AI/ML Intern - Radiation Oncology at Mayo Clinic… · Remote

Summary: Mayo Clinic Healthcare London is seeking an AI/ML Intern to utilize statistics and computer science to solve complex healthcare problems. The intern will engage with clinical and non-clinical data, learning the data science lifecycle while formulating analytical questions and optimizing algorithms. Responsibilities: - 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 Required Qualifications: - 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 programming in Python is essential - Demonstrated initiative/innovation in coursework and projects Preferred Qualifications: - Experience with data science development tools building algorithms on structured data - Experience working with unstructured data such as natural language, images, genetics, or signal processing (e.g. EKG) - 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 Required Skills: Artificial Intelligence, Machine Learning, Computer Programming, Graph Theory, Algorithms, Statistics, SQL, Linear Algebra, Python, Data Science, Natural Language Processing, Image Analysis, Signal Processing