Research Assistant, Surgery

About the Role

We are seeking a passionate and skilled Research Assistant. You will work at the intersection of healthcare and artificial intelligence, developing transformer-based models and large language models (LLMs) to support applications in clinical decision-making, medical imaging, and drug discovery.

This role offers the opportunity to work with rich, real-world healthcare data, including electronic health records (EHR) and medical images, to build AI tools with direct translational impact in the local healthcare system.

Responsibilities

• Research, design, and train transformer-based and deep learning models for healthcare and biomedical applications
• Develop AI systems that integrate multimodal data, such as EHRs and medical imaging
• Contribute to drug discovery projects through generative models, knowledge graphs, and other AI techniques
• Deploy models in hybrid cloud environments for research or operational use
• Collaborate with software engineers to build functional AI applications and prototypes
• Document methodologies clearly, including model development, validation, and deployment pipelines
• Support the preparation of research publications, presentations, and grant proposals

Requirements

• Master's degree in bioinformatics, computer science, biomedical informatics, statistics, or a related field
• Hands-on experience in deep learning, especially in domains like NLP, imaging, or drug discovery
• Strong proficiency in Python and experience with PyTorch, TensorFlow, Hugging Face Transformers, and scikit-learn
• Experience with LLM fine-tuning, transformer architectures, or multimodal learning is a strong advantage
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and deployment of ML pipelines
• Experience working with healthcare data, including structured EHRs or medical imaging, is highly desirable
• Excellent problem-solving, communication, and documentation skills
• Ability to work independently and collaboratively in a multidisciplinary team