Imagene AI is democratizing precision medicine with multi-modal foundation models and an end-to-end OI Suite. At the core of our technology is a Living Intelligence Engine that continuously integrates and learns from imaging, molecular, and clinical data, making every clinical trial more responsive, every insight more actionable, and every patient journey more personalized.
Our OI Suite is a transformative platform that empowers researchers, clinicians, and pharmaceutical partners across the full spectrum of oncology innovation, from biomarker discovery to patient identification. Our first product, LungOI, is an AI-powered multi-gene test for NSCLC that rapidly profiles biomarkers directly from a standard biopsy image, enabling faster and more informed clinical decisions.
Powered by our state-of-the-art multimodal foundation models- trained on over 1.5 million tissue samples from more than 40 organs and tissue types, along with diverse biological modalities-Imagene AI enables cutting-edge research, especially in data-limited settings.
We are committed to advancing precision medicine and expanding its impact across cancer and beyond. If you are passionate about transforming patient care through AI and innovation, we invite you to join us on this meaningful journey.
Imagene AI is seeking a pharma-experienced oncology leader to bridge clinical development and product strategy for our clinical trial intelligence, powered by our multimodal foundation models.
Our platform integrates histology, DNA, RNA, and routine clinical data to learn each tumor’s response profile and simulate drug-arm outcomes. The clinical trial intelligence translates these capabilities into actionable insights for oncology teams, enabling forecasting of key late-phase metrics, improving confidence in program prioritization, and optimizing study design.
This role sits at the intersection of oncology clinical development and product leadership. You will define how the clinical trial intelligence is applied across drug development and shape its evolution into a critical decision-support product for pharma teams.
Preferred Qualifications