Data Science R&D Graduate Intern

🔥 13 hours ago

🏈 Alabama, Alaska, +43 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

⏱ Part Time

⚪️ Entry-level

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 10%

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Highmark Health

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1852

🛡️ Insurance

💼 Consulting

📦 Logistics

💰 $5M Grant on 2021-05

Insurance • Consulting • Logistics

Highmark Health is a healthcare company committed to reinventing the healthcare system and improving its services for everyone. The organization offers a broad range of career opportunities across various fields such as clinical care, technology, finance, and marketing. Highmark Health emphasizes diversity, equity, and inclusion in its workforce, creating a supportive environment for employees from all backgrounds. The company has been recognized for its commitment to disability inclusion, diversity, and military-friendly employment. As an independent licensee of the Blue Cross Blue Shield Association, Highmark Health strives to create remarkable healthcare experiences for its customers and employees alike.

📋 Description

• Apply advanced data science, machine learning, artificial intelligence, and software engineering techniques to complex clinical and healthcare challenges • Collaborate with researchers, data scientists, machine learning engineers, and software developers • Develop innovative solutions using clinical, medical, and healthcare insurance data • Contribute to research initiatives involving predictive modeling, artificial intelligence, graph technologies, computer vision, and generative AI • Design and optimize graph-based healthcare data models, GraphQL interfaces, GNNs, and GraphRAG architectures • Build medical image processing pipelines and computer vision models for clinical image analysis, anatomical segmentation, and pathology classification • Develop healthcare risk prediction, disease progression, and patient outcome forecasting models • Design and evaluate AI agent frameworks, NLP solutions, prompt engineering strategies, and clinical information extraction workflows • Assist with analytical solution design and development, model evaluation, and experimentation • Communicate findings to technical and business audiences • Participate in projects, initiatives, research, reporting, and related studies under supervision and mentorship

🎯 Requirements

• Applicants must be authorized to work in the U.S. independently; visa sponsorship is not offered • Bachelor’s degree • Pursuance of a graduate degree full or part-time in an accredited college or university • Currently pursuing a Master's or Ph.D. degree in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative discipline (preferred) • Strong programming experience in Python (preferred) • Experience utilizing NumPy, Pandas, Scikit-learn, PyTorch, and/or TensorFlow (preferred) • Proficiency in SQL and relational database concepts (preferred)