Preface: Computer Vision, Machine Vision and/or Machine Learning experience is of primary interest to us. Medical Imaging experience is not a prerequisite but is nice to have.
We are pioneers in next generation cancer assays leveraging large scale (super) computing combined with comprehensive data sets to advance diagnostic and treatment decisions for patients. Our groundbreaking systems are designed to support an “Augmented Intelligence” paradigm where systematic and repeatable computing techniques are efficiently married with the clinical process to improve outcomes, reduce patient anxiety, and democratize the availability of high quality medicine. If you dream of driving cutting-edge research at a world-class institution, welcome home.
Research, develop, and implement advanced algorithms for unique applications in Computational Pathology. Primary responsibilities include: Medical imaging algorithm R&D, system design, and software development. You will work with pathologists and imaging professionals to formulate novel methodologies and algorithms to measure morphological and histological properties of cancer tissue. You will have to rely on Computer Vision experience to extract meaningful feature data from captured microscope images. We want you to innovate, create, and help us grow sustainably. You are a foundational team member and respectively, you will lead our CV/ML evolution.
• MS/PhD in Computer Vision, Computer Science, (Medical) Imaging Biomedical / ElectricalEngineering, Math, or Physics • Create image segmentation and classification algorithms for image processing, pattern recognition, measurement, and statistical modeling applications • Solid dev skills in C/C++, python AND Matlab/Mathematica or equivalent • Integrate Machine Learning modeling techniques>> will train ideal candidate
Nice to haves
• Utilize ITK, OpenCV (or similar toolkits) • Automate a microscope (if required) • Manipulate No-SQL database and MapR, Hadoop exposure • Execute GPU programming in High Performance Computing environment
Above market salary and very comprehensive benefits package. Opportunity to work and publish with industry leaders as you help develop a rapidly growing field. Possibility of academic appointment. Superb work-life balance.
Please submit CVs and inquiries to John Chere: email@example.com. Position to be filled immediately.
*All of your information will be kept strictly confidential per EEO guidelines.*