About the position

Imagene is seeking an experienced Senior Algorithm Developer to join its growing team. The role involves developing advanced algorithms, including multimodal approaches that integrate diverse data sources, such as pathology imaging, clinical data, and genomic information.

Imagene collaborates with leading global healthcare organizations, providing the opportunity to impact millions of lives by enhancing diagnostic accuracy and patient outcomes.

Ideal candidates will demonstrate a proven track record of successfully addressing complex challenges within multimodal machine learning, combined with a genuine passion for Imagene's mission of revolutionizing precision medicine through AI-driven innovation.

Responsibilities

• Develop and deploy cutting-edge AI technologies in unsupervised learning applications.
• Stay current with and apply the latest state-of-the-art advancements in deep learning research.
• Integrate multimodal data streams into cohesive, unified models.
• Effectively train models leveraging multimodal datasets to optimize performance.

Qualifications

• 5+ Years of experience programming in Python and PyTorch
• 5+ Years of experience with unsupervised/self-supervised deep learning models.
• 3+ Years of experience in multi-modal algorithm development

About Imagene

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.