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Optimization Algorithms Jobs in Minnesota (NOW HIRING)

Dlapiper

Data Scientist

Minneapolis, MN · On-site +1

Identifies patterns and looks for opportunities for optimization. * Develops custom data models and algorithms to apply to data sets. * Uses predictive modeling to increase and optimize client ...

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Optimization Algorithms information

What is the difference between Optimization Algorithms vs Data Analysts?

AspectOptimization AlgorithmsData Analysts
Required CredentialsMathematics, Computer Science, Programming skillsStatistics, Data Analysis, Business Intelligence
Work EnvironmentResearch, software development, algorithm designData interpretation, reporting, business decision support
Employer & Industry UsageTech companies, finance, logistics, AI developmentMarketing, finance, healthcare, consulting

Optimization Algorithms focus on developing mathematical methods to improve processes and solve complex problems efficiently, often requiring programming and advanced math skills. Data Analysts interpret data to generate insights, supporting business decisions across various industries. While both roles work with data, Optimization Algorithms are more technical and algorithm-centric, whereas Data Analysts focus on data interpretation and reporting.

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The top searched job categories for Optimization Algorithms jobs in Minnesota are:

What cities in Minnesota are hiring for Optimization Algorithms jobs?

Cities in Minnesota with the most Optimization Algorithms job openings:

Optimization Algorithms jobs near you
Infographic showing various Optimization Algorithms job openings in Minnesota as of August 2026, with employment types broken down into 87% Full Time, 7% Part Time, and 6% Contract. Highlights an 77% Physical, 5% Hybrid, and 18% Remote job distribution.

Research Associate - Health Care Delivery

Rochester, MN • On-site

Mayo Clinic
Hospitals • 10K+ employees
Learn more about Mayo Clinicexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 707 frontline employees who took The Breakroom Quiz

Job description

We seek a highly motivated Research Associate with strong foundations in both theoretical artificial intelligence/machine learning (AI/ML) and applied data-driven research, particularly in health and biomedical domains. The position is for a 1-2-year paid fellowship working 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.
 

Required Qualifications
The candidate must possess strong expertise in:
    Data structures and algorithms, with rigorous understanding of computational complexity and optimization
    Stochastic processes, statistical learning theory, and machine learning, including deep learning
    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)
    Deep learning frameworks such as TensorFlow and/or PyTorch
    Linux environments and shell scripting
    Database systems (e.g., MySQL, Redis)
    Containerization technologies (e.g., Docker)
 

Experience with Google Cloud Platform (GCP) or other large-scale cloud computing environments is considered a plus.
 

The candidate must have a strong track record of peer-reviewed publications demonstrating both methodological rigor and applied impact. Excellent proficiency in all four English language skills is required, with particular strength in scientific writing and manuscript preparation.
 

Role and Responsibilities
The Research Associate will work independently and lead research initiatives at the intersection of AI/ML methodology and healthcare transformation. Responsibilities include:
    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
 

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.
 

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.
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.

Must have a Ph.D., M.D., or equivalent doctoral degree in a field deemed relevant by the program.

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About Mayo Clinic

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Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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