Intern – Generative AI Research Engineer

🕒 June 15

🇺🇸 United States – Remote

💵 $32 - $40 / hour

👨‍🎓 Internship

⚪️ Entry-level

🧠 AI Research Scientist

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Cotiviti

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

⚕️ Healthcare Insurance

💳 Fintech

🤖 Artificial Intelligence

Healthcare Insurance • Fintech • Artificial Intelligence

Cotiviti is a healthcare technology and analytics company that specializes in improving payment accuracy and performance through advanced data analytics solutions. They partner with health plans, government agencies, and healthcare providers to deliver insights that enhance quality and efficiency in care delivery. With solutions such as risk adjustment, payment policy management, and member engagement, Cotiviti aims to optimize financial and clinical outcomes for the healthcare ecosystem.

📋 Description

• Conducts primary and secondary research of advanced and emerging healthcare informatics technology with a focus on Generative AI and emerging Artificial General Intelligence technology for healthcare treatment, payment, and operations use cases. • Creates research papers, analytical reports, proposals, and educational material. • Maintains a deep understanding of technology trends and hands-on experience with relevant technologies. • Develops generative AI models, architectures, databases, and systems to improve healthcare solutions. • Hours and length of assignment will be at the intern's choice from 20 - 40 hours per week with a minimum of one semester up to one year.

🎯 Requirements

• Currently pursuing or recently completed an advanced degree in healthcare, technology, or a related field (e.g., Biomedical Informatics, Computer Science) with preference of a PhD. • Demonstrated interest or experience in AI, healthcare technology, or informatics research. • Strong foundational knowledge in generative AI model development, architectures, and vector databases. • Hands-on experience with working with Machine Learning and Deep Learning models. • Experience with LLM/RAG models and LLM fine-tuning is a plus. • Hands-on experience working with cloud services (AWS/Azure), large data sets, and building data pipelines for ML solutions. • Experience with vector embeddings and databases is a plus. • Ability to work collaboratively and communicate effectively with cross-functional teams.

🏖️ Benefits

• Must be able to provide a dedicated, secure work area • Must be able to provide high-speed internet access/connectivity and office setup and maintenance