Senior Algorithm Developer

About Imagene

Imagene is a pioneering company in AI-based precision oncology, dedicated to decoding cancer using biopsy images. Our mission is to unlock the power of Oncology Intelligence to transform cancer research and diagnostics.

Imagene’s OI Suite platform leverages our state-of-the-art vision foundation model to provide fast, user-friendly, and data-efficient AI to advance drugs into the clinic. LungOI, our first application, is an AI-based NSCLC multi-gene test that offers rapid biomarker profiling, facilitating informed clinical decisions.

Imagene has been awarded the Digital Health Award for “Best Use of AI in HealthTech” and the Technology Leadership Best Practices Award by Frost & Sullivan and is committed to advancing precision oncology and enhancing care for cancer patients worldwide.

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.