[Remote] Sr. Bioinformatics ML/AI Engineer

Note: The job is a remote job and is open to candidates in USA. Baylor Genetics is a leader in genetic testing and bioinformatics. They are seeking a Sr. Bioinformatics ML/AI Engineer who will serve as the SME in Bioinformatics ML/AI application development, designing and deploying state-of-the-art ML/AI solutions to enhance genetic testing workflows.ResponsibilitiesServes as the SME in Bioinformatics ML/AI application development in a clinical genetic testing setting. Provides hands-on support towards building the company’s next-generation bioinformatics ML/AI platformDesigns, develops, evaluates, and deploys state-of-the-art ML/AI solutions to gain valuable data insights based on the genetical, phenotypical, and clinical datasetsEvaluates, adopts, and customizes GenAI models based on both internal and external datasets to enhance the overall performance of the genetic testing workflowSupports both internal and external data requirements by leveraging AI/ML and GenAI capabilities to keep up with the increasing demands of the businessCollaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionalsSkillsMaster'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 developmentHands-on experience in clinical bioinformatics pipeline development, including secondary/tertiary analysis, variant interpretation and classification pipeline R&D, and automated report generationHands-on experience in human genetics/multi-omics data modeling and application development, especially in next-generation sequencing dataHands-on experience in machine learning framework (such as Huggingface, TensorFlow)Hands-on experience in automated and scalable AI/GenAI application evaluation, development, and deploymentHands-on experience in RAG AI frameworkHands-on experience with scripting languages, such as Bash and PythonStrong experience in cloud platform (Azure) and data services (data lakehouse/data warehouse)Experience in context-aware OCRExperience in databases, including SQL and NoSQLFamiliarity with advanced data visualization techniquesStrong curiosity and the ability to learn quickly and adapt to a fast-changing environmentDevOps experience such as unit testing, CI/CD is a plusCompany OverviewBaylor Genetics offers a full spectrum of cost-effective, genetic testing, and provides clinically relevant solutions. It was founded in 1978, and is headquartered in Houston, Texas, USA, with a workforce of 501-1000 employees. Its website is https://www.baylorgenetics.com/.Company H1B SponsorshipBaylor Genetics has a track record of offering H1B sponsorships, with 3 in 2025, 1 in 2024, 3 in 2023, 1 in 2022, 1 in 2021, 3 in 2020. Please note that this does not guarantee sponsorship for this specific role.