UNKNOWN

FEED

We are seeking candidates that could be successful in many environments, including top-tier academic laboratories and leading technology companies, but who choose this work because of its potential for real and lasting impact on patients and the future of healthcare. 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.

YEAR

Why Mayo ClinicMayo 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 \u2013 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<ul><li>Medical: Multiple plan options.</li><li>Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>Vision: Affordable plan with national network.</li><li>Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>Retirement: Competitive retirement package to secure your future.</li></ul>ResponsibilitiesThe Mayo Clinic Digital Pathology (MCDP) is seeking an AI Research Fellow to help advance the next generation of pathology practice. We are seeking an exceptional researcher who blends technical excellence with scientific curiosity and a desire for real-world impact.Mayo Clinic has digitized over 15 million gigapixel digital pathology slides, representing an incredible diversity of complex diseases of all types. This data is now helping to power fundamental advancements in digital pathology, including the training of class-leading pathology foundation models and task-specific models that span pathology practice. At Mayo Clinic, you will have access not only to pathology slide data, but the full spectrum of multimodal and longitudinal clinical data needed to develop personalized diagnostic or predictive AI tools. As a member of the MCDP team, you will contribute to foundational research in digital pathology and real-world translation. Your work will help to bring cutting edge innovations into clinical practice and building the foundations of the next wave of innovation in pathology.We are seeking candidates that could be successful in many environments, including top-tier academic laboratories and leading technology companies, but who choose this work because of its potential for real and lasting impact on patients and the future of healthcare.What You'll Do<ul><li>Develop impactful software tools and AI: Develop, implement, and evaluate vision and multimodal transformers and task-specific models to support insight generation and downstream model development</li><li>Lead ambitious research: Design and execute novel research projects in collaboration with a multidisciplinary team of AI scientists, data scientists and engineers and pathologists</li><li>Drive growth and visibility: Help shape the direction and culture of MCDP as a new and expanding team. You'll play a key role in our success through your code, publications, and strategic promotion of our work.</li></ul>Qualifications<ul><li>PhD in Computer Science, Biomedical Informatics, Machine Learning, Engineering, Physics, Medical Physics, Applied Math, Statistics, or a related field.</li><li>Strong background in deep learning (e.g., CNNs, transformers) and familiarity with emerging techniques for reasoning and compositionality with large language models.</li><li>Strong Python and ML ecosystem skills (e.g., PyTorch, scikit-learn, etc.).</li><li>Facility with C/C++/Rust or other systems-level programming languages</li><li>Skilled in writing and able to communicate complex scientific ideas clearly and compellingly.</li><li>Self-motivated, execution-focused, and intellectually independent.</li><li>Goal-oriented.</li><li>Comfortable working with real-world, messy, heterogeneous healthcare data.</li><li>A team player who thrives as a member of a highly functional cross-disciplinary team</li></ul>Preferred Elements<ul><li>Prior experience with AI in healthcare settings.</li><li>Prior experience with digital pathology.</li><li>Strong software engineering practices (Git, CI).</li></ul>Exemption StatusExemptCompensation Detail$68,564.00 - $80,210.00/ year. Education, experience and tenure may be considered along with internal equity when job offers are extended.Benefits EligibleYesScheduleFull TimeHours/Pay Period80Schedule DetailsM-FInternational AssignmentNoSite DescriptionJust 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 OpportunityAll 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.RecruiterJanell Mader

Mayo Clinic

Research Fellow - Digital Pathology - AI

Artificial Intelligence (AI)

Biomedicine

C Programming Language

C++ Programming Language

Clinical Data

Clinical Information Systems

Clinical Pathology

Communication Skills

Compensation and Benefits

Computer Science

Cross-Functional

Data Science

Deep Learning

Ecosystems

Healthcare

Homeland Security

Informatics

Laboratory

Legal

Machine Learning

Mathematics

Medical Physics

Modeling Languages

News Reporting

Pathology

Programming Languages

Promotional Strategy

Publications

Python Programming/Scripting Language

Social Security Administration

Software Development

Software Engineering

Statistics

Systems/Internals Programming

Team Player

Technical Leadership

Technical Research

Vision Plan

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. Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets.

Why Mayo ClinicMayo 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 \u2013 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<ul><li>Medical: Multiple plan options.</li><li>Dental: Delta Dental or reimbursement account for flexible coverage.</li><li>Vision: Affordable plan with national network.</li><li>Pre-Tax Savings: HSA and FSAs for eligible expenses.</li><li>Retirement: Competitive retirement package to secure your future.</li></ul>ResponsibilitiesData Scientist Foundational Model SciencePosition SummaryThe Data Scientist for Foundational Model Science is the senior technical leader, and the lead scientist responsible for designing, training, and governing Mayo's multimodal foundational model. This model forms the core intelligence layer used by clinical departments, researchers, agentic workflows, and sovereign AI collaborations. The individual will work as a hands-on architect, model-builder, and researcher while acting as a player\u2013coach, guiding strategy and building a future team.Key ResponsibilitiesScientific & Technical Leadership<ul><li>Design multimodal foundational model architectures integrating signals from imaging, text, waveforms, structured data, graph representations, and temporal embeddings.</li><li>Develop fusion, alignment, and cross-modal reasoning mechanisms (early fusion, late fusion, token-level fusion, hybrid models).</li><li>Define and implement methods for grounded clinical reasoning, retrieval-augmented inference, graph-augmented attention, and chain-of-thought verification.</li><li>Establish protocols for model lifecycle governance, safe update cycles, drift-aware re-training, and provenance tracking.</li></ul>Hands-On Modeling & Training<ul><li>Train large-scale deep learning models, including multimodal architectures and domain-specific transformer-based systems, on real clinical datasets.</li><li>Fine-tune and adapt large language models (LLMs) for clinical reasoning, summarization, question answering, agentic behavior, and instruction-following tasks.</li><li>Build retrieval-augmented pipelines using embeddings, vector stores, graph traversal, and clinically grounded context construction.</li><li>Develop evaluation methods for reasoning quality, temporal prediction accuracy, multimodal synergy, ablation-based robustness, and counterfactual behavior.</li><li>Create reference-grounded training datasets, structured reasoning tasks, and multimodal benchmarks to evaluate model performance.</li><li>Conduct hands-on experimentation with optimization strategies, large-scale distributed training, model quantization, and inference acceleration.</li><li>Implement uncertainty modeling, selective prediction, abstention mechanisms, and clinically meaningful risk thresholds.</li><li>Build interpretable reasoning pathways, cross-modal attribution maps, and reference-grounded explanations.</li></ul>Cross-functional Collaboration<ul><li>Work closely with the Representation team to ensure representation-model alignment.</li><li>Partner with clinical SMEs to encode domain reasoning into reinforcement learning, preference optimization, or rule-guided behaviors.</li></ul>Team Leadership<ul><li>Serve as the future founding technical lead of the Foundational Model Science Program.</li><li>Mentor scientists and engineers and eventually build a specialty modeling team.</li></ul>QualificationsRequired<ul><li>PhD in Machine Learning, Computer Science, Applied Mathematics, or related discipline with at least four years of informatics, Artificial Intelligence, data science and/or machine learning.</li><li>Experience with generative modeling, reasoning models, or multimodal foundation models.</li><li>Expertise in alignment methods (contrastive learning, RLHF/RLCS, preference optimization).</li><li>Experience with distributed training, and large-scale compute.</li></ul>Preferred<ul><li>Experience with clinical or EMR data across multiple modalities.</li><li>7+ years experience training deep learning models, including transformers or multimodal architectures.</li><li>Experience defining evaluation frameworks for reasoning, multimodal synergy, reliability, or fairness.</li><li>Publications in multimodal learning, foundation models, or reasoning architectures.</li></ul>Exemption StatusExemptCompensation DetailEducation, experience and tenure may be considered along with internal equity when job offers are extended.; $165,276 -247,998/ annually.Benefits EligibleYesScheduleFull TimeHours/Pay Period80Schedule DetailsMonday \u2013 Friday. Regular day hours.Weekend Schedulenone expectedInternational AssignmentNoSite DescriptionJust 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 OpportunityAll 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.RecruiterJill Squier

Data Scientist - Research Sovereign AI

Benchmarking

Clinical Research

Coaching

Construction

Data Modeling

Data Sets

Electronic Medical Records

Mentoring

Performance Modeling

Predictive Modeling

Reinforcement Learning

Research Skills

Risk

Scientific Research

Structured Data

Team Building

Team Lead/Manager

Waveforms

Education Requirements: *Bachelors degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field. *Masters degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field.

HOUR

Required Skills: 
* Strong Python programming and SQL experience 
* Hands-on experience building Generative AI or RAG-based applications 
* Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations 
* Experience with ML/NLP model development, evaluation, and performance monitoring 
* Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy 
* Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic 
* Experience with cloud platforms such as GCP, AWS, or OCI 
* Experience with tools such as Vertex AI, AWS Bedrock, SageMaker, BigQuery, Snowflake, OpenSearch, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines 
* Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred 
* Strong communication skills and ability to work with both technical and non-technical stakeholders 
Education Requirements: 
*Bachelors degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field. 
*Masters degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field. 
Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred 
Compensation: $80-85 hourly DOE We look forward to reviewing your application. We encourage everyone to apply - even if every box isnt checked for what you are looking for or what is required. 
PDSINC, LLC is an Equal Opportunity Employer.

PDS Inc, LLC

Senior AI/ML Engineer

Amazon Web Services (AWS)

Biology

Biomedical Engineering

Clinical Practices/Protocols

Cloud Computing

Continuous Deployment/Delivery

Continuous Integration

Docker

GCP (Good Clinical Practices)

Metrics

Natural Language Processing (NLP)

Performance Analysis

SQL (Structured Query Language)

Semantic Search

HaleyMarketing

HIPAA / PHI: Working knowledge of PHI handling in AI  BAA-covered model endpoints, no PHI in training data or logs, de-identification before prompt context. -AI / LLM agents: Designing and implementing autonomous or semi-autonomous agents (tool- using, planners, orchestrators).

Technical Requirements: 
-Experience: 7+ years of software/ML engineering, with recent hands-on AI/LLM work. 
-Python: Advanced; production experience with APIs, async, and testing. 
-AI / LLM agents: Designing and implementing autonomous or semi-autonomous agents (tool- using, planners, orchestrators). 
-Agent frameworks: Hands-on with at least one (LangChain, LangGraph, LlamaIndex, Semantic Kernel, Google ADK). 
-MCP: Agent communication, coordination, or protocol-driven AI architectures. 
-Evaluation & guardrails: Prompt regression tests, hallucination and quality metrics, and guardrails for PII, jailbreaks, and unsafe outputs. 
-ML lifecycle: ML pipelines, deployment, evaluation, monitoring; embedding models, vector DBs, and RAG. 
-Data management: Modeling, pipelines, SQL/NoSQL, data quality and governance at scale. 
-Cloud: Hands-on in Azure, AWS, or GCP; cloud-native deployment patterns and CI/CD. 
-HIPAA / PHI: Working knowledge of PHI handling in AI  BAA-covered model endpoints, no PHI in training data or logs, de-identification before prompt context. 
Compensation: $90-95 hourly  We look forward to reviewing your application. We encourage everyone to apply - even if every box isnt checked for what you are looking for or what is required. 
PDSINC, LLC is an Equal Opportunity Employer.

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Research Fellow - Digital Pathology - AI Mayo Clinic

Data Scientist - Research Sovereign AI Mayo Clinic

Senior AI/ML Engineer PDS Inc, LLC

AI/ML Engineer PDS Inc, LLC

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