- Location
- North Carolina, United States · Remote
- Compensation
- $120k – $190k • No equity
- Employment
- Contract
- Experience level
- MID (2–5 years exp)
- Specialization
- Clinical, Wellfound
- Source
- Wellfound
The Merritt Method LLC is seeking an experienced clinical AI, medical imaging, or translational research professional to support our pursuit of NIH PRIMED-AI opportunities. We are currently focused on two programs: PRIMED-AI Model-to-Clinic (M2C) — focused on advancing promising AI-enabled clinical decision-support technologies toward validation and implementation in real clinical environments.
PRIMED-AI Data-to-Model Academic-Industrial Partnership (D2M-AIP) — focused on academic-industry teams developing multimodal clinical AI that combines medical imaging with other clinical data.
The Merritt Method LLC is developing CodexDominion, an AI governance and execution-control platform focused on governed AI execution, model governance, evidence and provenance, human authorization, safety controls, auditability, and healthcare interoperability.
We are looking for someone who can strengthen the clinical, imaging, and research side of the team. Ideal background • Clinical AI or medical imaging research • Multimodal healthcare AI • Clinical decision-support systems • Academic medical center or hospital research • Medical imaging datasets • Clinical validation and study design • IRB and human-subjects research processes • Biostatistics or outcomes research • Translational AI or digital health • NIH-funded research or proposal development • FHIR or clinical data interoperability • Experience working with radiology, pathology, oncology, cardiology, or other imaging-intensive specialties Potential responsibilities • Help shape the clinical use case and research aims • Identify appropriate imaging and clinical datasets • Support validation and evaluation methodology • Help establish academic and clinical partnerships • Contribute to NIH proposal development • Define measurable clinical and technical outcomes • Support clinical workflow and implementation planning • Help connect AI governance and safety controls with real-world clinical workflows • Support technical demonstrations and research-readiness activities We are especially interested in professionals affiliated with, or experienced in, universities, academic medical centers, hospital systems, medical imaging programs, or clinical AI laboratories.
This contractor role supports active NIH funding pursuits. Any long-term engagement, workshare, and compensation beyond the pre-award phase will depend on final team structure, award status, and project scope.
This is not a generic AI role. We are looking for someone who understands how clinical science, medical imaging, AI validation, healthcare data, and translational research come together.