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Digital Pathology AI Specialist / Computational Pathology Scientist
Fa Euwp Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 · Scottsdale, AZ, United States · Active · Oracle Recruiting Cloud / Fusion HCM
Job facts
| Field | Value |
|---|---|
| Company | Fa Euwp Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Title | Digital Pathology AI Specialist / Computational Pathology Scientist |
| Normalized title | - |
| Department / team | Medical Specialties |
| Location | Scottsdale, AZ, United States |
| Work model | - |
| Employment type | Full Time |
| Salary | - |
| Status | active |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
| Posted / first seen | 2026-03-26 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
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| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Fa Euwp Saasfaprod1 Fa Ocs Oraclecloud Com CX 1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through Oracle Recruiting Cloud / Fusion HCM. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in Scottsdale. | Open |
| Department jobs | Active postings in Medical Specialties. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Fa Euwp Saasfaprod1 Fa Ocs Oraclecloud Com CX 1 |
| Source | 4b453130-65f6-4cd8-9777-8d6ce90cd12f |
| ATS provider | Oracle Recruiting Cloud / Fusion HCM |
Description
Description
Mayo Clinic Arizona seeks an outstanding scientist for the position of Senior Associate Consultant in Digital Pathology AI / Computational Pathology. This dedicated leadership role focuses on shaping the development, validation, and deployment of machine-learning and AI tools for histopathology images and integrated clinical datasets.
You will lead end-to-end AI initiatives - from problem framing, data curation, multimodal data acquisition, modeling, rigorous evaluation, regulatory considerations, and clinical integration, while collaborating closely with a team of pathologists already engaged in digital pathology work within the department, as well as enterprise informatics, IT teams, computational experts, and clinicians to develop secure, reliable MLOps pipelines.
This pivotal position directly advances DLMP Arizona's digital pathology program by providing essential in-house AI expertise, fully aligning with Mayo Clinic's enterprise-wide Digital Pathology strategic vision. This initiative leverages vast digitized archives (over 15 million slides linked to millions of patient records) to make images and metadata broadly available for practice digitization, AI applications, and a world-class ecosystem of tools and workflows that differentiate Mayo’s pathology services. You will champion Mayo's three shields of clinical practice, research, and education by:
Leading the creation and deployment of home-grown AI algorithms to enhance cancer diagnosis, precision medicine, prognostic modeling, and patient care priorities at MCA (e.g., cancer risk assessment, early detection, transplant pathology).
Developing AI-assisted tools and educational platforms for pathology trainees and faculty.
Driving multidisciplinary research collaborations within DLMP Arizona and across the Mayo enterprise, harnessing one of the world's largest digitized pathology repositories.
Join a growing, innovative team in Arizona dedicated to transforming pathology through AI, advancing capabilities equitably across Mayo sites, and delivering profound impact for patients, researchers, and educators.
Qualifications
PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging. Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered.
Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps.
Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications.
Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting.
Excellent communication skills for team leadership, education, and stakeholder engagement.
This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources. Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment.
Apply today to shape AI-enabled pathology at Mayo Clinic Arizona!
Interested candidates should submit a CV, cover letter, and statement of research interests and vision.
Organization
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.
Equal Opportunity
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" . Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
Company
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.
Benefits Highlights
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.
Full job record
| Job ID | 16b3f46ad818997856540f9a144ed0cfabbfce78 |
| Org ID | c1040a82-5418-4f3a-8986-063b890c61b4 |
| Source ID | 4b453130-65f6-4cd8-9777-8d6ce90cd12f |
| Board ID | 4b453130-65f6-4cd8-9777-8d6ce90cd12f |
| Provider | oracle_hcm |
| Provider Job Key | 373163 |
| Title | Digital Pathology AI Specialist / Computational Pathology Scientist |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | Scottsdale, AZ, United States |
| Department | Medical Specialties |
| Team | — |
| Employment Type | full_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | AZ |
| City | Scottsdale |
| Salary Raw | Description Mayo Clinic Arizona seeks an outstanding scientist for the position of Senior Associate Consultant in Digital Pathology AI / Computational Pathology. This dedicated leadership role focuses on shaping the development, validation, and deployment of machine-learning and AI tools for histopathology images and integrated clinical datasets. You will lead end-to-end AI initiatives - from problem framing, data curation, multimodal data acquisition, modeling, rigorous evaluation, regulatory considerations, and clinical integration, while collaborating closely with a team of pathologists already engaged in digital pathology work within the department, as well as enterprise informatics, IT teams, computational experts, and clinicians to develop secure, reliable MLOps pipelines. This pivotal position directly advances DLMP Arizona's digital pathology program by providing essential in-house AI expertise, fully aligning with Mayo Clinic's enterprise-wide Digital Pathology strategic vision. This initiative leverages vast digitized archives (over 15 million slides linked to millions of patient records) to make images and metadata broadly available for practice digitization, AI applications, and a world-class ecosystem of tools and workflows that differentiate Mayo’s pathology services. You will champion Mayo's three shields of clinical practice, research, and education by: Leading the creation and deployment of home-grown AI algorithms to enhance cancer diagnosis, precision medicine, prognostic modeling, and patient care priorities at MCA (e.g., cancer risk assessment, early detection, transplant pathology). Developing AI-assisted tools and educational platforms for pathology trainees and faculty. Driving multidisciplinary research collaborations within DLMP Arizona and across the Mayo enterprise, harnessing one of the world's largest digitized pathology repositories. Join a growing, innovative team in Arizona dedicated to transforming pathology through AI, advancing capabilities equitably across Mayo sites, and delivering profound impact for patients, researchers, and educators. Qualifications PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging. Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered. Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps. Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications. Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting. Excellent communication skills for team leadership, education, and stakeholder engagement. This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources. Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment. Apply today to shape AI-enabled pathology at Mayo Clinic Arizona! Interested candidates should submit a CV, cover letter, and statement of research interests and vision. Organization 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. Equal Opportunity All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the "EOE is the Law" . Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization. Company 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. Benefits Highlights 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. |
| Salary Min | — |
| Salary Max | — |
| Salary Currency | — |
| Salary Period | — |
| Source URL | https://fa-euwp-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/373163 |
| Apply URL | https://fa-euwp-saasfaprod1.fa.ocs.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/373163 |
| First Seen At | 2026-05-31 18:01:07Z |
| Last Seen At | 2026-06-06 20:16:10Z |
| Last Checked At | 2026-06-06 20:16:10Z |
| Last Changed At | 2026-05-31 18:01:07Z |
| Inactive At | — |
| Source Posted At | 2026-03-26 18:55:18Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=oracle_hcm/board=fa-euwp-saasfaprod1.fa.ocs.oraclecloud.com|CX_1/date=2026-06-06/2026-06-06T20-14-33-878Z-86da0ee50255d4cb06d61baa2be0a469b9122b60634b2dfc720662b3978980c1.json |
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This initiative leverages vast digitized archives (over 15 million slides linked to millions of patient records) to make images and metadata broadly available for practice digitization, AI applications, and a world-class ecosystem of tools and workflows that differentiate Mayo’s pathology services. 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"InternalQualificationsStr": "<ul><li><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">PhD (required) or MD/PhD in Computer Science, Biomedical Informatics, Data Science, Biomedical Engineering, or a related field, with demonstrated expertise in AI/machine learning applied to digital pathology or medical imaging. Exceptional MD candidates with requisite AI expertise and a strong translational research track record will also be considered.</p></li><li><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">Strong background in histopathology image analysis (computer vision), deep learning frameworks (e.g., PyTorch, TensorFlow), multimodal data integration (including tabular ML and NLP scenarios), and healthcare AI deployment/MLOps.</p></li><li><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">Proven track record of research productivity, including publications in computational pathology/AI, model development, and translational applications.</p></li><li><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">Experience in interdisciplinary collaboration, preferably in a clinical or academic medical setting.</p></li><li><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">Excellent communication skills for team leadership, education, and stakeholder engagement.</p></li></ul><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">This position includes an academic appointment commensurate with experience in the Mayo Clinic College of Medicine and Science, generous protected time for research and innovation, and access to unparalleled resources. Mayo Clinic offers highly competitive compensation, comprehensive benefits, and opportunities for professional growth in a collaborative, mission-driven environment.</p><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">Apply today to shape AI-enabled pathology at Mayo Clinic Arizona! </p><p style=\"-webkit-text-stroke-width:0px;color:rgb(0, 0, 0);font-family:"Times New Roman";font-size:medium;font-style:normal;font-variant-caps:normal;font-variant-ligatures:normal;font-weight:400;letter-spacing:normal;orphans:2;text-align:start;text-decoration-color:initial;text-decoration-style:initial;text-decoration-thickness:initial;text-indent:0px;text-transform:none;white-space:normal;widows:2;word-spacing:0px;\">Interested candidates should submit a CV, cover letter, and statement of research interests and vision.</p>",
"OrganizationDescriptionStr": "<div>\n 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. <a href=\"https://jobs.mayoclinic.org/alllocations\" target=\"_blank\" rel=\"nofollow\">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a> \n</div>\n<div>\n <br/> \n <div>\n <b>Equal Opportunity</b>\n </div>\n <div>\n <br/>All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the <a href=\"https://www.eeoc.gov/poster\" target=\"_blank\">\"EOE is the Law\"</a>. Mayo Clinic participates in <a href=\"https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf\" target=\"_blank\">E-Verify</a> and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.\n </div>\n</div>",
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