Computational Pathology & AI is the newest division in the Department of Laboratory Medicine and Pathology (DLMP). This growing team is searching for a Senor Data Science Analyst to ensure best practices in the life cycle of AI within DLMP by assisting in the full life cycle of AI - idea through implementation.

In this role, you will manage multiple projects and provide guidance for model development, knowledge architects, informaticians and clinicians, and partner with outside companies to bring AI and analytic solutions to non-technical users. Key responsibilities include developing model training pipelines that include both image based and tabular data, assisting in developing/translating prototype models while considering integration for production level software development, building toolkits for bulk annotation, data viz, statistical analysis to support study designs, and communicating with collaborative teams 

Additional opportunities include: 

• Actively partner with team members by fostering an inclusive work environment and respecting others with different backgrounds, experiences and perspectives. 
• Discover new patterns and insights having an impact upon patient health and augmenting human capabilities.
• Develop predictive models on large-scale datasets to address various problems through leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. 
• 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.
• Provide 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.
• Collaborate with staff in developing data analysis tools and predictive models, using advanced data analysis techniques and artificial intelligence and machine learning.
• Participate in discovery processes with stakeholders to identify the business requirements and the expected outcome.
• Lead the interpretation of data analysis and writing reports.

*This position is not eligible for visa sponsorship with the exception of the TN visa classification; Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program.

To be considered for this position, you must have 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.

Additional Qualifications

• 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 is preferred.
• Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance is preferred.
• 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. 
• Advanced knowledge of healthcare data types, topics, and scientific challenges and approaches.
• Technical and business background/experience along with strong leadership skills. 
• Good written and oral communication skills
• 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 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.). 
• 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. 
• Strong time management skills. 
• 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.

Application Requirements

*All must be included for your application to be considered: 

• CV/Resume
• Cover letter
• Transcripts (unofficial copy accepted) or NACES detailed international equivalency for foreign degrees.  
• Internal candidates must provide their past three performance appraisals. 

**DLMP employees that have been in current lab/position for less than 2 years must attach early release approval from supervisor. 

***Non-DLMP internal applicants that have been in their current department/position for less than 1 year must attach early release approval from supervisor. 

*International transcript:

• MUST have a DETAILED equivalency evaluation.
• MUST show US equivalent degree.
• Evaluation MUST be completed from an organization listed as a member of the National Association of Credential Evaluation Services (NACES) www.naces.org OR the Association of International Credential Evaluators, Inc. (AICE) www.aice-eval.org