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Multimodal Learning Jobs in Minnesota (NOW HIRING)

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The focus of the core initially will be on spatial biology and multimodal omics integration to aid ... The preferred candidate has advanced expertise in AI, machine learning, deep learning, statistical ...

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The focus of the core initially will be on spatial biology and multimodal omics integration to aid ... The preferred candidate has advanced expertise in AI, machine learning, deep learning, statistical ...

Senior Data Science Analyst - CSiG

Rochester, MN · On-site

$87K - $110K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

The focus of the core initially will be on spatial biology and multimodal omics integration to aid ... The preferred candidate has advanced expertise in AI, machine learning, deep learning, statistical ...

... multimodal transportation terminal, intermodal yard, warehouse, or dock environment, directly ... Perform tasks under appropriate supervision while learning equipment operation, safety protocols ...

Physician, Neurocritical Care

Saint Paul, MN · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Expertise in multimodal neuromonitoring, including continuous EEG and intracranial pressure ... learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and ...

Physician, Neurocritical Care

Saint Paul, MN · On-site

  • Medical

  • Dental

  • Life

  • Retirement

Expertise in multimodal neuromonitoring, including continuous EEG and intracranial pressure ... learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and ...

Physician, Neurocritical Care

Saint Paul, MN · On-site

$485K - $525K/yr

  • Medical

  • Dental

  • Life

  • Retirement

Expertise in multimodal neuromonitoring, including continuous EEG and intracranial pressure ... learning opportunities. Our goal is to help you thrive physically, mentally, emotionally, and ...

Showing results 41-60

Multimodal Learning information

What is multimodal learning?

Multimodal learning is an area of machine learning that involves integrating and processing information from multiple types of data, such as text, images, audio, and video. The goal is to create models that can understand and make predictions based on more than one data modality, similar to how humans use various senses. This approach is used in applications like speech recognition with visual cues, image captioning, and video analysis. By combining different data types, multimodal learning systems can achieve better accuracy and more robust understanding.

What are the key skills and qualifications needed to thrive in multimodal learning, and why are they important?

To excel as a Multimodal Learning Specialist, you need a solid background in machine learning, data science, and computer vision, often supported by an advanced degree in a related field. Familiarity with deep learning frameworks like TensorFlow or PyTorch, experience integrating data from diverse sources (e.g., text, audio, images), and knowledge of relevant algorithms are crucial. Strong problem-solving abilities, creativity, and effective collaboration are standout soft skills for this role. These competencies are vital for developing innovative models that can process and interpret complex, multi-source data to drive impactful AI solutions.

What are some common challenges faced by professionals working in multimodal learning roles, and how can they be addressed?

Professionals in multimodal learning frequently encounter challenges related to integrating and aligning data from multiple sources, such as text, images, audio, or video. Ensuring data quality and consistency across modalities can be complex, and developing models that effectively combine heterogeneous information often requires advanced technical skills and innovative thinking. Collaboration with domain experts and other data scientists is key to overcoming these obstacles, as is staying up to date with the latest research and tools in machine learning. Regular team meetings and cross-disciplinary workshops can help foster a collaborative environment and promote knowledge sharing.

What is the difference between Multimodal Learning vs Data Scientist?

AspectMultimodal LearningData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or Computer ScienceBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentResearch labs, AI development teams, academiaBusiness, tech companies, analytics teams
Industry UsageAI research, multimedia applications, roboticsData analysis, predictive modeling, business insights

Multimodal Learning focuses on developing AI models that process and integrate multiple data types like images, text, and audio. Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles involve data and algorithms, Multimodal Learning is specialized in AI model development for complex data integration, whereas Data Scientists work broadly across data analysis and interpretation.

What cities in Minnesota are hiring for Multimodal Learning jobs?

Cities in Minnesota with the most Multimodal Learning job openings:

Senior Data Science Analyst - CSiG

Mayo Clinic

Rochester, MN • On-site

$87K - $110K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

127th of 888 rated healthcare providers


Job description

The Artificial Intelligence (AI) Core is a key component of the NIH funded P30 Digestive Diseases Research Core Center grant, which is entitled the Mayo Clinic Center for Cell Signaling in Gastroenterology. We are seeking a Senior Data Science Analyst to join our AI core to help develop, organize, and employ agentic AI based solutions powered by stacked frontier models. The focus of the core initially will be on spatial biology and multimodal omics integration to aid P30 members in discovery science. In this role, you will work for the AI Core along with a medical and scientific director (co-directors) and actively support members in the use of agentic 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 performative, but biologically generalizable and ready to transform the future of digestive disease research.

Data Scientists at Mayo Clinic perform detailed analysis of large bodies of scientific data in order to discover new patterns and insights having an impact ultimately upon patient health. The preferred 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. The individual should have advanced knowledge of computational biology data types, topics, and scientific challenges and approaches.

You may work with knowledge architects, informaticians, and clinicians at Mayo to develop and deploy applications to bring AI and analytic solutions to nontechnical users, often at the point of omics data including transcriptomics, genetics, proteomics, and spatial biology. The core applies and modifies existing scripts or software applications to support data management, data extraction, data analysis, and AI, as required, by leveraging advanced statistical modeling, operations research, machine learning, or data mining techniques. You will provide consultative services at a scientific level to support scientific projects. You will be housed within a digital biology-focused team focused on advanced AI technology for Mayo Clinic Digital Pathology.

Note: Visa sponsorship is not available for this position. Must be a U.S. citizen, permanent resident, refugee, or asylee. Mayo Clinic does not support the OPT STEM program.

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.

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 is required. The ideal candidate will possess a PhD in a relevant field such as engineering, mathematics, computer science, bioinformatics/biostatistics, biological sciences, or other analytical/quantitative field. Requisite technical expertise in AI, data science, and the use of scientific computing and data management packages in strongly preferred. In addition, the role requires experience with data modeling and data exploration tools, along with advanced computer applications skills, strong analytical skills, and the ability to identify and recommend effective technical solutions.
The incumbent must have proven leadership, project management, and time management skills, including the ability to prioritize, organize, delegate, and manage a varied workload of projects with multiple priorities while staying current on scientific trends. The role requires advanced written and oral communication skills, including the ability to provide AI-related text for publications and grants, to deliver clear presentations, and to impart effective education to learners with varying levels of expertise. The preferred candidate will have strong interpersonal and consulting skills, including a demonstrated ability to provide consultative services to scientists and co-workers from any Mayo entity requesting assistance, along with a commitment to customer service. 


What Mayo Clinic employees say

Pay

Benefits

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About Mayo Clinic

Sourced by ZipRecruiter

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