About this opportunity
QT Imaging, Inc. lists this Scientific Computing Research Engineer opportunity in northern, Kentucky. Review the employer’s description below for duties, qualifications and application requirements.
Job description
In Person/Virtual - TBD Full-time | Novato or Petaluma, CA
QT Imaging is a medical device company engaged in research, development, and commercialization of innovative body imaging systems using low frequency sound waves. QT Imaging strives to improve global health outcomes. Its strategy is predicated upon the fact that medical imaging is critical to the detection, diagnosis, and treatment of disease and that it should be safe, affordable, accessible, and centered on the patient’s experience. For more information on QT Imaging, please visit the company’s website at
Job Description Overview
This position primarily supports QT Imaging’s scientific and clinical development programs through computational modeling, quantitative image analysis, and statistical evaluation of clinical data. Working directly with the Chief Science Officer, the successful candidate will develop simulation tools, analyze imaging datasets, evaluate algorithm performance, and support the design and execution of clinical studies.
The role bridges engineering, physics, computer science, and clinical research, providing quantitative analyses that support product development, regulatory submissions, scientific publications, and future AI development.
(Reports to: Chief Science Officer)
Key Responsibilities
Develop computational models and simulations of QT Imaging’s Breast Acoustic CT™ technology.
Design and execute quantitative analyses of clinical imaging datasets.
Process and analyze large multimodal imaging datasets, including QTscan, MRI, mammography, ultrasound, and pathology data.
Evaluate image quality, quantitative biomarkers, segmentation algorithms, and reconstruction performance.Develop software tools for data processing, visualization, statistical analysis, and scientific reporting.
Support clinical study design, endpoint development, statistical analysis plans, and interpretation of study results.
Perform validation studies comparing QTscan with existing breast imaging modalities.
Work closely with Clinical Affairs, Engineering, Regulatory Affairs, and Software Development teams.
Prepare scientific reports, abstracts, conference presentations, regulatory documentation, and peer-reviewed publications.
Support development and validation of AI and machine learning algorithms using high-quality clinical datasets.
Provide quantitative correlation analyses of scanner test data to image reconstruction images.
Contribute to scientific publications, grant applications, and intellectual property development.
Assist in developing computational workflows that improve efficiency and reproducibility of scientific analyses.
Prior Experience
Qualifications & Requirements
S. or Ph.D. in Biomedical Engineering, Medical Physics, Electrical Engineering, Computer Science, Applied Mathematics, Biomedical Data Science, Physics, or a related field.
Strong programming experience in Python, MATLAB, C++, or similar scientific computing languages and use of Linux operating system.
Experience with image processing, signal processing, computer vision, or computational modeling.
Experience analyzing large clinical or imaging datasets.
Familiarity with medical imaging modalities such as MRI, CT, ultrasound, PET, or optical imaging.
Understanding of statistical analysis, experimental design, and clinical research methodology.
Experience working with DICOM imaging data.
Knowledge of machine learning and artificial intelligence methodologies is desirable.
Ability to work independently in a fast-paced, multidisciplinary environment.
Excellent written and verbal communication skills.
Experience with breast imaging is highly desirable.
Strong problem-solving and analytical skills to identify and resolve production issues
Experience with scientific visualization and data analysis libraries (NumPy, SciPy, Pandas, OpenCV, ITK, VTK, TensorFlow, or PyTorch).
Familiarity with Linux environments and high-performance computing
Experience supporting FDA-regulated medical device development is preferred.
Experience contributing to scientific publications and conference presentations.
Knowledge of ISO 13485 and Design Control processes is beneficial.
Strong analytical, organizational, and problem-solving skills.
Comfortable working collaboratively with physicians, scientists, software engineers, and regulatory teams.
Salary Range
Job Type
Location
This job description is a summary of the typical functions of the position, not necessarily an exhaustive or comprehensive list of all possible position responsibilities, tasks, and duties. The company reserves the right to assign or reassign duties and responsibilities to this job at any time. This job does not constitute a written or implied contract of employment; employment remains “at-will”.
Interested in learning more about our Quantitative Transmission Imaging Technology or about the QTI Breast Acoustic CT™ Scanner?
QT Imaging Holdings, Inc.
Three Hamilton Landing, Suite 160
Novato, CA 94949
#J-18808-Ljbffr
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.