Oncology Experts for Training AI - USA job opportunity at Gramian Consultancy.



Date2026-02-05T16:24:50.482Z bot
Gramian Consultancy Oncology Experts for Training AI - USA
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Pattern: Contract
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United States Of America

Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. Role Overview We are seeking oncology medical experts to participate in a high-impact project focused on developing and evaluating agentic AI capabilities in healthcare. The primary goal is to create high-quality evaluation data to assess how AI agents can assist oncology patients and advocates in matching with appropriate cancer clinical trials Commitments Required : 30-40h/week Project Duration: 2+ months Locations: USA ( US Medical School. Completion of Internal Medicine Residency in US OR Completion of Hematology Oncology Fellowship in US) Selection Process : One Client Interview What does day-to-day look like? Patient Information Gathering: Review Electronic Health Records (EHR) and synthetic oncology patient data to create comprehensive summaries of cancer diagnoses, staging, biomarkers, and treatment history. Database Searching: Perform complex searches across oncology clinical trial databases (e.g., ClinicalTrials.gov) using cancer types, biomarkers, lines of therapy, and other relevant filters. Eligibility Assessment: Conduct deep-dive reviews of oncology-specific inclusion and exclusion criteria, including prior treatments, washout periods, and comorbidities, to determine patient–trial compatibility. Clinical Triage & Analysis: Evaluate oncology trials based on scientific rationale, study design, mechanism of action, and site reputation to compile refined shortlists. Risk-Benefit Analysis: Perform comparative risk-benefit analyses of selected oncology trials to determine the most appropriate options for a patient. AI Collaboration: Use and interact with AI tools (e.g., Gemini) to generate agentic traces and provide feedback on AI-generated oncology trial matching results. MD, DO, or equivalent clinical degree US Medical School Completion of US Medical School OR Internal Medicine Residency Completion of Hematology Oncology Fellowship in US Demonstrated oncology expertise and a strong understanding of oncology clinical trial protocols. Strong experience working with Electronic Health Records (EHR) and oncology-focused clinical trial databases. Expert-level ability to interpret oncology inclusion/exclusion criteria, biomarkers, and complex cancer-related medical literature. Proven capability in performing complex oncology clinical assessments and comparative risk-benefit analyses.

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