Job Description

About Pramana:

Pramana, Inc., enables digital transformation for next-generation pathology at medical centers, pathology labs, and biorepositories. Pramana offers a first-in-class Digital Pathology as a Service (DPaaS) solution by providing a turnkey service with cutting-edge whole slide imaging systems and a scalable software platform for clinical workflows.

Pramana is a gateway for pathologists to utilize AI-enabled decision support. The company is headquartered in Cambridge, Mass., and backed by Matrix Capital Management Company, L.P., a global leader in customized investment solutions, and NTTVC, a leading firm backing diverse founders within the technology spectrum.

For more information, visit www.pramana.ai.

Requirements:

In a senior engineering role, you will research and develop imaging algorithms and collaborate with other domain experts to bring our innovations from concept to the product:

Build and optimise algorithm for image segmentation, classification, etc. e.g. segmentation/classification of the tissue specimen on the glass slides or whole slide image(WSI).
Good understanding of color spaces( RGB, HSV, etc.)
Collaborate with image quality evaluation team to continuously improve the WSI scan quality and algorithm performance across a wide range of specimen types.
Develop and maintain end to end algorithm models for imaging parameters and sequences in order to develop intelligent routines based on the content in the specimens.
Collaborate with platform software engineers to co-optimize algorithms and software implementation.
Guide junior engineers and help them achieve their goals in image processing and analytics

This Is What You’ll Need

Degree in EE/Computer Science/Physics with relevant emphasis in image processing or signal processing.
3 - 6 years relevant hands-on experience including one Research & development cycle transferring an image acquisition and processing pipeline to a platform.
Solid understanding of key image processing algorithms, color space and problems around image quality.
Solid understanding of mathematics (probability, algebra, calculus, etc.)
Excellent programming skills in C/C++ and Python are required, knowledge of machine learning libraries is essential
Familiarity with sensor/camera component interactions

This Is What Will Make You Stand Out

Degree in EE/Computer Science/Physics with relevant emphasis in image processing, optics, or signal processing.
Track record of innovative thinking as evidenced by patents and peer-reviewed publications.
Understanding and preferably hands-on experience with deep learning frameworks and Neural Network processing architectures.
Experience with compute engines and tools for Graphics, Computer Vision, ML/AI.
Solid understanding of Statistical modelling, Probability and Stochastic methods