Nucs AI
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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.
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