
11 - 50 employees
Founded 2020
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $23M Series B - Imagene AI on 2025-06
Healthcare • Artificial Intelligence • SaaS
Imagene AI is an oncology-focused company that provides a SaaS platform (OI Suite / CanvOI) powered by a proprietary Cross-Modality Intelligence Engine. The company continuously learns from imaging, histopathology, gene expression, mutational profiles, and clinical records using deep learning, foundation models and large language models to enable biomarker discovery, mechanism-of-action exploration, patient identification and trial optimization for biopharma and clinical teams. Imagene AI emphasizes rapid, AI-enabled biomarker detection and digital pathology workflows to shorten time-to-treatment and improve clinical trial design and therapeutic success, and partners with healthcare and life-sciences organizations.
🔥 10 minutes ago
Where this job comes from
Posted on Imagene AI's careers page, not through a job board
First seen by Remote Rocketship 10 minutes ago
Still open on Imagene AI's site. Checked 0 minutes ago.

11 - 50 employees
Founded 2020
🏥 Healthcare
🤖 Artificial Intelligence
☁️ SaaS
💰 $23M Series B - Imagene AI on 2025-06
Healthcare • Artificial Intelligence • SaaS
Imagene AI is an oncology-focused company that provides a SaaS platform (OI Suite / CanvOI) powered by a proprietary Cross-Modality Intelligence Engine. The company continuously learns from imaging, histopathology, gene expression, mutational profiles, and clinical records using deep learning, foundation models and large language models to enable biomarker discovery, mechanism-of-action exploration, patient identification and trial optimization for biopharma and clinical teams. Imagene AI emphasizes rapid, AI-enabled biomarker detection and digital pathology workflows to shorten time-to-treatment and improve clinical trial design and therapeutic success, and partners with healthcare and life-sciences organizations.
• Lead Imagene’s Pharma Programs team, scientific operations and collaborative research programs • Oversee execution of collaborative research programs with biopharmaceutical, academic and healthcare partners • Translate partner objectives and complex biological questions into well-designed AI-scientific programs • Provide end-to-end leadership across project conception, study design, model-development alignment, analysis, interpretation and scientific communication • Lead and manage the scientific team, establishing responsibilities, development pathways and a culture of scientific rigor, accountability and collaboration • Ensure alignment of partner projects with partner objectives, clinical relevance and Imagene’s technological capabilities • Provide scientific oversight of biological and clinical rationale, study design, data collection, cohort definition, endpoint selection, analysis, interpretation and final delivery • Collaborate internally with Data Science, Product and Operations teams
• MD or PhD or in life sciences, biomedical sciences or a related field • 8+ years of relevant experience in the pharmaceutical, biotechnology, diagnostics or healthcare technology industries, including significant experience in translational medicine, drug development, biomarker research or clinical science • 3+ years of demonstrated operations experience leading scientific teams and managing complex, multidisciplinary programs • Strong record of leading external collaborations with biopharmaceutical companies, academic institutions, healthcare organizations or research consortia • Deep understanding of oncology, translational research, biomarker development and the drug-development process • Experience designing and overseeing clinical, translational or biomarker studies, including cohort definition, endpoint selection, data interpretation and scientific reporting • Strong analytical capabilities and ability to integrate clinical, pathological, molecular and computational findings • Ability to communicate complex scientific concepts clearly to scientific, clinical, technical and executive audiences • Ability to influence cross-functional teams and operate effectively in a fast-paced, evolving environment • Excellent written and oral communication skills • Preferred: Experience with artificial intelligence, digital pathology, computational biology or data-driven healthcare products • Preferred: Experience interpreting genomic, transcriptomic, proteomic or other multi-omics data
• Remote work arrangement
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