Lead AI/ML Engineer in Clinical Intelligence
Job Description & How to Apply Below
In this senior role, you will lead the development of AI systems that interpret data in real-time, impacting oncology practices globally. You will engage deeply with various teams to build robust pipelines that support clinical applications. Your work in this role is designed to influence real-world patient insights and clinical decision-making.
Key Responsibilities:
• Design AI systems for clinical data interpretation
• Build pipelines for multimodal data integration
• Create models that adapt to emerging evidence
• Implement systems for real-time literature updates
• Collaborate with interdisciplinary teams for model deployment
Requirements:
• MSc or PhD in relevant fields like Machine Learning
• Extensive experience in applied machine learning
• Preferred background in genomic or biomedical datasets
• Experience with evidence integration approaches
• Proficient in Python and ML frameworks like Py Torch
Enhance patient outcomes through advanced AI methodologies at Gen Trace Dx .
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