Sr. Applied Research Engineer
Full Job Posting
Responsibilities
- Contribute to the design and development of current and next-generation ophthalmic medical devices, from early research through translational development.
- Design, implement, and experimentally evaluate different corneal imaging modalities and elastography approaches, including comparative performance analysis, sensitivity, repeatability, and clinical relevance, to inform system design and future technology directions.
- Design, develop, implement, and optimize advanced biomechanical imaging and elastography-based techniques to assess corneal biomechanical properties and their changes due to therapeutic interventions (e.g., crosslinking treatments).
- Develop, maintain, and refine experimental biomechanical imaging systems, including imaging subsystems, excitation mechanisms, data acquisition hardware, synchronization, and system calibration procedures.
- Develop, optimize, and maintain processing and post-processing algorithms and software pipelines for biomedical imaging data.
- Ensure robustness, reproducibility, and performance of processing pipelines across experimental conditions, system configurations, and datasets.
- Collaborate closely with hardware, software, and systems engineering teams to integrate algorithms and experimental methods into prototype and product-level medical devices.
- Oversee data collection, preprocessing, algorithm development, validation, and performance characterization through rigorous experimental testing.
- Design controlled experiments, phantoms, and validation protocols to compare system performance and biomechanical measurement techniques.
- Communicate technical results clearly through design reviews, internal reports, and technical documentation; contribute to publications, patents, or regulatory submissions as appropriate.
- Work Experience:
- PhD in Biomedical Engineering, Mechanical Engineering, Optical Engineering, Physics, or a related field, or MS/Bachelor’s degree with equivalent industry experience.
- 5–8+ years of relevant experience (3–5+ years with an MS degree or 0–4+ years with a PhD) developing biomechanical assays, experimental imaging systems, and quantitative analysis algorithms.
- Demonstrated experience with elastography, biomechanical imaging, or quantitative tissue characterization techniques in research or commercial environments; experience in regulated medical device settings is a strong plus.
- Strong background in experimental system development, including imaging system design, hardware–software integration, and measurement system validation.
- Expertise in signal processing and algorithm development for imaging data.
- Strong programming skills in Python or similar scientific programming languages; experience with C++, C#, or other systems-level programming languages is a plus.
- Experience developing maintainable, well-documented scientific software and transitioning research code into robust implementations is a plus.
- Familiarity with medical imaging, ophthalmic technologies, or related biomedical applications.
- Experience working with medical device regulations, standards, and technical documentation for regulatory submissions is a strong plus.
- Familiarity with machine learning or statistical learning applied to imaging or biomechanical data is a plus.
- Excellent written and verbal communication skills, with the ability to collaborate effectively across disciplines and levels of the organization.
- #GKOSUS
Qualifications
- Familiarity with medical imaging, ophthalmic technologies, or related biomedical applications.
Preferred Qualifications
- Familiarity with machine learning or statistical learning applied to imaging or biomechanical data is a plus.
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