Computer Vision Graduate Research Assistant – AnnotateDx (Purdue)

Are you a graduate student looking to bridge the gap between academic machine learning and real-world clinical deployment? AnnotateDx, an innovative medical AI startup led by a Purdue Innovates Commercialization Fellow, is offering a fully-funded Graduate Research Assistantship (RA) in Computer Vision.

This fast-paced, translational project aims to scale a state-of-the-art medical data annotation co-pilot into active deployment with early clinical partners. If you want to build human-in-the-loop algorithms that eliminate the manual labeling bottleneck in biomedical AI, this position is for you.

Position Overview & Funding Package

This is a standard 0.50 FTE (20 hours per week) graduate assistantship running from July 1 to October 30.

• Financial Package: Competitive monthly stipend + full fee remission (tuition waiver).
• Benefits: Comprehensive health insurance coverage.

Core Responsibilities

Working directly alongside the product lead, you will drive the core technical developments of the platform. Your daily engineering tasks will include:

• Algorithm Development: Design and implement robust, programmatic computer vision pipelines specifically for high-resolution histology datasets.
• Benchmarking & Evaluation: Stress-test state-of-the-art deep learning architectures against out-of-distribution datasets to measure localization accuracy and pipeline efficiency.
• Production Deployment: Convert academic research scripts into secure, production-ready, containerized (Docker) applications.
• Pilot Integrations: Provide direct technical support during live validation sessions with external clinical partners.

Candidate Requirements

The ideal candidate combines a research-oriented mindset with solid industry software engineering practices.

• Core ML Stack: Strong background in computer vision (CNNs, Object Detection, Vision Foundation Models) and deep proficiency in PyTorch and OpenCV.
• DevOps & Infrastructure: Hands-on experience with Docker, Google Cloud Platform (GCP), and Slurm workload managers.
• Data-Centric AI Mindset: A proactive willingness to handle the critical parts of AI—data wrangling, baseline labeling, and pipeline debugging.
• Communication: Exceptional verbal and written objective communication skills to interface with technical teams and clinical partners.

How to Apply

Eligible graduate students should submit their applications directly through the official Purdue Qualtrics portal. Ensure your resume highlights your past industry experience in machine learning or software engineering, as this is highly desired for the role.
 

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