​This is a full-time Operations Support Engineer role focused on maintaining, monitoring, and providing technical support for software systems related to genomic technologies at Baylor Genetics. The role requires working closely with scientific and engineering teams in a highly regulated healthcare environment, ensuring systems and processes comply with standards like CLIA, CAP, HIPAA, and FDA.

• ​Location: Remote (Headquarters in Houston, TX).
• ​Schedule: The role requires a dedicated shift schedule: Wednesday – Thursday (3:00 PM – 12:00 AM) and Friday – Sunday (6:00 AM – 3:00 PM), with the Friday – Sunday shift alternating every other week to 3:00 PM – 12:00 AM.
• ​Experience: Minimum of 2 years of experience in technical support or software engineering.
• ​Education: Bachelor’s degree or higher in Computer Science, Bioinformatics, or a related field.
• ​Focus: Debugging complex code, system monitoring, issue resolution, code scripting for automation, and ensuring regulatory compliance.

​Key Responsibilities: System Reliability and Compliance

​The engineer is critical for maintaining the technical reliability of systems that support scientific and clinical operations within a regulated setting.

• ​Technical Support & Monitoring: Maintain and monitor support systems (web applications, genomic software). Debug complex code and analyze application logs to assist in issue resolution.
• ​Customer & Escalation Management: Intake, troubleshoot, and resolve customer issues, ensuring timely and accurate follow-through and proper escalation to internal teams (Software Engineers, Bioinformaticians).
• ​Automation & Process Improvement: Assist in code development and code scripting for operations support and automation. Contribute to the design and improvement of support workflows and documentation.
• ​Regulatory Compliance: Ensure support systems and processes align with regulatory standards such as CLIA, CAP, HIPAA, and FDA. Assist in documenting compliance-related activities and support audits.
• ​Cross-Functional Collaboration: Work closely with scientists, software engineers, bioinformaticians, and DevOps/QA teams to diagnose and resolve technical issues and ensure smooth deployment.

​Required Skills and Technical Background

​The position requires foundational scripting/programming competency and familiarity with regulated environments.

• ​Scripting Languages: Demonstrated competency in scripting languages (e.g., Bash, Python).
• ​Programming/Systems: Familiarity with statistical programming languages (e.g., R, Python). Experience with Linux/Unix systems (cloud experience is a plus).
• ​Databases: Hands-on experience with databases and SQL is a plus.
• ​Industry Experience (Preferred): Experience with genomic software systems is a plus. Experience in healthcare-related environments with high regulatory requirements is preferred.
• ​Soft Skills: Strong problem-solving and client-facing skills; excellent written and verbal communication.