Senior Data Science Analyst- Interface
Senior Data Science Analyst- Interface
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1 Vacancy
Job Description
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.
Data Scientists at Mayo Clinic 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. Candidate has advanced 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 and the mathematical theories underlying these tools used to analyze data. Has advanced knowledge of healthcare data types topics and scientific challenges and approaches.
May work with knowledge architects informaticians and clinicians at Mayo and partner outside companies to develop and deploy applications to bring AI and analytic solutions to nontechnical users often at the point of care. Applies and modifies existing scripts or software applications to support data management data extraction data analysis and AI as required
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.
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.
Qualifications
A Bachelors 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 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:
- MS degree in Computer Science Design Human-Computer Interaction or a related field.
- 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 .
- 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 industrys 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.
Please note that visa sponsorship is not available for this role.
Required Experience:
Senior IC
Employment Type
Full-Time
