Flexible by design: Part-time, contract, and fully remote with flexible hours (location ... Prior experience with healthcare AI, digital health, or clinical informatics. * Experience with ...
Flexible by design: Part-time, contract, and fully remote with flexible hours (location ... Prior experience with healthcare AI, digital health, or clinical informatics. * Experience with ...
Remote Radiology Informatics information
What's the highest paying job in the radiology field?
In radiology, the highest paying roles are often radiology subspecialists such as interventional radiologists and neuroradiologists, who typically earn higher salaries due to advanced training and specialized skills. Radiology informatics professionals, including remote radiology informatics specialists, also command high salaries, especially with expertise in imaging systems, data management, and informatics tools. Salaries vary based on experience, location, and certification levels.
What do radiology informatics do?
Radiology informatics professionals manage and optimize the use of imaging data, electronic health records, and imaging software systems to improve workflow and patient care. They develop, implement, and maintain radiology information systems (RIS) and picture archiving and communication systems (PACS), often requiring knowledge of healthcare IT, data management, and relevant certifications.
Is informatics in high demand?
Informatics roles in healthcare, including radiology informatics, are in high demand due to the increasing adoption of electronic health records and health IT systems. Professionals with skills in data management, clinical workflows, and health IT tools are sought after across healthcare organizations.
What is the difference between Remote Radiology Informatics vs Remote Radiology Technologist?
| Aspect | Remote Radiology Informatics | Remote Radiology Technologist |
|---|---|---|
| Credentials | Typically requires a degree in health informatics, radiology, or related field; certifications like RHIT or RHIA are common | Requires ARRT certification and radiologic technology license |
| Work Environment | Primarily office-based, working with health IT systems, software, and data analysis | Primarily clinical, working with imaging equipment and patient positioning remotely or on-site |
| Employer & Industry Usage | Hospitals, health systems, and IT companies focusing on radiology data management | Hospitals, imaging centers, and clinics performing diagnostic imaging procedures |
Remote Radiology Informatics focuses on managing radiology data, implementing IT solutions, and optimizing imaging workflows, while Remote Radiology Technologists perform diagnostic imaging procedures remotely or on-site. Both roles are essential in the radiology field but differ in credentials, daily tasks, and work environment.
Can I work from home in radiology?
Remote radiology informatics professionals can often work from home, as the role primarily involves analyzing digital images and managing information systems. A stable internet connection, specialized software, and relevant certifications are typically required, and some tasks may still require on-site presence for equipment or collaborative purposes.
What are popular job titles related to Remote Radiology Informatics jobs in Manhattan, NY? For Remote Radiology Informatics jobs in Manhattan, NY, the most frequently searched job titles are:
What job categories do people searching Remote Radiology Informatics jobs in Manhattan, NY look for? The top searched job categories for Remote Radiology Informatics jobs in Manhattan, NY are:
What cities near Manhattan, NY are hiring for Remote Radiology Informatics jobs? Cities near Manhattan, NY with the most Remote Radiology Informatics job openings:
Physician Annotator - Nuclear Medicine Clinical AI (Part-Time/Contract)
New York, NY • On-site, Remote
Contractor
Posted yesterday
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
Clinical Annotation & Validation
Strategic product feedback
Cross-Functional Collaboration
Why Join Nucs AI
Required Qualifications
Preferred Experience
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.