RESEARCH ASSOCIATE - Health Care Delivery
About The Position
Mayo Clinic is seeking a highly motivated Research Associate with strong foundations in theoretical artificial intelligence/machine learning (AI/ML) and applied data-driven research, particularly in health and biomedical domains. This is a 1–2-year paid fellowship position under the mentorship of Dr. Hojjat Salehinejad. The ideal candidate will demonstrate deep expertise in the mathematical and algorithmic principles underlying modern AI systems, as well as the ability to translate these methods into impactful real-world solutions to improve patient outcomes. The Research Associate will work independently and lead research initiatives at the intersection of AI/ML methodology and healthcare transformation. Research activities may intersect with different clinical departments across the Mayo Clinic where advanced computational and statistical modeling approaches are required. The successful candidate will combine strong theoretical depth with demonstrated ability to implement scalable, clinically meaningful AI systems that improve patient care and health outcomes.
Requirements
- Strong expertise in data structures and algorithms, with rigorous understanding of computational complexity and optimization
- Strong expertise in stochastic processes, statistical learning theory, and machine learning, including deep learning
- Strong expertise in theoretical foundations of AI/ML, such as probabilistic modeling, generalization theory, optimization methods, and representation learning
- Advanced programming in Python, including scientific computing and ML libraries (e.g., Pandas, Scikit-learn)
- Proficiency in deep learning frameworks such as TensorFlow and/or PyTorch
- Proficiency in Linux environments and shell scripting
- Experience with database systems (e.g., MySQL, Redis)
- Experience with containerization technologies (e.g., Docker)
- A strong track record of peer-reviewed publications demonstrating both methodological rigor and applied impact
- Excellent proficiency in all four English language skills, with particular strength in scientific writing and manuscript preparation
- A Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program
Nice To Haves
- Experience with Google Cloud Platform (GCP) or other large-scale cloud computing environments
Responsibilities
- Designing and developing novel AI/ML algorithms grounded in solid theoretical principles
- Translating advanced computational methods into deployable solutions for healthcare systems
- Leading interdisciplinary collaborations
- Publishing high-impact scientific work
- Contributing to health services research (HSR), health policy, and quantitative health sciences
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.
- Continuing education and advancement opportunities
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Ph.D. or professional degree
