Software Engineer, Knowledge Informatics

Baylor Genetics is a prominent clinical genetic testing laboratory offering a wide range of genetic testing services. They are seeking a data/software engineer to develop and maintain genetic knowledgebases, working closely with cross-functional teams to enhance clinical diagnostics workflows.

Responsibilities:

• 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:

• 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