Lead Bioinformatics AI Scientist

Baylor Genetics is seeking an accomplished and visionary Lead Bioinformatics AI Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. The individual will serve as a scientific and technical leader, driving the design, development, and implementation of advanced AI methods, algorithms, and workflows to enhance Baylor Genetics’ clinical testing and genomic data analysis capabilities.

Requirements

• Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field.
• 8+ years of professional experience in bioinformatics, AI application development, machine learning and/or genomic data analysis, including 3–5 years in a principal or leadership role.
• Hands-on experience in state-of-the-art GenAI application development, LLM model turning, agentic AI, and model context protocol (MCP).
• Hands-on experience in building and/or adopting novel AI and GenAI solutions for business specific applications, especially in the field of clinical testing and genomic data analysis.
• Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deployment in the production environment requiring fast turn-around-time (TAT) and high reliability.
• 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 (Huggingface, TensorFlow, PyTorch, etc.).
• Hands-on experience with scripting language, such as Bash and Python.
• Strong experience in cloud platform (Azure, AWS, GCP) and data services (data lakehouse/data warehouse).
• Experience in context-aware OCR.
• Experience in databases, including SQL and no-SQL.
• DevOps experience such as unit testing, CI/CD is a plus.

Benefits

• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance