Careers

Thank you for your interest in a career with the Department of Artificial Intelligence and Informatics at Mayo Clinic. The department promotes collaborative research to advance methods, applications and infrastructure in digital medicine. The department brings together people, processes and technology from multiple disciplines based on biomedical, computational and social sciences.

The department's research goals are to use biomedical informatics, machine learning techniques and artificial intelligence (AI) to facilitate translational study in clinical practice and biomedical research.

Current openings

• Postdoctoral Research Fellow. The research program of Cui Tao, Ph.D., is seeking passionate individuals with a Ph.D. in computer science, informatics, or a related field to join our dynamic team at the forefront of innovation. Experience working with electronic health record (EHR) data and biomedical applications is a plus, as we aim to bridge the gap between cutting-edge technology and real-world healthcare challenges. Competitive candidates should be well-versed in machine learning, deep learning, natural language processing (NLP), large language models (LLM), ontology, standard terminologies and knowledge graphs.

  A Research Fellow at Mayo Clinic is a temporary position intended to provide training and education in research. Individuals train in the research program of a Mayo Clinic principal investigator. Qualified individuals will demonstrate the potential for research as evidenced by their training and peer-reviewed publications, and should become competitive for national research grants. Proof of English proficiency is required for J-1 Short-Term Scholars, Research Scholars, Professors, Specialists, and Student Interns sponsored by Mayo Clinic.

• Postdoctoral research fellow. A research fellow position is now available in the Biomedical Knowledge Empowered AI Lab in the Department of Artificial Intelligence and Informatics. Nansu Zong, Ph.D., is the mentor and supervisor for this position. Dr. Zong specializes in computational drug repurposing and deep-learning-based predictive models. The person in this position will use the latest large language models, reinforcement learning and diverse deep learning models to build predictive models in the areas of drug repurposing and precision medicine. This person will use large-scale biomedical datasets, such as knowledge graphs, and patient electronic health records, to study Alzheimer's disease, heart disease and cancer.
• Faculty position in AI and informatics. Candidates must have a Ph.D., M.D. or equivalent degree in their respective disciplines with a strong quantitative science background. The department is recruiting doctorally prepared, early-stage, midstage or established investigators with expertise in natural language processing, biomedical data processing and data analysis. Early-stage candidates should have demonstrated scientific productivity. They also should have evidence of successful external funding, such as R21 or R00. Midstage or established candidates should have national leadership and strong extramural funding records.

The Department of Artificial Intelligence and Informatics also offers these research positions:

• Translational informatics analyst. The person in this position:
  • Understands how information, such as meaningful data, converts to knowledge.
  • Identifies substantive problems and uses different representations, algorithms and methods to inform the practice.
  • Leads the development, design and translation of informatics solutions incorporating domain-specific data, information and knowledge, such as clinical, human resources or finance informatics solutions.
  • Works with subject matter experts to integrate informatics solutions into the clinical or business workflow.
  • Evaluates new requests for derived information or knowledge, or knowledge delivery solutions.
  • Works with informatics scientists, data scientists and knowledge engineers to identify the most relevant approaches to address a specific problem. These approaches include translational informatics and data science.
  • Validates solutions for efficacy.
  • Is proficient in the informatics methods used to analyze data and advanced knowledge of healthcare data types, topics, approaches and scientific challenges.
  • May work with data scientists and software developers to build new tools to address gaps.
  • Develops and improves software applications to support data management, extraction and analysis as required.
  • Designs analytical procedures in the framework of a specific project or group of interconnected projects.
  • May develop and implement knowledge representations based on cognitive, social or organizational theories suitable in the context of real problems, such as the analysis of genomic or clinical data in the electronic health record.
  • Has deep knowledge of data governance principles and best practices, including nomenclature, provenance and pedigree, and data structures.
  • Applies best practices to catalog and index datasets and algorithms.
  • Helps develop policy to manage derived data.

  This position requires a minimum of a bachelor's degree in a relevant field, including bioinformatics, clinical informatics, biomedical engineering, computer science, health science, or another analytical or quantitative area. The department will consider candidates who have a minimum of three years of professional or research experience in translational informatics. The preferred candidate will possess a master's degree or Ph.D. in a relevant field, such as bioinformatics, biomedical engineering, computer science, health science, or another analytical or quantitative field. The preferred candidate also will have a minimum of one year of professional or research experience in data.

• Data science analyst. Data scientists at Mayo Clinic perform detailed analyses of large bodies of heterogeneous data to discover new patterns and insights that affect patient health and augment human capabilities. They have expertise in AI , machine learning, deep learning, statistical data processing, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory and data science methods used to analyze data. The person in this position may work with knowledge architects, informaticians and clinicians at Mayo and partner with outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of care. This position requires a minimum of a bachelor's degree in a relevant field, such as engineering, mathematics, computer science, health science, or another analytical or quantitative field. This position also requires a minimum of three years of professional or research experience in data science.
• Research associate. This position is intended for those who have received substantial postdoctoral training to take part in a temporary period of research within a staff investigator's program to prepare for an independent program or faculty position at Mayo Clinic or elsewhere.
• Research fellow. This position is intended for those holding a doctoral degree to take part in a temporary period of mentored research or scholarly training to acquire the professional skills needed to pursue a full-time career in academia or research.
• Research trainee. This position is intended to provide a mentored educational opportunity to qualified people to gain experience in research.
• Intern. This position is offered to those working toward their bachelor's, master's or Ph.D. degrees in different fields related to AI . Interns will contribute to cutting-edge projects, build new skill sets and play a crucial role in advancing AI discovery at Mayo Clinic.

For more information about careers in Mayo Clinic's Department of Artificial Intelligence and Informatics, please contact the department at AI&I@mayo.edu.