Mayo Clinic · 10 hours ago
Senior Data Science Analyst - Digital Pathology - Remote
United States
Full-time
Remote
Mid, Senior Level
$125K/yr - $182K/yr
7+ years expMayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. They are seeking a Senior Data Science Analyst to join their Digital Biology team, where the role involves training and developing advanced AI models and performing detailed analysis on large datasets to impact patient health.
BiotechnologyHealth CareHospitalMedicalWellness
Responsibilities
The Digital Biology team is the advanced technology group for Mayo Clinic Digital Pathology. We are seeking a Senior Data Science Analyst to join our AI pods and partner in building our most ambitious platforms, from multimodal biological foundation models (pathology, -omics, imaging) to AI Virtual Cells, Tissues, and Organs
In this role, you will actively train and develop advanced AI models while simultaneously driving the rigorous experimental frameworks required to validate them
By bridging the gap between model training and statistical science, you will ensure our systems are not just performant, but biologically generalizable and ready to transform the future of healthcare
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
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
Qualification
Required
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
Both 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.) required
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 data exploration tools
Preferred
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
Demonstrated ability to provide consultative services to departments/divisions and committees from any Mayo entity requesting assistance
Benefits
Medical: Multiple plan options.
Dental: Delta Dental or reimbursement account for flexible coverage.
Vision: Affordable plan with national network.
Pre-Tax Savings: HSA and FSAs for eligible expenses.
Retirement: Competitive retirement package to secure your future.
Company
Mayo Clinic
MayoClinic is a nonprofit medical practice and medical research group focused on integrated health care, education, and research.
10001+ employees
H1B Sponsorship
Mayo Clinic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (580)
2024 (476)
2023 (491)
2022 (509)
2021 (389)
2020 (583)
Funding
Current Stage
Late StageTotal Funding
$399.05MKey Investors
The ALS AssociationNational Institute of Neurological Disorders and StrokeAmerican Heart Association
2025-12-04Grant· $0.95M
2024-09-24Grant· $12M
2023-07-26Grant
Leadership Team
Gianrico Farrugia
President and CEO
Richard Gray
Chief Executive Officer
Recent News
2026-01-25
2026-01-23
Medical Xpress - latest medical and health news stories
2026-01-23
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