​This is a full-time Operations Support Engineer role at Baylor Genetics, responsible for maintaining and monitoring technical software systems, resolving customer issues, and supporting operations related to genomic technologies. The engineer will act as the crucial link between customers and internal technical teams (scientists, software engineers, bioinformaticians), ensuring compliance with strict healthcare regulations (CLIA, CAP, HIPAA, FDA). The role involves a non-traditional, alternating schedule that includes evening and weekend shifts.

• ​Location: Remote (Headquarters in Houston, TX, 77021, USA).
• ​Experience: Minimum of 2 years of experience in technical support or software engineering.
• ​Schedule: Alternating non-traditional schedule (e.g., Mon-Tue evenings, Fri-Sun alternating weekends).
• ​Focus: Technical support, system monitoring, code debugging, and process automation within a high-compliance genomic/healthcare environment.

​Key Responsibilities: Monitoring, Debugging, and Compliance

​The engineer handles complex technical issues while ensuring operational stability and regulatory adherence.

• ​Technical Support and Monitoring: Maintain and monitor support systems for technical software, including web applications and genomic software. Intake, troubleshoot, and resolve customer issues, ensuring proper and clear escalation to internal teams.
• ​Code Analysis: Debug complex code and analyze application logs to assist in issue resolution.
• ​Process Improvement: Assist in code development and code scripting (automation) for the improvement of operations support. Contribute to the design and documentation of support workflows.
• ​Cross-Functional Collaboration: Work closely with scientists, software engineers, and bioinformaticians to diagnose and resolve technical issues.
• ​Regulatory Compliance: Ensure support systems and processes align with regulatory standards such as CLIA, CAP, HIPAA, and FDA, and assist with related documentation and audits.

​Required Background and Skills

​The role demands a technical background (Computer Science/Bioinformatics) and scripting proficiency.

• ​Education: Bachelor’s degree or higher in Computer Science, Computer Engineering, Bioinformatics, or a related field.
• ​Scripting: Demonstrated competency in scripting languages (e.g., Bash, Python).
• ​Systems: Familiarity with Linux/Unix systems; cloud experience is a plus.
• ​Data: Familiarity with statistical programming languages (e.g., R, Python) and hands-on experience with databases and SQL is a plus.
• ​Preferred Experience: Experience with genomic software systems and experience in healthcare-related environments with high regulatory requirements.