Working with large-scale datasets, design and develop novel machine learning algorithms particularly in LLM to provide automation of clinical tasks using one or more of medical images, electronic medical records, waveforms, and clinical reports
Demonstrating algorithms to meet accuracy requirements on general subject population through statistical analyses and error estimation
Building prototypes to enable development of high-performance AI algorithms in scalable, product-ready code
Initiating/proposing unique and promising deep learning capabilities, developing new and innovative algorithms and technologies, pursuing patents and research publications where appropriate
Researching and evaluating emerging technology, industry, and market trends to assist in product development and/or operational support activities

Requirements

Currently enrolled in a PhD or master degree in computer science or related areas, or entering into a PhD program in the fall of 2026
Experience in one area of computer science (e.g., Natural Language Understanding, Computer Vision, Machine Learning, Deep Learning, Algorithmic Foundations of Optimization)
Experience with one or more general purpose programming languages (e.g., Python, Java, C/C++, etc.)
In depth experience with Spark/Hadoop and either PyTorch/Tensorflow
Experience creating production environment data analytics and applications
Extensive experience with handling noisy real world medical and patient data (preferred)
Experience working with large scale AI training (preferred)

Benefits

Professional development
Great work environment
Challenging careers
Competitive compensation

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningdeep learningalgorithm developmentdata analyticsstatistical analysiserror estimationnatural language understandingcomputer visionprogramming (Python, Java, C/C++)large scale AI training

Certifications

PhD in computer scienceMaster's degree in computer science