Job Description

About Pramana:

Pramana, inc. is based in Cambridge, MA (USA), with R&D and manufacturing sites in Bangalore (India), Rochester (MN, USA) and Toronto (Canada). Pramana was established in 2021 as a spin-off from Nference. inc.
Pramana's vision is to bring fully autonomous systems to pathology labs and enable them to achieve AI-enabled workflows for serving patients. Pramana's unique offering in this ecosystem is powered by its differentiated approach to hardware-software co-design.

Visit us at https://pramana.ai/ to learn more.

We are looking for a highly motivated

Digital Imaging Intern to

join our Digital Imaging team

.

This internship offers a unique opportunity to gain hands-on experience in the development of cutting-edge imaging algorithms and contribute to real-world applications in digital pathology and computer vision.

Responsibilities:

Assist in the research and development of imaging algorithms for tasks such as image segmentation, classification, and enhancement. Support ongoing projects related to whole slide imaging (WSI) and tissue specimen analysis. Experiment with colour space transformations (e.g., RGB, HSV) to improve image processing workflows. Collaborate with the image quality evaluation team to test and refine algorithm performance. Help build and test models for optimizing imaging parameters and sequences based on specimen content. Work with software and platform engineers to support the integration of algorithms into software pipelines. Contribute to documentation, testing, and validation of imaging solutions.

Requirements:

Basic understanding of image processing concepts such as segmentation, classification, color spaces, and image quality assessment. Foundational knowledge of mathematics, including probability, algebra, and calculus. Experience with programming in

Python and/or C/C++

. Familiarity with image processing libraries (e.g., OpenCV, PIL) or machine learning frameworks (e.g., TensorFlow, PyTorch) is a plus. Interest in imaging systems, sensor technologies, or medical image analysis. Strong analytical thinking, problem-solving skills, and attention to detail. Eagerness to learn and contribute to a collaborative research and development environment.

Bonus Qualifications (Nice to Have):

Coursework or project experience in computer vision, optics, or deep learning. Familiarity with neural networks, graphics tools, or compute engines used in ML/CV. Previous research or internship experience related to image analysis or digital imaging. * Contributions to publications, open-source projects, or hackathons.