Baylor Genetics · 1 day ago
Lead Bioinformatics AI Scientist
United States
Full-time
Remote
Lead/Staff
8+ years expBaylor Genetics is seeking an accomplished and visionary Lead Bioinformatics AI Scientist to advance innovation within the Bioinformatics R&D and Data Science organization. This role involves driving the design, development, and implementation of advanced AI methods and workflows to enhance clinical testing and genomic data analysis capabilities.
BiotechnologyHealth Care
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
Qualification
Required
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
Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment
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
Preferred
DevOps experience such as unit testing, CI/CD is a plus
Company
Baylor Genetics
Baylor Genetics offers a full spectrum of cost-effective, genetic testing, and provides clinically relevant solutions.
501-1000 employees
H1B Sponsorship
Baylor Genetics has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (1)
2023 (3)
2022 (1)
2021 (1)
2020 (3)
Funding
Current Stage
Late StageLeadership Team
Kengo Takishima
Chairman and CEO
Recent News
Company data provided by crunchbase