Software Engineer, Knowledge Informatics

🕒 April 26

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🧬 Biotechnology

🔬 Science

Biotechnology • Science

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• Implementation and execution of data ETL, management and engineering. • Development of user interfaces for curation and data maintenance tools based on user requirements. • Enhance data and knowledge processing effectiveness and efficiency, and improve workflows for internal data analysis, interpretation, and clinical report writing in daily production clinical operations. • Implementation of data models and software frameworks to effectively store and process data, information, and clinical insights. • Monitor database performance and proactively optimize queries and processes for improved efficiency. • Collaborates in a multidisciplinary and regulated clinical diagnostics environment with geneticists, bioinformaticians, software engineers, and IT infrastructure professionals.

🎯 Requirements

• Education: Bachelor of Science degree in computer science, a comparable program, or an equivalent qualification, with 3+ years of comprehensive experience in related field. • Experience in Python, R, or C++. • Experience in data ETL, data management, and data sharing for genomic and clinical applications, especially for next generation human sequencing data. • Knowledgeable of database management systems in SQL database. • Understanding of database architecture, design, and optimization. • DevOps experience such as unit testing, CI/CD is a plus. • Excellent problem-solving and troubleshooting skills. • Strong communication and collaboration skills. • Ability to work in a fast-paced, dynamic environment.