Role overview
We are seeking an innovative AI Engineer to join our team at the Baylor College of Medicine and Texas Children's Hospital Data Science Center where cutting-edge artificial intelligence meets healthcare delivery. This position offers a unique opportunity to develop and deploy AI/ML models that directly impact patient care and clinical workflows. You'll work at the intersection of multi-omics data, electronic health records, medical imaging, and clinical decision support systems.
What you'll work on
AI/ML Model Development & Deployment
- Collaborate closely with clinical researchers, physicians, and engineering teams to design, build, and deploy machine learning models for healthcare applications.
- Develop AI-powered solutions spanning genomics analysis, EHR data mining, medical imaging interpretation, and diagnostic support systems.
- Implement robust ML pipelines from research prototypes to production-ready systems in clinical environments.
- Ensure models meet healthcare regulatory standards and maintain high performance in real-world clinical settings.
Technical Implementation
- Design and implement scalable AI/ML architectures using modern frameworks (TensorFlow, PyTorch, scikit-learn).
- Build data pipelines for processing complex clinical data from sources like Epic Clarity, REDCap, omics platforms, and medical imaging systems.
- Develop and maintain infrastructure for integrating multi-modal healthcare data (genomics, transcriptomics, proteomics, imaging, EHR).
- Optimize model performance for deployment on various platforms including cloud infrastructure and edge devices.
- Integrate AI models with existing healthcare IT systems and electronic health records
Research and Innovation
- Stay current with latest developments in healthcare AI, including applications in precision medicine, computer vision, and natural language processing.
- Contribute to research publications and presentations at medical and technical conferences.
- Participate in grant proposals and collaborative research initiatives with clinical departments.
- Perform other job-related duties as assigned.
What we're looking for
- Master's degree or PhD in Computer Science, Engineering, Data Science, Bioinformatics, or related field.
- Experience in healthcare or life sciences experience is a plus.
- Background in genomics data processing, bioinformatics pipelines, or clinical informatics.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
- Experience working with large-scale omics datasets (RNA-seq, whole genome/exome sequencing, proteomics).
- Understanding of clinical workflows and electronic health record systems.
- Experience with medical imaging analysis or natural language processing for clinical text.
Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.
Tags & focus areas
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