Join Our Team
Join our team building AI-powered precision oncology tools.
Open Positions
Head of AI Oncology (Co-Founder)
Lead the development of our AI-powered precision medicine platform, focusing on clinical decision support for oncologists. As a co-founder, you'll shape the strategic direction of our oncology AI initiatives, ensuring alignment with our S/P/E framework for multi-modal validation.
Key Responsibilities:
- Define and execute the AI oncology roadmap, integrating Evo2 foundation model with pathway and evidence synthesis.
- Lead cross-functional teams to build capabilities like Will It Work For Me (WIWFM), synthetic lethality analysis, and unified care plans.
- Collaborate with clinical partners to validate predictions (70-85% accuracy) and ensure regulatory compliance.
- + 2 more
Requirements:
- PhD in AI/ML, Computational Biology, or related field with 5+ years in oncology AI.
- Experience with genomic AI models (e.g., Evo2, AlphaFold) and multi-modal frameworks.
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Founding Mobile Engineer
Build the mobile foundation for our conversational AI co-pilot, enabling oncologists and patients to access unified care plans on-the-go. Focus on seamless integration with our S/P/E platform for real-time predictions and evidence-backed recommendations.
Key Responsibilities:
- Develop cross-platform mobile apps (iOS/Android) using React Native or Flutter.
- Integrate with backend APIs for features like WIWFM predictions, trial matching, and toxicity prevention.
- Implement secure, HIPAA-compliant data handling for patient genomic data.
- + 2 more
Requirements:
- 3+ years experience in mobile development, preferably in healthcare apps.
- Proficiency in React Native, Swift, or Kotlin with knowledge of API integrations.
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Founding Genomics Machine Learning Engineer
Engineer the core ML infrastructure for our genomics platform, powering the Evo2 integration and S/P/E framework. Contribute to capabilities like gene essentiality scoring, VUS resolution, and multi-modal AI validation for precision oncology.
Key Responsibilities:
- Implement and optimize Evo2-based models for variant impact prediction (95.7% ClinVar AUROC).
- Develop the S/P/E fusion engine combining sequence, pathway, and evidence signals.
- Build scalable ML pipelines for features like synthetic lethality analysis and resistance prediction.
- + 2 more
Requirements:
- MS/PhD in ML, Bioinformatics, or related field with 3+ years in genomics AI.
- Experience with large language models (e.g., Evo2, transformers) and genomic datasets (ClinVar, TCGA).
- + 2 more
Why Join CrisPRO?
Meaningful Work
Contribute to technology that has the potential to transform cancer treatment and save lives.
Advanced Technology
Work with the latest AI technologies and computational biology tools.
Collaborative Environment
Join a diverse team of scientists, engineers, and healthcare experts.
Growth Opportunities
Develop your skills and career in a rapidly evolving field.