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Remote Medical Imaging Machine Learning Jobs in Rancho Santa Fe, CA

Data Architect - Clearance Required

San Diego, CA ยท On-site +1

$67.75 - $87/hr

... machine learning models to production). * Willing to work largely remote with periodic onsite collaboration in the vicinity of San Diego, CA. * Demonstrated self-driven problem-solving, with the ...

Sr Technical Architect - Supply chain

San Diego, CA ยท On-site +1

$100K - $143K/yr

Dallas, TX ( REMOTE role) Company Overview: Blue Yonder is a global leader in digital supply chain ... AI and Machine Learning for predictive insights and intelligent decision-making. * IoT and Edge ...

... AI and machine learning, fueling smarter personalization, predictive insights, and business ... Employees and their families are eligible for medical, dental, vision, life, and disability ...

Deep understanding of AI security concepts, including machine learning, threat detection, anomaly ... Fully Remote: We are a completely remote global team. Though we're distributed, we are intentional ...

Senior Lead, Paid Social

San Diego, CA ยท Remote

$105K - $125K/yr

... automation, machine learning, and holistic search strategies * Drive full-funnel Paid Social ... LI-Remote We may use artificial intelligence (AI) tools to support parts of the hiring process ...

Sr/Exec Director GI Medical Strategy

San Diego, CA ยท On-site +1

$270K - $325K/yr

Note that this position can be hybrid in San Diego, CA or South San Francisco, CA or fully remote ... Strong learning orientation, curiosity, and commitment to science and patients * 20-35% domestic ...

Artificial Intelligence and Machine Learning * TensorFlow * PyTorch * Keras * Pandas * NumPy ... Medical Insurance * Dental Insurance * Vision Insurance * Flexible Spending Account (FSA) * 401(k) ...

Showing results 41-60

Remote Medical Imaging Machine Learning information

What is a remote medical imaging machine learning specialist?

A remote medical imaging machine learning specialist is a professional who develops and applies machine learning algorithms to analyze medical images, such as X-rays, MRIs, and CT scans, from a remote location. They work with healthcare providers and researchers to improve diagnostic accuracy and streamline image analysis, often using artificial intelligence techniques. This role typically requires expertise in both medical imaging technologies and advanced machine learning, as well as the ability to collaborate virtually with multidisciplinary teams. Their work helps enable faster, more precise medical diagnoses and can contribute to advances in telemedicine.

How does a remote medical imaging machine learning professional typically collaborate with radiologists and other healthcare experts?

Remote Medical Imaging Machine Learning professionals work closely with radiologists, data scientists, and IT teams to develop and refine AI models for diagnostic imaging. Collaboration often occurs through virtual meetings, shared data annotation platforms, and cloud-based model deployments. Regular feedback from radiologists is essential to ensure the models provide clinically relevant and accurate outputs. This teamwork helps bridge the gap between technical development and real-world clinical needs, leading to more effective and reliable imaging solutions.

What are the key skills and qualifications needed to thrive as a remote medical imaging machine learning specialist, and why are they important?

To excel as a Remote Medical Imaging Machine Learning Specialist, you need a solid background in computer science, mathematics, and medical imaging, often supported by a relevant degree (such as in computer science, biomedical engineering, or a related field) and experience with machine learning frameworks. Familiarity with technical tools like Python, TensorFlow, PyTorch, and DICOM imaging systems, along with experience in medical imaging data annotation and model deployment, is typically required. Strong analytical thinking, attention to detail, and effective remote communication skills help differentiate top performers in this field. These competencies ensure the accurate development and deployment of AI models that support clinical decision-making and improve patient outcomes in healthcare environments.

What cities near Rancho Santa Fe, CA are hiring for Remote Medical Imaging Machine Learning jobs?

Cities near Rancho Santa Fe, CA with the most Remote Medical Imaging Machine Learning job openings:

Data Architect - Clearance Required

San Diego, CA โ€ข On-site, Remote

$67.75 - $87/hr

Full-time

Posted 20 days ago


Job description

Overview

LMI is seeking a Senior Data Architect to support a Department of War mission partner on an enterprise data architecture and modernization effort. This role designs the models, standards, and pipelines that govern how authoritative data is collected, cataloged, stored, integrated, and served across the enterprise, spanning both on-premises and cloud data environments. The architect serves as the subject-matter expert for data architecture and administration, balancing hands-on technical design with data governance, and works across enterprise data platforms, DoD analytics environments, and Microsoft 365. This is a largely remote position; however, candidates must reside in the vicinity of San Diego, CA to support periodic onsite collaboration.

This position requires an active Secret clearance.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Analyze enterprise data requirements and systems flow, and design solutions that facilitate enterprise data engineering across the organization.
  • Develop the models, policies, and standards that govern what data is collected and how it is administered, cataloged, stored, arranged, and integrated for use in systems across the enterprise.
  • Map data pipeline interactions and produce data pipeline blueprints, entity relationship diagrams, and architecture drawings.
  • Design and visualize the enterprise data management framework across on-premises and cloud-based data environments.
  • Research, design, implement, and manage enterprise data engineering systems, and serve as subject-matter expert for data architecture and administration.
  • Support data architecture across enterprise data environments, DoD analytics platforms, Microsoft 365, and other data environments.
  • Manage data governance and administrative requirements, including data sharing and use agreements, policies, procedures, user training and reference materials, change and incident management, Agile boards and backlogs, and cybersecurity accreditations.
  • Coordinate with government technical leads, platform and security teams, and data stakeholders, reporting to the Contracting Officer Representative.
Qualifications

Minimum Qualifications:

  • Active Secret security clearance.
  • Current DoD 8570/8140-compliant baseline certification appropriate for the position, such as CompTIA Security+.
  • Eight or more years of experience in data architecture, data engineering, or enterprise data management.
  • Three or more years of recent experience (within the past five years) with data engineering and DataOps, data warehouse modeling and performance, data quality, data cataloging, data agreements management, moving data between systems, managing data warehouses, building and managing data pipelines, data visualization, data security, web services and APIs, and serving data to end users.
  • Three or more years of recent experience (within the past five years) in data science and analytics across a variety of data structures.
  • Five or more years of recent experience with Agile development and MS Visual Studio or Git operations.
  • Three or more years of recent experience (within the past five years) in either the Microsoft BI stack (Visio, SQL, C#.NET, MS SQL Server, SSIS, SSRS, ASP.NET, IIS, Visual Studio, SQL Server 2012 or later, and Power BI) or a comparable modern data stack (such as DataHub, Collibra, Trifacta, Amazon S3, AWS Lambda, AWS Glue, Amazon Athena, Azure Data Factory, Azure Data Lake, Azure SQL Database, data lakehouse design, Databricks, and deployment of machine learning models to production).
  • Willing to work largely remote with periodic onsite collaboration in the vicinity of San Diego, CA.
  • Demonstrated self-driven problem-solving, with the ability to communicate complex technical concepts to varied audiences.

Preferred Qualifications:

  • Bachelor's degree in computer science, data science, information systems, or a related discipline.
  • Experience with DoD enterprise data and analytics platforms, such as Advana.
  • Experience across the Microsoft SQL Server BI stack, including SSIS, SSRS, and Power BI.
  • Experience with cloud and hybrid data services, including AWS Glue, Athena, and S3, and Azure Data Factory, Data Lake, and Databricks.
  • Experience with data cataloging and governance tooling, such as DataHub or Collibra.
  • Experience deploying machine learning models to production, including ML.NET.
  • Experience supporting U.S. Special Operations Forces or other Department of War mission partners.

Target Competencies:

  • Enterprise data architecture and modeling
  • Data pipeline and integration design
  • Data governance, cataloging, and quality
  • Cloud and hybrid data platform design
  • Stakeholder communication and technical documentation
  • Accountability, responsiveness, and attention to detail

Target Salary Range: $101,301.91 - $174,653.79

Disclaimer:ย The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.ย 

Job LocationsUS-CA-San DiegoEmployment Type: FULL_TIME