Cernostics is seeking a full time or consultant software developer with image analysis experience to be part of a team creating algorithms for the analysis of fluorescence whole slide digital images.
The ideal candidate will:
Be proficient in MATLAB, especially with the Image Processing and Signal Processing toolboxes. Experience with creating mex files in C++ is a plus.
Have experience writing image analysis algorithms. They will have experience with image analysis methods, including convolutions, color space conversions, and segmentation algorithms. Experience with medical images, especially fluorescence microscopy images, is a plus.
Have familiarity with classification methods, especially as applied to images. They will have familiarity with at least one of: tree-based classifiers, support vector machines (SVM), deep learning classifiers, or comparable methods.
Have at least 2 years of college-level programming courses and college-level signal processing courses
Have experience with basic statistical techniques, such as creating summary statistics and performing basic hypothesis testing.
Follow good programming practices, such as writing unit tests and documenting all work.
Cernostics is a leader in tissue-based diagnostic testing, providing diagnostic tests with deeper tissue insights, better patient outcomes and lower cost of care. Our mission is to quantify the complexity of the tissue system, providing physicians and patients with individualized, actionable information to improve outcomes and reduce the incidence and mortality of cancer. Cernostics is committed to the principles of equal employment opportunity. Applicants are considered for all positions without regard to race, sex, sexual orientation, color, religion, national origin, age and disability (so long as such disability can be reasonably accommodated) or any other status protected by applicable law. Cernostics encourages all qualified applicants to apply.