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Remote Medical Image Processing Jobs in California

Hyperfine

Senior AI Scientist

Palo Alto, CA · On-site +1

$107K - $146K/yr

Ability to quickly learn new concepts and apply to research and development process in an iterative ... Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.

KBR

Remote Special Process Auditor

Torrance, CA · Remote

$51 - $56/hr

Remote Special Process Auditor Belong, Connect, Grow, with KBR! Program Summary NDT Special Process ... with company match, medical, dental, vision, life insurance, AD&D, flexible spending account ...

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Remote Medical Image Processing information

What is remote medical image processing?

Remote medical image processing refers to the analysis and interpretation of medical images, such as X-rays, CT scans, or MRIs, using specialized software and tools from a remote location. Professionals in this field use secure internet connections to access and process images, often collaborating with healthcare providers who are located elsewhere. This approach allows for faster diagnoses, access to expert opinions regardless of location, and improved efficiency in medical workflows. It is widely used in telemedicine and teleradiology to support patient care in underserved or rural areas.

What are the key skills and qualifications needed to thrive as a remote medical image processing specialist?

To thrive as a Remote Medical Image Processing Specialist, you need a solid background in biomedical engineering, computer science, or a related field, with expertise in image analysis and processing techniques. Familiarity with programming languages like Python or MATLAB, as well as proficiency in specialized medical imaging software such as DICOM viewers and machine learning frameworks, is typically required. Attention to detail, problem-solving skills, and effective remote communication set standout professionals apart in this role. These capabilities are crucial for ensuring accurate analysis, collaboration with healthcare teams, and reliable outcomes in diagnostic and research applications.

What are some common challenges faced by professionals working in remote medical image processing roles?

Remote medical image processing professionals often encounter challenges such as maintaining data security and patient privacy while accessing sensitive images over secure networks. Collaborating with radiologists and other clinicians remotely can require clear communication and efficient use of digital collaboration tools. Additionally, ensuring high-quality image processing with limited on-site IT support or varying hardware capabilities can be demanding. Staying updated with evolving imaging technologies and compliance standards is also crucial for long-term success in this field.

What is the difference between Remote Medical Image Processing vs Remote Radiology Technologist?

AspectRemote Medical Image ProcessingRemote Radiology Technologist
CredentialsTypically requires a background in medical imaging, certifications in imaging software, and sometimes radiologic technologist licensesRequires ARRT certification, radiologic technologist license, and clinical training
Work EnvironmentPrimarily computer-based, working with imaging data and software from remote locationsRemote reading or assisting with imaging procedures, often in a clinical setting or via teleradiology platforms
Employer & Industry UsageHospitals, imaging centers, teleradiology companies, medical software firmsHospitals, clinics, teleradiology services, healthcare providers

Remote Medical Image Processing focuses on analyzing and enhancing medical images using specialized software, often from a remote location. In contrast, Remote Radiology Technologists perform imaging procedures and may interpret images, requiring clinical radiologic credentials. Both roles are essential in medical imaging but differ in responsibilities and required certifications.

What are the most commonly searched types of Medical Image Processing jobs in California?

The most popular types of Medical Image Processing jobs in California are:

What are popular job titles related to Remote Medical Image Processing jobs in California?

For Remote Medical Image Processing jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Medical Image Processing jobs in California look for?

The top searched job categories for Remote Medical Image Processing jobs in California are:

What cities in California are hiring for Remote Medical Image Processing jobs?

Cities in California with the most Remote Medical Image Processing job openings:

Remote Medical Image Processing jobs near you

Senior AI Scientist

Hyperfine

Palo Alto, CA • On-site, Remote

$107K - $146K/yr

Full-time

Posted 17 days ago

Job description

About Us
Hyperfine, Inc. (Nasdaq: HYPR) is the groundbreaking health technology company that has redefined brain imaging with the Swoop® system-the first FDA-cleared, portable, ultra-low-field, magnetic resonance brain imaging system capable of providing imaging at multiple points of care in a healthcare facility. Our mission is to revolutionize patient care globally through transformational, accessible, clinically relevant diagnostic imaging. Learn More
About The Role
Job Title: Senior AI Scientist
Location:Palo Alto, CA (Hybrid, 3 days/week)
The Senior AI Scientist is a talented and experienced Scientist with applied experience in Machine Learning who will innovate and expand our product capabilities. The goal of this role is to develop techniques that solve a wide range of challenging scientific and clinical problems in MRI aimed at improving patient outcomes. You will introduce new algorithms and machine learning models that solve difficult imaging tasks, make our models more accurate and robust, and introduce entirely new approaches.
Key Responsibilities
  • Coordinate tasks and goals with other scientists, software engineers, and a clinical team to help develop a new suite of intelligent medical products.
  • Rapidly prototype deep learning models including, but not limited to, classification, detection, segmentation, reconstruction, super-resolution, and denoising; iterate on training models with fast turnaround time.
  • Design and develop new machine learning algorithms while keeping abreast of the latest advances across various labs and conferences.
  • Maintain and continuously improve our existing DL models, with new training data and modeling techniques.
  • Support software releases, and regulatory documentation.

Knowledge, Skill & Abilities:
  • Ability to design new algorithms for practical problems on real-world datasets.
  • Ability to quickly learn new concepts and apply to research and development process in an iterative and incremental fashion.
  • Ability to work efficiently and clear roadblocks in timely manner.
  • Adaptability to fast-changing work environment.
  • Strong communication skills and proactiveness for working in a cross-functional collaborative environment.

Required Education & Experience:
  • PhD in a relevant field, or MS (or equivalent) with 2+ years of applied experience.
  • Experience in Computer Vision, Medical Image Analysis, Machine Learning, or Deep Learning.
  • Experience working with Medical Images and Magnetic Resonance Images.
  • Software engineering experience in developing and maintaining systems using Python.
  • Programming experience in PyTorch and/or TensorFlow.

Physical Demands:
  • This is a hybrid role based out of Hyperfine's office in Palo Alto, CA (minimum 3 days per week)
  • Occasional travel up to 10% of the time for conferences and/or team meetings in Hyperfine's office in Guilford, CT
  • Available nights, weekends, and holidays as business needs require.

Work Authorization: Applicants must be authorized to work for ANY employer in the U.S. Hyperfine is unable to sponsor or take over sponsorship now or in the future of any employment Visa.
Compensation: The annual base salary for this position based out of Hyperfine's office in Palo Alto, CA is between $190,000 - $215,000. This position is also eligible for to participate in Hyperfine's corporate bonus and equity plans. Individual compensation packages are based on various factors unique to each candidate including skill set, relevant experience, qualifications, location, position level, and other job-related reasons.
Agency Resumes: We do not accept resumes from recruitment agencies without a prior agreement in place. Any unsolicited resumes submitted by agencies will be considered the property of Hyperfine and will not be subject to any fees or charges if the candidate is hired.

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