Software Engineer, Knowledge Informatics

Baylor Genetics, a prominent clinical genetic testing laboratory, offers an extensive array of genetic testing services. They are seeking a data/software engineer with strong knowledge and hands-on experience in genetic knowledge management to develop and maintain their comprehensive genetic knowledgebases.

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.tilized dog as a software framework
• 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
• Excellent problem-solving and troubleshooting skills
• Strong communication and collaboration skills
• Ability to work in a fast-paced, dynamic environment
• DevOps experience such as unit testing, CI/CD is a plus