DeepRec.ai is a stealth-stage medtech company focused on applying advanced AI to transform cancer care. They are seeking exceptional AI Researchers / ML Engineers to design, develop, and deploy machine learning models for risk prediction, patient outcome modeling, and clinical decision support using large-scale patient datasets.
Responsibilities:
- Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR)
- Develop models for risk stratification and outcome prediction in oncology
- Work with multimodal data (clinical, genomic, and other structured/unstructured sources)
- Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment
- Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts
- Translate research insights into production-ready systems
Requirements:
- Strong background in machine learning and ML engineering
- Experience working with real-world healthcare data, especially: Electronic Health Records (EHR)
- Longitudinal patient datasets
- Proven ability to design and run rigorous experiments
- Experience deploying models into production environments
- Strong programming skills (Python, PyTorch/TensorFlow, etc.)
- Experience with genomics or multimodal biomedical data
- Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science)
- Experience in healthcare AI, medtech, or clinical data environments
- Background in statistical modeling, causal inference, or time-series analysis