Department of Informatics and Analytics, AI & Data Science Internship

  • Anywhere

The Department of Informatics and Analytics at Dana-Farber Cancer Institute seeks a motivated and talented Artificial Intelligence and Data Engineering 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 March 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 4 internship position: one in computer vision, one in AI data engineering, one in NLP, and one in operations research. 
    • 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.



  • Demonstrated programming experience with Python, and most commonly used libraries for data science / machine learning / AI.
  • Must have completed or currently enrolled in Masters or PhD program. 
  • Excellent problem-solving skills and a record of successfully taking on new challenges.
  • Ability to work independently and communicate effectively within an interdisciplinary environment that includes data scientists, clinicians, researchers, engineers, scientists, and business leaders.
  • Experience with one or more of the following is preferred: SQL, large and complex datasets, CNNs, transformers, RNNs, linear programming, cloud services, source version control, command line.
  • Familiarity with one or more core methodologies and techniques, such as generative AI, hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, natural language processing, feature selection/engineering, recommendation systems.
  • Experience with healthcare data is a big plus. 


40 hours per week

$30 Per hour