Data Science R&D Graduate Intern

This is a fully remote position, open to applicants in Alabama, +44 more states.

📋 Description

• Utilize advanced techniques in data science, machine learning, artificial intelligence, and software engineering to tackle intricate clinical and healthcare challenges.

• Collaborate with a team of researchers, data scientists, machine learning engineers, and software developers.

• Create innovative solutions leveraging clinical, medical, and healthcare insurance datasets.

• Contribute to research projects focusing on predictive modeling, artificial intelligence, graph technologies, computer vision, and generative AI.

• Design and enhance graph-based healthcare data models, GraphQL interfaces, GNNs, and GraphRAG architectures.

• Develop pipelines for medical image processing and computer vision models aimed at clinical image analysis, anatomical segmentation, and pathology classification.

• Create models for healthcare risk prediction, disease progression, and forecasting patient outcomes.

• Design and assess AI agent frameworks, NLP solutions, prompt engineering methods, and workflows for clinical information extraction.

• Aid in the design and development of analytical solutions, model evaluation, and experimentation.

• Present findings to both technical and business audiences.

• Engage in projects, initiatives, research, reporting, and related studies under guidance and mentorship.

⛳️ Requirements

• Candidates must have authorization to work independently in the U.S.; visa sponsorship is not available.

• A Bachelor’s degree is required.

• Enrollment in a graduate degree program, either full-time or part-time, at an accredited college or university.

• Currently pursuing a Master's or Ph.D. in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative field (preferred).

• Strong programming skills in Python are preferred.

• Experience with NumPy, Pandas, Scikit-learn, PyTorch, and/or TensorFlow is preferred.

• Proficiency in SQL and concepts related to relational databases is preferred.

🏝️ Benefits

• Comprehensive health and wellness programs.

• Opportunities for professional development and growth.

• Collaborative work environment with a diverse team.

• Flexible work arrangements.