Sr. Bioinformatics ML/AI Engineer
Baylor GeneticsHouston, Texas, United States
Posted October 22, 2025
Full Time
About the Company
Baylor Genetics is a leading diagnostic genomics partner headquartered in Houston’s Texas Medical Center, providing a comprehensive suite of clinically relevant genetic tests—including whole genome sequencing, whole exome sequencing, and targeted panels—to clinicians across all 50 states. Their services span family planning, pregnancy, neonatal and pediatric diagnostics, oncology, and rare disease evaluation, supported by rapid turnaround times and integrated genetic counseling. By combining state‑of‑the‑art sequencing technology with expert genetic counselors, Baylor Genetics helps clinicians shorten diagnostic odysseys, guide precision medical management, and ensure that no patient with a genetic disorder is overlooked. The company’s commitment to accessibility, multidisciplinary support, and a broad testing menu distinguishes it as a trusted partner for precision medicine in the United States.
Job Description
A seasoned machine learning and AI application engineer with strong knowledge and hands-on experience in bioinformatics, genomic/clinical data modeling, AI/GenAI application development, data engineering, and cloud computing. Provides hands-on support towards building the company’s next-generation bioinformatics ML/AI platform.
Requirements
- Master's or higher degree in Computer Engineering, Data Science, Bioinformatics, Machine Learning, and Data modeling, or related field with five (5) years of experience in genomic data analysis and application development.
- Hands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generation
- Hands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing data
- Hands-on experience in machine learning framework (such as Huggingface, TensorFlow)
- Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment.
- Hands-on experience in RAG AI framework
- Hands-on experience with scripting languages, such as Bash and Python
- Strong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)
- Experience in context-aware OCR
- Experience in databases, including SQL and NoSQL
- Familiarity with advanced data visualization techniques
- DevOps experience such as unit testing, CI/CD is a plus.
Benefits
- Equal opportunity employer
- Diverse workforce
- Regulated clinical diagnostics environment