Data Scientist - Generative AI
Employment Information
Why Mayo Clinic
Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans – to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic. You’ll thrive in an environment that supports innovation, is committed to ending racism and supporting diversity, equity and inclusion, and provides the resources you need to succeed.
Responsibilities
It is an exciting time at Mayo Clinic, as we are building the most trusted generative AI and LLM-based solutions to empower our staff, improve our practice, and transform healthcare. To accelerate our generative AI strategy, we are forming a cross functional team of technical experts. This team will be responsible for:
- Providing temporary tiger-team efforts to accelerate key initiatives.
- Expanding the organization’s understanding of LLM technology through:
- Development of best practices, knowledge assets, and code examples to accelerate the efforts of others.
- Execution of technical proofs of concept and exploration.
- Providing consultations, presentations, and sharing of knowledge across Mayo Clinic to technical and non-technical audiences.
- Implementing cutting edge algorithms and guiding validation efforts.
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 deep 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 deep knowledge of healthcare data types, topics, and scientific challenges and approaches.
Provide strategic direction regarding data science and AI in a specific area (e.g., cancer, surgery, planning services, marketing, healthcare delivery). Work with enterprise leaderships to advance digital strategy at Mayo Clinic.
Works closely with Informatics and IT teams to create data and intelligence driven systems to solve complex client problems. Makes strategic recommendations on data collection, integration and retention requirements, incorporating business requirements and knowledge of best practices. Supports scientific projects under the loose supervision of a designated senior level data scientist, or under self-direction. Designs, develops, applies and modifies scripts or software applications to support data management, data extraction and data analysis as required. Provides Consultative Services at an enterprise level to departments/divisions. Is responsible to gather, analyze, present findings to leadership.
Other responsibilities:
- Participates in multidisciplinary teams to design, develop, and recommend new approaches for data driven decision-making.
- Leads discovery processes on pioneering AI/ML based approaches to solve complex data problems across a variety of domains.
- Has deep expertise in the methods used to analyze data and deep knowledge of data types, topics, and scientific challenges and approaches that will be used to help inform and define new products, experiences and technologies.
- Guides and educates the data science team to provide unbiased and accurate information, analysis, consultation, and recommendations to support strategic and operational data science initiatives at Mayo Clinic.
- Will develop analytics tools that can be used by other staff with non-technical expertise.
This position will accept applications until 4/11/2024. This deadline may be extended if the necessary candidate pool is not met by this date.
Qualifications
PhD degree in domain-relevant sciences (mathematics, computer science, statistics, physics, data science, engineering, health science or other domain-relevant field) with at least four years of informatics, Artificial Intelligence, data science and/or machine learning.
The successful candidate will need to have both technical and business background/experience along with strong leadership skills. Experience leading technical/quantitative teams and in-depth business or practice knowledge is required.
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, is required. 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 independently manage a varied workload of projects with multiple priorities and stay current on healthcare trends and enterprise changes. Excellent interpersonal skills to include presentation, negotiation, persuasion, and written communications skills are required. Exceptional time management is required. In addition, requires excellent analytical skills, consulting skills, ability to deploy data science solutions, ability to identify and recommend solutions, advanced computer application skills and a commitment to customer service. Experience with data modeling and date exploration tools. Expertise in the use of scientific computing and data management packages. Demonstrated ability to prioritize, organize, and delegate various tasks on projects. Demonstrated initiative in administration, education (seminars, training), software development, and technical reports. Demonstrated ability to provide vision and strategic direction at an institutional or enterprise level to departments/divisions and committees.
The preferred qualifications for this position include:
- Ability to understand cutting edge research and be able to translate this type of research in code and application
- Domain knowledge in LLM/NLP and Multimodal applications
- Relevant publications in the area is considered a plus
Exemption Status
Compensation Detail
$163,966.40 - $237,764.80/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.
Affirmative Action and Equal Opportunity Employer
As an Affirmative Action and Equal Opportunity Employer Mayo Clinic is committed to creating an inclusive environment that values the diversity of its employees and does not discriminate against any employee or candidate. Women, minorities, veterans, people from the LGBTQ communities and people with disabilities are strongly encouraged to apply to join our teams. Reasonable accommodations to access job openings or to apply for a job are available.
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