Baylor Genetics · 2 weeks ago
Sr. Bioinformatics ML/AI Engineer
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.
BiotechnologyHealth Care
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
Qualification
Required
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
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.
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 StageRecent News
Company data provided by crunchbase