Job Description
Note: The job is a remote job and is open to candidates in USA. Baylor Genetics is a company focused on advancing genetic testing through innovative technology. They are seeking a seasoned machine learning and AI application engineer to develop bioinformatics ML/AI solutions in a clinical setting, enhancing genetic testing workflows and supporting data requirements. Responsibilities • Serves 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 platform • Designs, develops, evaluates, and deploys state-of-the-art ML/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 enhance the overall performance of the genetic testing workflow • Supports both internal and external data requirements by leveraging AI/ML 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 Skills • 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 • Strong curiosity and the ability to learn quickly and adapt to a fast-changing environment • DevOps experience such as unit testing, CI/CD is a plus. Company Overview • Baylor 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 Company H1B Sponsorship • Baylor 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. Apply tot his job