Artificial Intelligence Engineer

Summary

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.

Job Duties

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.

Minimum Qualifications

• Bachelor’s degree in Computer Sciences, Statistics, Mathematics, or a related field.
• Two years of relevant experience.

Department-specific Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Bioinformatics, or related field.
• Two+ years of experience developing and deploying AI/ML solutions.
• Strong proficiency in Python programming with experience in ML/AI libraries (NumPy, pandas, scikit-learn, TensorFlow/PyTorch).
• Solid understanding of machine learning fundamentals including supervised/unsupervised learning, deep learning architectures, and model evaluation.
• Experience with ML model deployment and production systems.
• Familiarity with version control (Git) and collaborative development workflows

Preferred Qualifications and Skills

• 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.