Senior Director, Software Engineer

🕒 vor 12 Tagen

🇺🇸 Vereinigte Staaten – Remote

⏰ Vollzeit

🟠 Senior

🧑‍💻 Full-Stack-Entwickler

👻 Geisterscore 10%

Was es bedeutet: wie wahrscheinlich diese Stelle offen bleibt, ohne dass aktiv eingestellt wird.So liest du es: 60 % oder höher heißt, wir halten das für einen Geisterjob. Niedrigere Werte sind weniger bedenklich.Wie wir werten: Dauer offen, Neuveröffentlichungen, offene Stellen vs Teamgröße, wie schnell Stellen geschlossen werden, und ob ein Gehalt angegeben ist.Hinweis: eine Schätzung aus öffentlichen Daten, kein Urteil über das Unternehmen. Echte Stellen können hoch punkten, nutze es also als Hinweis, nicht als Fakt.

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Lebenslauf hochladen

Baylor Genetics

WebsiteLinkedInAlle Stellen

501 - 1000 Mitarbeiter

Gegründet 1978

🏥 Gesundheitswesen

💼 Beratung

🍽️ Lebensmittel & Getränke

Healthcare • Consulting • Food & Beverage

Baylor Genetics ist ein klinisches Genomik- und Präzisionsdiagnostiklabor in Zusammenarbeit mit dem Baylor College of Medicine, das umfassende genetische Tests und Interpretationsdienste anbietet. Das Unternehmen bietet Gesamtgenom- und Gesamt-Exom-Sequenzierungen, chromosomale Mikroarray-Analyse, Mitochondrientests, Pharmakogenomik und spezialisierte Tests an, zusammen mit genetischer Beratung, Unterstützung für Anbieter und Ressourcen für Versicherungen/Bezahlung. Baylor Genetics unterstützt Gesundheitsdienstleister, Forscher und Familien mit KI-gestützter Interpretation, multimodaler Datenintegration und End-to-End-Dienstleistungen im klinischen und Laborbereich.

Beschreibung

• 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

🎯 Anforderungen

• 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

🏖️ Vorteile

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