Lead Bioinformatics Programmer

Monday - Friday, 8 a.m.

- 5 p.m.

The Lead Bioinformatics Programmer oversees the design, development, and maintenance of software systems that support large-scale biomedical and data science research initiatives. This role is responsible for coordinating the work of software developers, data engineers, and system architects to deliver secure, scalable, and high-performance computing systems for translational and clinical research. The Lead Bioinformatics Programmer serves as the technical and organizational lead bridging computer engineering, data science, and biomedical research teams-ensuring timely delivery, compliance with institutional standards, and sustainability of computing infrastructure.

• Formulates and defines project scope, objectives, and technical requirements through collaboration with principal investigators, clinicians, and data scientists.
• Leads the planning, architecture, and development of research-oriented software applications and computational platforms (web, cloud, and HPC).
• Designs and supervises scalable, secure system architectures leveraging technologies such as AWS (S3, EC2, SQS, SNS), Docker, and distributed computing frameworks.
• Oversees development of APIs and microservices for research pipelines and data management systems.
• Implements and monitors project management best practices including sprint planning, task allocation, and automated testing workflows.
• Ensures institutional compliance for HIPAA and data security in system design and deployment.
• Coordinates cross-functional communication among clinical informatics, data science, and engineering teams to ensure project alignment.
• Provides technical mentorship and guidance to developers; reviews code for scalability, maintainability, and reliability.
• Leads system performance evaluation and optimizes compute and data workflows for high-throughput biomedical research.

• Bachelor's degree in Computer Science, Biological Science, or a related field.
• Five years of relevant experience.

• Master’s degree in Computer Science, Computer Engineering, or a related field.
• Five years of relevant experience in software development, system architecture, or project management.
• Experience managing software projects in research or healthcare settings.
• Proficiency in technologies such as Typescript, Python, and cloud infrastructure (AWS).
• Experience leading cross-functional engineering teams and deploying secure cloud-based or HPC systems.
• Familiarity with biomedical data systems, AI/ML pipelines, or data integration platforms.

Baylor College of Medicine is an Equal Opportunity/Affirmative Action/Equal Access Employer.