internal engineers and external testing houses/clinics to characterize new sensing technologies and develop/execute test methodologies for verifying and validating Samsung’s next-generation digital health devices.
You will design and execute human subject studies, curate massive databases of biomedical signals, and conduct data-driven analyses of new technologies at all phases of the product development lifecycle, from feasibility to verification and validation.
You are expected to take a system-level approach to determine if the requirements and user needs are met utilizing a balance of benchtop testing, human subject testing, and documentation activities to match best practices. You will work with the Clinical, Product, Hardware, Software, Cloud, Algorithm, and Quality teams to define requirements, design procedures, and assure our devices meet expectations for exciting new innovations that result in Samsung’s next products.
•Work within a team of interdisciplinary engineers, SW QA, and V&V professionals and partners to
a.test a complex, multi-platform system
b.design and execute studies on human subjects, characterize new sensing technologies, and curate databases of biomedical signals at scale
•Review and contribute to product requirements as they pertain to system testing
•Develop methodologies, execute, and document bench verification test of system functionalities on physiological sensor systems, embedded hardware, embedded SW, phone applications, cloud applications, physiological algorithms, and integrated services
•Design, execute, and analyze data from product-critical validation studies with internal and external human subjects according to good clinical laboratory practices in pursuit and use of cohesive, high quality datasets
•Initiate and devise data-driven statistical assessment of algorithms through processing automation
•Train internal and external partners on the advanced techniques and SOPs developed to achieve the above goals
Qualifications and Experience:
•BS in Electrical Engineering, Biomedical Engineering, Computer Science, or equivalent experience
•2 years of V&V with physiological signal acquisition and analysis experience in a medical device-like development environment (i.e., formal and standardized documentation and best practice procedures)
•Skilled using data analysis tools to accomplish the above goals (e.g., Matlab or python packages)
• Strong capabilities with statistical methodologies and tools (e.g., hypothesis testing, ANOVA)
•Experience with data acquisition systems and database management
•Pluses: experience with IRB study review processes/documentation and regulated QMS environment Personal Characteristics:
•Strong organizational and interpersonal skills.
•Strong written and verbal communication skill
•Strong analytical and problem solving skills