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Multimodal Learning Jobs in Arizona (NOW HIRING)

Traveling Surgeon

Glendale, AZ ยท On-site

$200K - $250K/yr

Act as a resource for Lovet DVMs improving their surgical skills and/or learning new procedures to ... Confident in anesthesia utilizing up to date multimodal pain control approach for various ASA ...

Traveling Surgeon

Glendale, AZ ยท On-site

$200K - $250K/yr

Act as a resource for Lovet DVMs improving their surgical skills and/or learning new procedures to ... Confident in anesthesia utilizing up to date multimodal pain control approach for various ASA ...

Experience with advanced data architectures, including multimodal data management and model design ... learning operations (MLOps), and Git/continuous integration and continuous delivery (CI/CD) * 2+ ...

Traveling Surgeon

Glendale, AZ ยท On-site

$200K - $250K/yr

Act as a resource for Lovet DVMs improving their surgical skills and/or learning new procedures to ... Confident in anesthesia utilizing up to date multimodal pain control approach for various ASA ...

Act as a resource for Lovet DVMs improving their surgical skills and/or learning new procedures to ... Confident in anesthesia utilizing up to date multimodal pain control approach for various ASA ...

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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 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 are the key skills and qualifications needed to thrive as a Multimodal Learning Specialist, 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 cities in Arizona are hiring for Multimodal Learning jobs? Cities in Arizona with the most Multimodal Learning job openings:

Clinical Research Program Manager

St. Joseph Hospital & Medical Center

Phoenix, AZ โ€ข On-site

$39.18 - $58.28/hr

Other

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Where You'll Work
Hello Humankindness: Join a Legacy of Healing at Saint Joseph's Hospital and Medical Center (SJHMC)
Ready to make a real difference? Join SJHMC in Phoenix AZ., a 571-bed nonprofit founded by the Sisters of Mercy over 125 years ago. We're more than a hospital; we're a global destination for life-changing care, embracing patients with humankindness.
Here, your calling will flourish. We're not just a workplace; we're a community dedicated to a mission of service.
Leaders in Specialized Care:
  • Barrow Neurological Institute (BNI): A world-renowned center for groundbreaking neurological research and innovative treatments.
  • Norton Thoracic Institute (NTI): A national leader in advanced thoracic care with pioneering surgical techniques.
  • Level I Trauma Center: One of Arizona's busiest ERs, providing immediate, comprehensive care for critically injured patients 24/7.

Why SJHMC?
  • Culture of Excellence & Well-being: We care for our people, fostering professional and personal growth.
  • Community & Collaboration: Be part of a network committed to global health and well-being.
  • Join a Legacy, Shape a Future: Over 20% of our patients travel internationally for our specialized care.

This is an invitation to join a family of dedicated professionals at the forefront of medical innovation, united by the power of humankindness.
Job Summary and Responsibilities
As our Clinical Research Professional, you will be instrumental in advancing medical knowledge by expertly managing and executing clinical trials. You will ensure the highest standards of data integrity, patient safety, and regulatory compliance throughout the research process.
Every day you will manage trial activities, including participant recruitment, data collection, and documentation, serving as a key liaison for all stakeholders. You will ensure strict adherence to protocols and regulatory requirements from study initiation to completion.
To be successful in this role, you will bring relevant clinical research experience and a strong understanding of regulatory guidelines (e.g., GCP, FDA). Your exceptional organizational skills, attention to detail, and ability to communicate effectively will be crucial in this dynamic field.
The Barrow Neuro Analytics Center (BNAC) is an 18,000-square-foot data science hub that leverages large-scale, data-driven research approaches to better understand and ultimately improve outcomes in neurological diseases. The Barrow Neuroimaging Innovation Center (BNIC) is a 6,000+ square-foot imaging research facility with a research-dedicated 3T MRI and advanced acquisition capabilities, supporting cutting-edge structural and functional neuroimaging for internal and external investigators. Within BNAC, the Multimodal Imaging Genomics (MIG) Lab combines neuroimaging, genomics, and machine learning to study brain aging and secondary injury across cerebrovascular, neurodegenerative, and traumatic brain diseases. The Research Program Manager will provide high-level program management across the MIG Lab and BNIC, coordinating complex, data-intensive projects, aligning timelines and deliverables, and ensuring organized, compliant operations that enable PIs and teams to execute impactful neuroimaging and omics research at scale.
The Research Program Manager - Neuroimaging/Data Science is responsible for the administration, oversight, and coordination of complex research portfolios in neuroimaging and bioinformatics/omics across multiple principal investigators (PIs). The role ensures rigorous planning, execution, and tracking of grants, studies, and datadriven projects, with a strong emphasis on detailed documentation, organized workflows, and ontime delivery of milestones. The Program Manager partners closely with PIs, research administration, and crossfunctional teams (imaging analysts, data scientists, biostatisticians, coordinators) to support study startup, regulatory approvals, data management, and reporting activities. The position requires exceptional attention to detail, the ability to manage numerous parallel tasks and deadlines, and the capacity to build and maintain structured systems that keep PI research programs running efficiently and compliantly.
  • Facilitates research activities in close partnership with PIs by coordinating grant submissions, renewals, progress reports, and portfolio-level planning for neuroimaging and bioinformatics/omics projects, ensuring all components are complete, accurate, and submitted on time.
  • Develops, maintains, and regularly updates portfolio-level workplans (e.g., Gantt charts, task trackers, dashboards) for each PI, tracking key deliverables such as data freezes, analyses, manuscripts, regulatory submissions, and sponsor deadlines.
  • Coordinates the full lifecycle of studies within PI portfolios, from initial concept and feasibility review through IRB/other regulatory submissions, study activation, ongoing amendments, and final study closure, ensuring meticulous documentation and compliance with institutional and federal requirements.
  • Serves as the central operational point of contact for assigned PI portfolios, organizing and leading regular checkins, circulating agendas and minutes, documenting decisions and action items, and following through to confirm timely completion of tasks by all team members.
  • Implements and maintains standardized organizational systems (e.g., shared drive structures, naming conventions, templates, SOPs, project management tools) tailored to neuroimaging and omics workflows, promoting consistency, version control, and reproducibility across projects.
  • Coordinates cross-functional project teams, including imaging core staff, data engineers, statisticians, coordinators, and external collaborators, to clarify roles, define timelines, monitor progress, and promptly address operational barriers.
  • Supports financial and administrative management of PI portfolios by collaborating with research administration on budget development, monitoring expenditures, managing invoicing and effort reporting, and flagging variances or risks early using structured tracking tools.
  • Prepares and quality checks high-detail materials for internal and external stakeholders, including status reports, slide decks, sponsor updates, and metrics summaries (e.g., enrollment, data completeness, analysis progress), ensuring all information is accurate, current, and clearly organized.

Job Requirements
Required
  • Bachelor's Degree or
  • Masters Degree in healthcare related or (neuroscience, bioinformatics, biostatistics, data science, public health, health administration, or similar)
  • Minimum of five (5) years experience in neuroimaging, bioinformatics, and/or multiomics (e.g., MRI/fMRI/diffusion imaging, genomics, proteomics, transcriptomics, large-scale data science)
  • Three (3) years management experience
  • Clinical Research Associate, within 12 - months