Clinical AI Engineer-Imaging

CARDIO AI LIVEHEART MATTERSJOB POSTINGClinical Engineer – Imaging📍Remote  |  ⏱ Full-Time  |  🎓 Mid–Senior Level  |  💰 Competitive + EquityAbout Cardio AICardio AI is an AI-powered cardiovascular digital solution care built for hospitals, health systems, and clinicians. Our Unified Master Orchestrator integrates specialized AI agents, real-time IoMT patient monitoring, and advanced medical imaging analysis to predict and prevent the five leading cardiovascular conditions: heart attack, stroke, heart failure, sudden cardiac death, and atrial fibrillation. Our platform targets 100 million patients by 2030.The RoleAs our Clinical Engineer – Imaging, you will be the technical bridge between our AI research team and imaging data environment. You will work directly with de-identified echocardiography, cardiac CT, and DICOM-format imaging data to validate, calibrate, and optimize Cardio AI's imaging analysis pipeline, including our MobileNet3, ECG Transformer and HCMAN models within a secure, internet-isolated environment.This is a high-impact, mission-driven role at the intersection of clinical science, medical imaging, and artificial intelligence contributing directly to FDA regulatory submissions and real-world clinical deployment.What You'll Do→ Access and work with de-identified Clinical Data and Imaging Data (echocardiography, cardiac CT, DICOM) within secure Data Environment→ Validate and benchmark Cardio AI's imaging AI models  ECG Transformer and HCMAN — against structured clinical datasets→ Recalibrate and fine-tune transformer-based model architectures within the isolated environment to optimize clinical performance→ Generate performance metrics, validation reports, and clinical evidence packages to support FDA De Novo and 510(k) regulatory submissions→ Collaborate with the data environment technical team on data governance compliance, including HIPAA requirements and model hosting governance review→ Contribute to Cardio AI's imaging pipeline integration with real-time IoMT-RPM patient monitoring data streams→ Support preparation of peer-reviewed publications with our academic partners→ Work within GCP Vertex AI infrastructure for model training and deployment workflowsData Environment — What You'll Work WithThis role operates within secure, internet-isolated Data Environment. All data is de-identified per HIPAA standards. No data may be exported from the environment. You will have access to: EchocardiographyDICOM imaging files Cardiac CTDe-identified imaging data Vital Signs SeriesBP & HR (visit/hourly/minute) Lab & Clinical DataEHR structured records Medication HistoryLongitudinal patient data Imaging MetadataDICOM headers & annotations Technology Stack & AI Models HCMANHierarchical Cross-Modal Attention Network ECG Transformer12-lead waveform arrhythmia analysis Temporal TransformerLongitudinal time-series risk prediction Risk Fusion TransformerUnified multi-model composite output GCP Vertex AIModel training & cloud deployment PyTorch / TensorFlowDeep learning frameworks DICOM / ITK / SimpleITKMedical imaging processing Python / SQLData pipelines & clinical analysis What We're Looking ForRequired→ Bachelor's or Master's degree in Biomedical Engineering, Clinical Informatics, Computer Science, Cardiologist with Machine Learning & Data Science experience or related field→ 2+ years of experience working with medical imaging data (DICOM, echocardiography, cardiac CT, or MRI)→ Hands-on experience with deep learning frameworks (PyTorch or TensorFlow) and transformer-based architectures→ Familiarity with HIPAA compliance, data governance, and de-identified clinical datasets→ Experience with imaging libraries such as ITK, SimpleITK, pydicom, or similar→ Strong Python skills and comfort working in secure, restricted computing environments→ Excellent documentation skills — able to translate technical results into clinical evidence packagesHighly Desirable→ Understanding of cardiovascular disease pathophysiology and clinical workflows→ Experience supporting FDA regulatory submissions (510(k), De Novo)→ Familiarity with GCP Vertex AI or similar cloud ML platforms→ Experience working within air-gapped or internet-isolated data environmentsWhy Join Cardio AI?You will work at the intersection of cutting-edge AI and life-saving medicine — validating models against world-class imaging datasets, contributing directly to FDA submissions, and helping build a platform targeting 100 million patients by 2030.We offer a collaborative, mission-driven team environment, competitive compensation, equity participation, and the rare opportunity to work with one of the world's premier academic medical center datasets.How to ApplySubmit your resume and a brief cover letter describing your experience with medical imaging and AI to:Email: tonywell@cardioailive.comWebsite: cardioailive.comLinkedIn: Search 'Cardio AI Live' on LinkedInCardio AI Live is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.