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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Summer 2027 Data Science R&D Graduate Intern (AI) (Knowledge Graphs/Medical Imaging/Predictive Modeling/AI Applications): Developing healthcare data science and AI solutions using clinical, medical, and health insurance data with an accent on graph technologies, computer vision, predictive modeling, and generative AI. Focus on building GraphRAG and Graph Neural Network solutions, medical image analysis pipelines, explainable risk models, and AI agent and NLP workflows.
Location: Remote, Home, Pennsylvania, United States. Applicants must be independently authorized to work in the U.S.; visa sponsorship is not available.
Company
hirify.global develops healthcare and health insurance solutions and supports clinical research and healthcare transformation.
What you will do
Design and optimize graph-based healthcare data models, GraphQL interfaces, Graph Neural Network solutions, and GraphRAG architectures.
Build medical image processing pipelines and computer vision models for clinical image analysis, anatomical segmentation, and pathology classification.
Develop machine learning models for healthcare risk prediction, disease progression, and patient outcome forecasting, with attention to explainability and fairness.
Design and evaluate AI agent frameworks, natural language processing solutions, prompt engineering strategies, and clinical information extraction workflows using generative AI.
Contribute to research projects, analytical solution design, model evaluation and experimentation, research reporting, and communication of findings to technical and business audiences.
Collaborate with researchers, data scientists, machine learning engineers, software developers, and other colleagues under mentorship and supervision.
Requirements
Bachelor’s degree.
Currently pursuing a Master’s or Ph.D. degree full- or part-time in Computer Science, Biomedical Informatics, Data Science, Electrical Engineering, Applied Mathematics, or a related quantitative discipline at an accredited college or university.
Strong programming experience in Python.
Experience with modern data science libraries such as NumPy, Pandas, Scikit-learn, PyTorch, and/or TensorFlow.
Proficiency in SQL and relational database concepts.
Effective communication skills and the ability to interact with colleagues, clients, and internal or external stakeholders.
Ability to provide professional services, participate in projects and initiatives, conduct research and reporting, and work under the guidance of senior personnel.
Compliance with HIPAA, data security guidelines, privacy policies, the Code of Business Conduct, and applicable laws and regulations.
Culture & Benefits
Part-time summer graduate internship with hands-on training, mentorship, and applied research experience.
Opportunity to work on high-impact healthcare and medical research initiatives using clinical, medical, and healthcare insurance data.
Collaboration within a multidisciplinary Data Science Research & Development team.
Remote work arrangement from the United States.
Hiring process
Applications may be submitted through the standard application process or through the AI recruiting assistant.
The recruiting assistant supports initial questions and interview scheduling.
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