Lead Bioinformatics AI Scientist

Description Baylor Genetics is seeking an accomplished and visionary Lead Bioinformatics AI Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. This 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. The Lead Bioinformatics AI Scientist will play a central role in AI-powered genomics research and data analysis, focusing on identifying novel AI solutions, training and fine-tuning GenAI models, developing AI applications, and more. The successful candidate will combine deep scientific expertise in genomics, bioinformatics, and AI modeling with strong technical skills in AI/ML algorithm design and data analysis, developing next-generation AI-empowered platforms for clinical-grade genomic analysis. QUALIFICATIONS: Education: Master's or higher degree (PhD preferred) in Bioinformatics, Machine Learning and AI, Computer Science, Data Science or related quantitative field. Experience: 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. Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment. Core Competencies: Strong scientific reasoning and analytical problem-solving skills. Proven ability to lead R&D initiatives from concept through validation and deployment. Deep understanding of genomic data, AI applications, and biological context. Excellent written and verbal communication for technical and clinical translation. Collaborative mindset and ability to work across disciplines. Commitment to innovation, quality, and patient-centered outcomes. DUTIES AND RESPONSIBILITIES: Serves as the visionary leader in Bioinformatics AI application development in a clinical genetic testing setting. Provides technical guidance and hands-on support towards building company’s next-generation bioinformatics AI platform. Identifies, prototypes, and develops state-of-the-art AI applications to revolutionize clinical testing and genomic analysis workflow. Designs, develops, evaluates, and deploys novel AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasets. Evaluates, adopts, and customizes GenAI models based on both internal and external datasets to build next-generation clinical genetic testing platforms. Supports both internal and external data requirements by leveraging AI and GenAI capabilities to keep up with the increasing demands of the business. Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals WHY JOIN BAYLOR GENETICS At Baylor Genetics, you’ll join a world-class team dedicated to transforming clinical genomics through scientific excellence and technological innovation. As a Lead Bioinformatics AI Scientist, you’ll have the opportunity to drive the development of new AI- and GenAI-empowered approaches that redefine clinical testing, genomics data analysis, and precision diagnostics. You will collaborate with leading scientists, engineers, and clinicians to deliver discoveries that matter, advancing the frontiers of precision medicine and improving lives through genomic insight.