Sr Director Software Engineer

Baylor Genetics is seeking a Senior Director of Software Engineering to lead the Bioinformatics Software Engineering team and drive the strategy, architecture, delivery, and operational support of production-grade software platforms that enable clinical genomic diagnostics. This leader will be accountable for building and guiding a high-performing software engineering organization that develops scalable, reliable, validated, and maintainable systems supporting Baylor Genetics’ clinical laboratory, bioinformatics, data, and reporting operations.

This role provides senior technical and people leadership across software engineering, clinical bioinformatics workflow implementation, data integration, platform modernization, and production support. The Senior Director will set engineering priorities, establish standards for software quality and delivery, and ensure that scientific innovation, regulatory expectations, and business needs are translated into secure, efficient, and sustainable software solutions.

The Senior Director will partner closely with R&D, clinical laboratory, quality, operations, product, and executive stakeholders to define technical roadmaps, manage delivery commitments, and ensure production systems meet the reliability, scalability, traceability, and compliance needs of a genomic diagnostics organization. This includes overseeing the transition of research methods and analytical prototypes into validated production workflows, modernizing legacy systems, strengthening software development lifecycle practices, and improving automation, documentation, and release management across the team.

Success in this role requires a seasoned engineering leader with strong software architecture judgment, practical knowledge of bioinformatics and clinical genomics workflows, experience leading software teams in regulated or quality‑controlled environments, and the ability to balance strategic planning with hands‑on technical oversight. The ideal candidate will be a collaborative, accountable, and execution‑oriented leader who can mentor managers and engineers, promote engineering excellence, and deliver software capabilities that advance Baylor Genetics’ diagnostic services and long‑term technology strategy.

• Software Engineering Strategy and Leadership:
  • Define and own the software engineering vision, technical roadmap, delivery priorities, and operating model for the Bioinformatics Software Engineering team in alignment with Baylor Genetics’ clinical, scientific, operational, and business objectives.
  • Lead, develop, and mentor a high‑performing team of software engineers, bioinformatics engineers, fostering a culture of accountability, collaboration, engineering excellence, and continuous improvement.
  • Establish team goals, resource plans, delivery commitments, performance expectations for critical software engineering capabilities.
  • Represent software engineering priorities, risks, dependencies, and tradeoffs to senior leadership and cross‑functional stakeholders.
• Clinical Genomics Platform Delivery and Production Operations:
  • Oversee the design, development, implementation, maintenance, and operational support of production‑grade software platforms, bioinformatics workflows, data systems, and reporting solutions that enable clinical genomic diagnostics.
  • Ensure production systems are scalable, reliable, secure, observable, validated, well‑documented, and maintainable in a clinical laboratory and quality‑controlled environment.
  • Drive modernization of legacy systems, workflow orchestration, automation, containerization, cloud or HPC‑based compute strategies, data integration, and software architecture to improve performance, reliability, and long‑term sustainability.
  • Establish operational support models, escalation processes, incident response practices, root‑cause analysis expectations, and post‑release monitoring for critical software and bioinformatics systems.
• Cross‑Functional Partnership and Delivery Execution:
  • Partner with R&D, clinical laboratory, quality, operations, product, data, and executive stakeholders to translate scientific innovation, clinical needs, and business…