We are seeking a highly skilled and innovative sr. data analyst to join our dynamic department, focusing on the design and development of intuitive and user-friendly interfaces for our AI and data analysis projects in the healthcare sector. This role requires a unique blend of creativity, technical proficiency, and a deep understanding of user experience principles to deliver effective web, mobile, and desktop applications that meet the complex needs of healthcare professionals and patients.

The responsibility of this position is the development of proof-of-concept pilot demonstrations to validate the practicality and effectiveness of AI tools in real-world healthcare settings. AI technologies sometimes remain confined within research environments due to the complexity of their integration into existing clinical workflows. A User Interface Developer specializes in creating intuitive, user-friendly interfaces that can make sophisticated AI tools accessible to healthcare professionals without requiring them to have in-depth technical knowledge. This accessibility is crucial for the adoption of AI technologies in everyday clinical practice, as it ensures that the benefits of AI can be leveraged to improve patient outcomes and operational efficiency.  Through close collaboration with IT and other departments, the User Interface Developer helps navigate the complex healthcare environment, ensuring that AI tools are designed with both current needs and future deployments in mind.
 

May develop predictive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. May provide Consultative Services at an enterprise level to departments/divisions and/or support scientific projects under the supervision of a designated senior level data scientist.

Other responsibilities:
•Provides advanced data insights for complex business problems that can be approached with analytics techniques to collect, explore, and extract insights from structured and unstructured data.
•Has advanced expertise in the methods used to analyze data and advanced knowledge of data types, topics, and scientific challenges and approaches.
•Will work with other staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
•Participates in discovery processes with stakeholders to identify the business requirements and the expected outcome.
•Leads the interpretation of data analysis and writing reports.

A Bachelor’s degree in a relevant field such as engineering, mathematics, computer science, health science and at least 12 graduate level semester hours in domain-relevant sciences or seven years or more of data science and AI experience.
 

The preferred candidate will possess a PhD or Master’s degree with one year experience in a relevant field such as engineering, mathematics, computer science, health science, or other analytical/quantitative field and a minimum of one year of professional or research experience in data.

The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Good written and oral communication skills are required. Expertise in the use of scientific computing and data management packages. Ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated success in project management and communication skills.Demonstrated ability to develop predictive and prescriptive models on large-scale datasets to address various business problems through leveraging advanced statistical modeling, machine learning, or data mining techniques. Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred. Demonstrated application of several problem-solving methodologies, planning techniques, continuous improvement methods, project management methods, and analytical tools and methodologies (e.g. machine learning, statistical packages, modeling, etc.) required. Incumbent must have ability to manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Strong interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Strong time management skills also are required. In addition, requires strong analytical skills, consulting skills, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools.

Preferred Qualifications: 

- At least 3 years of experience in user interface development, with a portfolio showcasing successful projects in web, mobile, and desktop applications.

- Proficiency in front-end technologies, including HTML5, CSS3, JavaScript, and frameworks such as React, Angular, or Vue.js.

- Experience with design and prototyping tools such as Sketch, Adobe XD, Figma, or similar.

- Knowledge of best practices in UI/UX design, particularly in the context of healthcare applications.

- Familiarity with data visualization and the ability to present complex data in an accessible and user-friendly manner.

- Understanding of the healthcare industry's regulatory environment and accessibility standards.

- Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced, evolving environment.

- Strong communication and teamwork skills, with the ability to work effectively in both technical and non-technical teams.