Intern-Grad Kern Center

Informatics and Data Science interns provide data and informatics insights for business problems that can be approached with analytics techniques to collect explore and extract insights from structured and unstructured data. Will develop an understanding of the ways in which information (i.e. meaningful data) is converted into knowledge. May identify substantive problems where different representations algorithms and methods can be used to inform practice. May perform detailed analysis of large bodies of heterogeneous data in order to discover new patterns and insights having an impact upon patient health and augmenting human capabilities. May collaborate on data collection methods data query scripting data analysis data engineering as well as the application of appropriate AI methods for analysis visualizations and forecasting under the direction of the scientific project lead and/or mentor.

Innovation and design interns will focus on building skills in design research and service design while providing exposure to the role of design in health care. Responsibilities include supporting the staff design researchers with primary and secondary research activities. This may include direct patient contact with care teams in the clinical setting planning and conducting research activities with an emphasis on rigorous documentation and visualization.
Engineering interns will work in the context of human factors engineering and system integration or information decision engineering performed in a multi-disciplinary environment under the direction of a principal investigator. One or more mentors will be assigned to provide instruction guidance and to assess performance. Projects may include contact with study participants and staff in a simulated or clinical setting planning and conducting data collection activities and analysis activities.

Health Care Delivery Research intern work will be focused on building skills in research. Responsibilities may include: conducting literature reviews to support projects; assisting staff in the review identification and development of research findings; participating in the collection analysis and review of research data; developing spreadsheets and databases to support project activities; and analyzing data to contribute to the reporting and interpretation of research findings. Projects may include contact with study participants and multidisciplinary teams.

This position is hybrid individual must live within 100 miles driving distance to campus

**This vacancy is not eligible for sponsorship / we will not sponsor or transfer visas for this position.

During the selection process you may participate in an OnDemand (pre-recorded) interview that you can complete at your convenience. During the OnDemand interview a question will appear on your screen and you will have time to consider each question before responding. You will have the opportunity to re-record your answer to each question - Mayo Clinic will only see the final recording. The complete interview will be reviewed by a Mayo Clinic staff member and you will be notified of next steps.

Candidates must be enrolled in a Masters or Graduate degree program from a college or university and have received a Bachelors degree in one of the following fields: statistics/biostatistics math health informatics computer science operations research human factors design public health health science health services research pre-med economics health care administration business education epidemiology or engineering (operations systems industrial and biomedical preferred).

Must have strong teamwork communication organizational and interpersonal skills. Candidates will build and maintain an effective collaborative relationship with multidisciplinary team members. Proven written and oral communication skills are essential. Prefer exposure to research methods and have presentation experience and students who are self-directed adaptable and bring a positive enthusiasm for their work. For statistics biostatistics and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis is preferred. Ability to think logically and systematically analyze and evaluate alternate solutions in problem-solving required. Previous experience in SAS Splus and Ingres on UNIX or Mainframe platforms preferred. For innovation and design interns: Fluency in Photoshop Illustrator InDesign and a strong ability to express ideas visually is preferred. We encourage students to apply who are interested in design for health care.