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Remote Imaging Informatics Jobs (NOW HIRING)

... imaging and informatics platforms. This is a hands-on leadership role that combines strategic ... Location: * Remote: US / Canada What You'll Do: * Scaled and resilient security operations ...

... imaging and informatics platforms. This is a hands-on leadership role that combines strategic ... Location: * Remote: US / Canada What You'll Do: * Scaled and resilient security operations ...

This area levarages AI to study and solve complex problems in the health sciences, including fields such as healthcare informatics, movement and rehabilitation sciences, medical imaging, remote ...

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Remote Imaging Informatics information

What are the key skills and qualifications needed to thrive as a Remote Imaging Informatics Specialist, and why are they important?

To excel in Remote Imaging Informatics, you need a strong background in medical imaging, IT systems, and data management, often supported by a degree in health informatics, computer science, or a related field. Familiarity with PACS, RIS, DICOM standards, and certifications like CIIP (Certified Imaging Informatics Professional) are typically required. Excellent problem-solving, communication, and collaboration skills are vital for coordinating with radiologists, IT teams, and healthcare providers remotely. These skills are crucial for ensuring seamless integration, secure image management, and optimal support of clinical workflows in distributed healthcare environments.

What are some common challenges faced by professionals in remote imaging informatics, and how can they be addressed?

Professionals in remote imaging informatics often encounter challenges such as maintaining secure and reliable access to large imaging datasets, ensuring smooth communication with on-site clinical teams, and troubleshooting technical issues from a distance. To address these, it's important to be proficient in telecommunication tools and remote troubleshooting techniques, and to stay updated on cybersecurity best practices. Establishing clear communication protocols and collaborating closely with both IT and clinical staff also helps ensure workflow efficiency and high-quality patient care.

What is remote imaging informatics?

Remote imaging informatics is a specialized field that focuses on managing, analyzing, and sharing medical images and related data using digital information technologies from remote locations. Professionals in this field develop and maintain systems that allow healthcare providers to access, interpret, and store medical images such as X-rays, MRIs, and CT scans securely and efficiently, regardless of physical location. This facilitates faster diagnoses, greater collaboration among medical teams, and improved patient care. Remote imaging informatics is essential for telemedicine and for supporting hospitals and clinics that may not have on-site specialists.
More about Remote Imaging Informatics jobs
What cities are hiring for Remote Imaging Informatics jobs? Cities with the most Remote Imaging Informatics job openings:
What are the most commonly searched types of Imaging Informatics jobs? The most popular types of Imaging Informatics jobs are:
What states have the most Remote Imaging Informatics jobs? States with the most job openings for Remote Imaging Informatics jobs include:
Infographic showing various Remote Imaging Informatics job openings in the United States as of May 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 100% Remote job distribution.

Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)

NUC S.A.I.

New York, NY โ€ข On-site, Remote

Contractor

Posted 10 days ago


Job description

About Us
Nucs AI is a pioneering MedTech startup focused on transforming prostate cancer care through advanced AI-driven software solutions. Our mission is to deliver personalized treatment options that enhance patient outcomes and streamline clinical workflows. We collaborate with leading medical institutions and pharmaceutical companies globally to achieve groundbreaking results in patient care.
Role Overview
Nucs AI is entering a significant phase of growth as we expand our capabilities across nuclear molecular imaging and broaden the clinical applications of our AI-driven products. As we scale, we are strengthening our clinical annotation and validation efforts to ensure our models remain accurate, relevant, and tightly aligned with real-world oncology care. To support this expansion, we are seeking an experienced Physician Annotator to play a critical role in the development and continuous improvement of our clinical AI solutions.
This role combines hands-on nuclear medicine imaging study review, structured clinical annotation, and thoughtful product feedback to ensure AI models are clinically accurate, reliable, and aligned with real-world care delivery. The Physician Annotator will serve as a key bridge between clinical practice, data science, and product teams - bringing practical expertise to annotation standards, model validation, workflow evaluation, and performance refinement.
As part of a fast-moving, clinically grounded AI team, you will directly contribute to how advanced imaging technologies are translated into trusted tools that support physician decision-making and improve cancer care delivery at scale.
Key Responsibilities
Clinical Expertise
  • As a subject matter expert contribute to the development and refinement of annotation protocols and clinical guidelines for different use cases.
  • Identify edge cases, ambiguities, and potential sources of bias in clinical data and model behavior
  • Participate in applied clinical AI research, including hypothesis development and evaluation of model performance.
  • Assist in generating research insights that may inform internal studies, publications, or regulatory documentation

Clinical Annotation & Validation
  • Perform reviews of nuclear medicine imaging exams and provide clinical insight and annotations to support AI model training and refinement. Clinical review tasks include review of studies with and without AI assistance for identification and delineation of areas of interest on a variety of nuclear medicine images (e.g., FDG, PSMA-PET/CT, SPECT) with precision and accuracy.
  • Validate AI outputs for clinical accuracy, safety, and relevance across defined use cases.
  • Review model errors and edge cases; provide structured clinical insights to improve performance.
  • Advise on clinically meaningful metrics, thresholds, and evaluation criteria.

Strategic product feedback
  • Provide concise, actionable clinical feedback on product features and workflows.
  • Advise product teams on feature prioritization based on clinical impact, risk, and feasibility.
  • Support retrospective and prospective analyses to assess clinical validity and real-world utility of AI models.
  • Evaluate usability and workflow integration from a clinician's perspective.

Cross-Functional Collaboration
  • Collaborate asynchronously with clinical, product, and data science teams.
  • Serve as a part-time clinical advisor supporting rapid iteration and informed decision-making.

Why Join Nucs AI
  • Work at the frontier of clinical AI: Help advance next-generation oncology tools in nuclear molecular imaging.
  • Have real clinical influence: Your work and feedback directly shape model performance, product behavior, and clinical reliability.
  • High scientific rigor: Contribute to clinically grounded development with a strong focus on safety, accuracy, and real-world validity.
  • Collaborate with a high-caliber team: Work closely with clinicians, engineers, and data scientists who move fast and value clarity.
  • Flexible by design: Part-time, contract, and fully remote with flexible hours (location restrictions may apply).
  • Mission that matters: Help improve how cancer care is delivered - at scale, and with real patient impact.

Required Qualifications
  • ABR/ABNM Board certified physician with minimum 3 or more years of experience in Nuclear Medicine (or Diagnostic Radiology with subspecialty certification in Nuclear Medicine).
  • Active, unrestricted medical license in the US.
  • Possesses demonstrated expertise in interpreting PET imaging for radioligand tracers such as FDG, PSMA, and SSTR, and in radioligand therapies.
  • Exceptional attention to detail and a commitment to producing high-quality work.

Preferred Experience
  • Prior experience with healthcare AI, digital health, or clinical informatics.
  • Experience with data annotation, clinical validation, or quality review.
  • Familiarity with ML concepts, model evaluation, or human-in-the-loop systems.
  • Experience advising on product strategy or clinical product development.