Mayo Clinic Data Scientist - Quantitative Health Sciences in Rochester, Minnesota
Department Quantitative Health Sciences
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Position description 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. This position works in conjunction with Data Science and Informatics faculty to provide technical thought leadership on data science at Mayo.
Candidate has extensive expertise in navigating the whole spectrum of transforming data to information to knowledge and to wisdom including problem formulation, data acquisition, modeling, learning strategy, and interpretation with extensive hands-on experience.
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.
• 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.
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.
Additional qualifications The preferred applicant will be strongly familiar with programming languages (e.g. Python, R, C++) and packages (e.g., tidyverse, tensorflow, pytorch, sklearn) commonly used in data science, and comfortable with learning standard bioinformatics tools for processing and analyzing ’omics datasets (e.g., GATK, samtools, IGV). Demonstrated ability to provide vision and strategic direction at an institutional or enterprise level to departments/divisions and committees.
Exemption status Exempt
Compensation Detail Education, experience and tenure may be considered along with internal equity when job offers are extended. The minimum salary every 2 weeks is approx $5,117.60, based on a full-time position.
Benefits eligible Yes
Schedule Full Time
Hours / Pay period 80
Schedule details Monday through Friday
Weekend schedule Not applicable
Site description Mayo Clinic is located in the heart of downtown Rochester, Minnesota, a vibrant, friendly city that provides a highly livable environment for more than 34,000 Mayo staff and students. The city is consistently ranked among the best places to live in the United States because of its affordable cost of living, healthy lifestyle, excellent school systems and exceptionally high quality of life.
Category Clinical Labs and Research
Career profile Research
Job posting number 149710BR
Recruiter Frank Harris
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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