What are the responsibilities and job description for the Sr. Applied Research Engineer - Burlington MA position at Glaukos Corporation?
Job Description:
We are seeking a highly motivated and experienced scientist or engineer to join our Applied Research team and contribute to the advancement of next-generation technologies within our Corneal Health (CH) product portfolio. This role will play a central part in driving early-stage innovation, technology development, and translational research efforts aimed at expanding the capabilities and clinical impact of our ophthalmic medical device platforms.
The successful candidate will work at the intersection of experimental science, engineering, and clinical translation to develop new technologies and methodologies. A key focus of this role will be designing, implementing, and translating imaging, and computational approaches that enable improved understanding and quantification of corneal structure and biomechanics.
The ideal candidate will bring deep expertise spanning experimental system development, signal processing and algorithm design, and biomechanical modeling, with a strong interest in translating research concepts into robust, validated technologies.
We are seeking a highly motivated and experienced scientist or engineer to join our Applied Research team and contribute to the advancement of next-generation technologies within our Corneal Health (CH) product portfolio. This role will play a central part in driving early-stage innovation, technology development, and translational research efforts aimed at expanding the capabilities and clinical impact of our ophthalmic medical device platforms.
The successful candidate will work at the intersection of experimental science, engineering, and clinical translation to develop new technologies and methodologies. A key focus of this role will be designing, implementing, and translating imaging, and computational approaches that enable improved understanding and quantification of corneal structure and biomechanics.
The ideal candidate will bring deep expertise spanning experimental system development, signal processing and algorithm design, and biomechanical modeling, with a strong interest in translating research concepts into robust, validated technologies.