Department of Informatics and Analytics, AI & Data Science (Computer Vision)

The Department of Informatics and Analytics at Dana-Farber Cancer Institute seeks two motivated and talented Artificial Intelligence and Data Engineering/Data Scientist Intern for our expanding AI & data team. Successful candidates will have the opportunity to contribute on high-impact healthcare projects existing at the cutting edge of cancer research and clinical care. 

The Basics

• This role is intended to be part-time (<20h/week) from May until June, then full-time (40 hours per week) from June 2024 until mid-to-late August, and continue part-time after August should the candidate be considered for Full Time Employment.
• We are currently seeking to fill 2 internship positions in Computer Vision team.
• These positions will be in New England area. (MA, NH, VT, ME, RI, CT)
• Some flexibility in the overall timing is possible, but you should expect it to be as close to the stated format as possible
• Internship projects will be scoped according to mentorship expertise, present Informatics and Analytics needs, and the applicant’s unique skills and interests. Fundamentally, our team sits at the intersection of research and the clinic, and you can expect to work on a project that will have an impact in both areas to some degree. 
• Remote Workers in New England Area (MA, NH, VT, ME, RI, CT)
• Candidates are expected to use their own equipment that needs to be utilized on high speed internet access, with camera, microphone and headset.   Candidates will be given access to a virtual machine to execute CPU/GPU intensive tasks.

Requirements

Qualification

• Currently enrolled in or completed a Master’s or PhD program in Computer Science, Data Science, AI, or a related field.
• Strong programming proficiency in Python and familiarity with key ML/AI libraries (TensorFlow, PyTorch, NumPy, Pandas, etc.) and Hugging Face Transformers for model training, fine-tuning, and deployment..
• Experience with deep learning models (CNNs, transformers, RNNs) and their applications in computer vision and medical imaging.
• Familiarity with large language models (LLMs), multimodal LLMs, and experience integrating them into AI workflows.
• Strong understanding of AI agent frameworks (e.g., LangChain, AutoGen, Semantic Kernel) and autonomous AI-driven decision-making.
• Familiarity with federated learning, differential privacy, and large-scale distributed training.
• Experience working with DICOM, CT scan data, and other complex medical imaging datasets.
• Knowledge of SQL, cloud services (AWS, GCP, Azure), and version control (Git).
• Strong problem-solving skills and ability to work independently in an interdisciplinary setting.
• Excellent communication and collaboration skills, particularly in multidisciplinary teams with data scientists, clinicians, and researchers.

Benefits

$30 Per hour