Proscia is a company focused on enhancing pathology laboratories with its AI-powered digital workflows and enterprise software platform called Concentriq. This platform enables anatomic pathology laboratories to achieve full digitization, improve diagnostic quality, and drive efficiency in research and development processes across life sciences. Prosciaβs solutions leverage AI applications to accelerate drug discovery and development, and support real-world data solutions for precision medicine. The company is dedicated to perfecting cancer diagnosis through intelligent software, positioning itself as an innovator in digital pathology and AI solutions for modern laboratories.
Computer Software β’ Cancer β’ Cloud Computing
51 - 200 employees
Founded 2014
π€ Artificial Intelligence
βοΈ Healthcare Insurance
𧬠Biotechnology
March 15
π Pennsylvania β Remote
π¨βπ Internship
βͺοΈ Entry-level
π Data Scientist
π¦ H1B Visa Sponsor
Proscia is a company focused on enhancing pathology laboratories with its AI-powered digital workflows and enterprise software platform called Concentriq. This platform enables anatomic pathology laboratories to achieve full digitization, improve diagnostic quality, and drive efficiency in research and development processes across life sciences. Prosciaβs solutions leverage AI applications to accelerate drug discovery and development, and support real-world data solutions for precision medicine. The company is dedicated to perfecting cancer diagnosis through intelligent software, positioning itself as an innovator in digital pathology and AI solutions for modern laboratories.
Computer Software β’ Cancer β’ Cloud Computing
51 - 200 employees
Founded 2014
π€ Artificial Intelligence
βοΈ Healthcare Insurance
𧬠Biotechnology
β’ Developing a functional prototype leveraging foundation model embeddings to extract biologically relevant features from WSIs. β’ Designing and implementing scalable data processing pipelines, including feature extraction, quantification, and visualization. β’ Analyzing extracted features to improve searchability, classification, and dataset insights in pathology AI applications. β’ Collaborating with cross-functional teams to integrate models and datasets into existing workflows. β’ Documenting findings, methodologies, and results to contribute to team knowledge sharing.
β’ Current enrollment in or recent graduation from a Computer Science, Biomedical Engineering, Medical Data Science, or related program. β’ Strong Python programming skills and experience with deep learning frameworks like PyTorch or TensorFlow. β’ Familiarity with foundation models and their applications in AI and data science. β’ Experience with data processing techniques, including cleaning, normalization, and feature engineering. β’ Proficiency in data visualization tools to communicate insights effectively. β’ A problem-solving mindset and the ability to work both independently and collaboratively.
β’ Hands-on experience with cutting-edge AI applications in digital pathology and biomedical research. β’ Exposure to large-scale, real-world biomedical datasets, contributing to industry-leading AI research. β’ Mentorship from experienced data scientists, engineers, and AI researchers. β’ The opportunity to make a tangible impact in precision medicine and drug development.
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