Medical AI Surgical Analytics Intern

Tata Consultancy Services; Pittsburgh (Allegheny County); On-site; USD 20,664 - 34,440; Full time

Job summary

A leading consulting firm is seeking a motivated intern to join its medical AI team focused on developing and implementing advanced computer vision and AI solutions. The role involves tasks such as developing AI models for medical imaging, creating VR-assisted surgical training simulations, and collaborating with medical professionals. The ideal candidate is currently pursuing a degree in Computer Science or a related field, with strong programming skills in Python, and a solid understanding of computer vision techniques.

Qualifications

• Strong programming proficiency in Python, with experience in machine learning libraries.
• Solid understanding of computer vision techniques and image processing algorithms.
• Currently pursuing or recently completed degree in Computer Science or related field.

Responsibilities

• Develop AI models for medical imaging and surgical videos.
• Implement computer vision algorithms for blood detection.
• Create VR-assisted surgical training simulations.

Skills

Programming in Python

Machine learning libraries

Computer vision techniques

Data analysis and visualization

Mathematics and statistics

Education

Currently pursuing or recently completed degree in Computer Science or related field

Tools

TensorFlow

PyTorch

OpenCV

Job description

Job description

We are seeking a highly motivated intern to join our cutting‑edge medical AI team at TCS Medical Robotics Center, TCS Hall on Carnegie Mellon University Campus, focusing on the development and implementation of advanced computer vision and machine learning solutions for medical imaging, surgical video analytics, and VR‑assisted surgical training platforms. This role offers exceptional exposure to the intersection of artificial intelligence, medical technology, and immersive simulation systems.

Key Responsibilities

• Medical Image & Video Analytics: Develop and optimize AI models for cancer prediction and detection from medical imaging data.
• Implement computer vision algorithms for blood spot detection and analysis in surgical videos.
• Create and refine landmark detection systems for anatomical structures and medical implants.
• Build monitoring systems for real‑time analysis of surgical procedures and patient outcomes.
• Process and analyze large datasets of medical images and surgical videos.

AI Model Development & Training

• Design, train, and validate deep learning models using frameworks such as TensorFlow, PyTorch, or similar.
• Implement image segmentation, object detection, and classification algorithms for medical applications.
• Optimize model performance for real‑time processing and clinical deployment.
• Conduct data preprocessing, augmentation, and quality assurance for medical datasets.
• Perform model evaluation, validation, and performance metrics analysis.

VR & Haptic Simulation Development

• Develop VR‑assisted surgical training simulations for procedures including lumbar puncture and other medical interventions.
• Integrate haptic feedback systems for realistic tactile simulation in medical training environments.
• Create immersive 3D environments for surgical skill development and assessment.
• Implement physics‑based simulation systems for accurate procedural modeling.
• Design user interfaces and interaction systems for VR medical training platforms.

Research & Development Support

• Conduct literature review and stay current with latest developments in medical AI and surgical simulation.
• Assist in research methodology design and experimental protocol development.
• Support preparation of technical documentation, research papers, and patent applications.
• Collaborate with medical professionals to validate system accuracy and clinical relevance.

Qualifications

Required Qualifications

• Strong programming proficiency in Python, with experience in machine learning libraries (scikit‑learn, TensorFlow, PyTorch, OpenCV).
• Solid understanding of computer vision techniques and image processing algorithms.
• Experience with medical imaging formats (DICOM, NIfTI) and associated tools.
• Knowledge of deep learning architectures (CNNs, RNNs, Transformers) and their applications.
• Familiarity with data analysis and visualization tools (NumPy, Pandas, Matplotlib, Jupyter).
• Strong foundation in mathematics, statistics, and linear algebra.

Educational Background

• Currently pursuing or recently completed degree in Computer Science, Biomedical Engineering, Data Science, AI/ML, or related field.
• Relevant coursework in machine learning, computer vision, medical imaging, or biomedical signal processing.
• Strong foundation in mathematics, statistics, and linear algebra.

Preferred Qualifications

• Previous experience with medical imaging analysis or healthcare AI applications.
• Knowledge of VR development platforms (Unity3D, Unreal Engine, OpenXR).
• Experience with haptic development frameworks and hardware integration.
• Understanding of medical terminology, anatomy, and clinical workflows.
• Familiarity with regulatory requirements for medical device software (FDA guidelines, ISO standards).
• Experience with cloud computing platforms (AWS, Google Cloud, Azure) for ML model deployment.
• Knowledge of medical image annotation tools and techniques.
• Previous research experience or publications in related fields.

Personal Attributes

• Strong analytical and problem‑solving skills.
• Attention to detail and commitment to accuracy in medical applications.
• Ability to work with sensitive medical data while maintaining strict confidentiality.
• Excellent communication skills for interdisciplinary collaboration.
• Interest in healthcare innovation and improving patient outcomes.

Benefits

• Yes

Skills required: