Senior Director, Software Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Baylor Genetics

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1978

🏥 Healthcare

💼 Consulting

🍽️ Food & Beverage

Healthcare • Consulting • Food & Beverage

Baylor Genetics is a clinical genomics and precision diagnostics laboratory affiliated with Baylor College of Medicine that provides comprehensive genetic testing and interpretation services. The company offers whole genome and whole exome sequencing, chromosomal microarray analysis, mitochondrial testing, pharmacogenomics, and specialized assays, along with genetic counseling, provider support, and insurance/payment resources. Baylor Genetics supports healthcare providers, researchers, and families with AI-enhanced interpretation, multimodal data integration, and end-to-end clinical and laboratory services.

📋 Description

• Define and own the software engineering vision, technical roadmap, delivery priorities, and operating model for the Bioinformatics Software Engineering team • Lead, develop, and mentor a high-performing team of software engineers and bioinformatics engineers • Establish team goals, resource plans, delivery commitments, and performance expectations • Represent software engineering priorities, risks, dependencies, and tradeoffs to senior leadership and cross-functional stakeholders • Oversee design, development, implementation, maintenance, and operational support of production-grade software platforms, bioinformatics workflows, data systems, and reporting solutions for clinical genomic diagnostics • Drive legacy-system modernization, workflow orchestration, automation, containerization, cloud or HPC compute strategies, data integration, and software architecture improvements • Establish operational support models, escalation processes, incident response, root-cause analysis, and post-release monitoring • Partner with R&D, clinical laboratory, quality, operations, product, data, and executive stakeholders on technical roadmaps and delivery plans • Lead prioritization, scope definition, dependency management, timeline planning, and delivery governance for software initiatives • Guide research algorithms, analytical prototypes, scripts, and proof-of-concept tools into validated production workflows • Define and enforce software development lifecycle standards, quality practices, compliance controls, documentation, validation, and release governance • Establish metrics for software quality, delivery performance, system reliability, incidents, technical debt, and continuous improvement • Lead responsible adoption of AI-enabled engineering, workflow automation, decision-support, documentation, code assistance, issue triage, and operational support capabilities

🎯 Requirements

• Bachelor’s degree in Computer Science, Software Engineering, Bioinformatics, Computational Biology, Genomics, Data Science, or a related quantitative or technical field • 12+ years of experience in software engineering, bioinformatics software development, clinical genomics technology, data platform development, or related computational technology roles • 7+ years of experience leading software engineering teams, including direct people management, performance management, mentoring, hiring, organizational planning, and management of technical leads or managers • Proven experience defining software engineering strategy, technical roadmaps, delivery priorities, resource plans, and operating models • Experience leading development and support of production-grade software systems, bioinformatics workflows, data platforms, workflow automation, or reporting applications used in clinical, healthcare, laboratory, or regulated environments • Strong knowledge of software architecture, system design, API design, data integration, database-backed applications, workflow orchestration, scalable compute, and modern software development lifecycle practices • Experience with requirements management, code review, automated testing, CI/CD, validation support, documentation, release management, incident management, and production support • Practical understanding of NGS data, clinical genomics workflows, bioinformatics pipelines, genomic data formats, variant analysis workflows, laboratory interfaces, or diagnostic reporting systems • Experience translating research prototypes, analytical methods, scripts, or proof-of-concept tools into scalable, tested, validated, documented, and maintainable production workflows • Experience with quality, regulatory, privacy, security, traceability, and audit-readiness expectations in regulated software environments • Technical fluency in Git-based development, Linux, containerization, workflow orchestration, cloud or HPC compute, databases, APIs, and monitoring or observability tools • Ability to communicate complex technical concepts, delivery risks, architectural tradeoffs, and operational priorities to diverse stakeholders • Master’s degree or PhD preferred • Preferred experience with Nextflow, Docker, Kubernetes, cloud platforms, HPC environments, microservices, API-driven architectures, data lakes, data warehouses, enterprise data integration, AI-enabled engineering tools, and CAP/CLIA-regulated environments

🏖️ Benefits

• Equal opportunity employer committed to an inclusive and diverse workplace • Application-process accommodation support