Scientific Strategy Lead - Oncology

About Ataraxis AI

Ataraxis AI is a clinical artificial intelligence research laboratory positioned at the nexus of multi-modal AI applications and precision medicine. The organization's mission is to enhance disease predictability through advanced AI techniques that forecast patient outcomes and treatment responses, thereby aiding physicians in optimizing therapeutic choices. Their research focuses on pattern recognition and outcome prediction from complex clinical data using innovative methods including causality analysis (Ataraxis™ Tau), foundation models (Falcon and Kestrel for digital pathology), and survival analysis.

The company has already launched clinical products like Ataraxis™ Breast, which supports personalized breast cancer treatment decisions at leading academic and community clinics worldwide. Ataraxis embraces a flat organizational culture where empowering individuals and rewarding demonstrated initiative are key values. The leadership team includes AI pioneers and prominent oncologists invested in redefining precision medicine.

Supported by over $24 million in funding, including a $20 million Series A from influential venture capital firms, Ataraxis is well-positioned to impact future healthcare technologies globally.

Role Overview

The role oversees expanding Ataraxis's clinical research footprint to additional cancer types beyond breast cancer. The candidate will spearhead efforts to validate and implement the company’s pan-cancer AI platform in new tumor indications, collaborating closely with leadership and cross-functional teams to drive product development from concept to launch.

Key Responsibilities

• Lead the scientific expansion into new oncology indications by developing foundational research and clinical partnerships.
• Forge and maintain collaborations with clinical experts, advisors, and research institutions.
• Coordinate with data and partnership teams to gather and optimize necessary data resources for AI model development.
• Collaborate with engineering and scientific research teams to realize AI models tailored to emerging cancer types.

Candidate Profile

• Demonstrates exceptional motivation and perseverance to independently acquire resources and drive projects forward without reliance on formal authority.
• Exhibits strong scientific literacy, capable of engaging meaningfully with clinical studies, translational research, and therapeutic regimens at a medically informed level; a PhD or MS with research publication credentials is expected.
• Communicates persuasively with clinicians and researchers, articulating the significance and impact of the company’s work.
• Capable of critical thinking and independent analysis in uncertain contexts, employing first principles reasoning and adaptability to new information.
• Comfortable using cutting-edge AI technologies and tools to enhance productivity while mitigating overreliance on automated outputs.

Compensation

The total pay range offered for this opportunity is $115,000 to $255,000 annually.