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Intern - Computational Pathology and AI

Applications are closed

  • Internship
    Off-cycle Internship
  • Software Engineering
    IT & Cybersecurity
  • Rochester


  • Current enrollment or recent graduate of undergrad or grad program in: Computer Science, Information Technology, Data Science, Physics, Statistics/Biostatistics, or other related field with strong quantitative analytical skills. School or project experience in applying data science approaches/tools. Proven written and oral communication skills are essential.AI experience/exposure or familiarity with AI principles is required. Courses and comfort level with at least one of the following: computer programming, machine learning, graph theory, algorithms, statistics, SQL and linear algebra are essential for success. Experience with major programming languages is beneficial. Demonstrated initiative/innovation in coursework and projects.
  • Experience with data science development tools building algorithms on structured data is preferred. Experience working with unstructured data such as natural language, images, genetics, or signal processing (e.g. EKG) is preferred. Experience with C/C++/Java or other systems programming languages and software engineering methodology is not required but beneficial. Candidates with exceptional web-stack data visualization (Angular/D3) experience will also be considered.


  • Interns will utilize statistics and computer science to solve complex problems in healthcare. Problem areas include: diagnostic analytics such as image analysis, signal processing and pattern recognition, NLP, scheduling, risk analysis and prevention, outcome analysis, targeting and socio-economic behaviors, personalization – including sentiment, interests and affinities modeling, and process improvement (e.g. making sure patients are referred to the care teams they need). The Intern will interact with vast amounts of clinical and non-clinical data (external data sources, digital, etc.).
  • Interns will learn the data science lifecycle including data acquisition, transformation, data engineering, exploratory data analysis, feature engineering, algorithm development, and algorithm deployment into a relevant clinical and/or business context. Interns are expected to help formulate analytical questions, perform hypothesis testing, algorithm optimization, algorithm deployment, and integrate feedback rapidly from stakeholders. Candidate needs to have an open mind and ability to take concepts developed by other industries and apply them to healthcare. Candidates should be effective communicators and good team players. Candidates who have coursework, projects, and evidence of interest in data science (e.g. participating in Kaggle competitions) but lack industry experience are ideal for this position.

Science & Healthcare

Mission & Purpose

Mayo Clinic has expanded and changed in many ways, but our values remain true to the vision of our founders. Our primary value – The needs of the patient come first – guides our plans and decisions as we create the future of health care. Join us and you'll find a culture of teamwork, professionalism and mutual respect, and most importantly, a life-changing career. Mayo Clinic was founded in Rochester, Minnesota by brothers Dr. William James Mayo and Dr. Charles Horace Mayo. More than 100 years later, their vision continues to evolve around a single guiding value: "The needs of the patient come first." Today we are the largest integrated, not for-profit medical group practice in the world. We are recognized for high-quality patient care more than any other academic medical center in the nation. These endorsements are very gratifying, but also humbling. They remind us of the tradition that has been entrusted to each one of us, and the legacy of excellence that we uphold every day.