Senior Director, Software Engineer

🕒 Agosto 24

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

👻 Score fantasma 10%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

Candidatar-se

Encontrar Vagas Remotas Similares

Configurar Alerta de Email para Novas Vagas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Baylor Genetics

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 1978

🏥 Saúde

💼 Consultoria

🍽️ Alimentos e Bebidas

Healthcare • Consulting • Food & Beverage

A Baylor Genetics é um laboratório de genômica clínica e diagnóstico de precisão afiliado ao Baylor College of Medicine, que oferece serviços abrangentes de teste genético e interpretação. A empresa oferece sequenciamento do genoma completo e do exoma completo, análise cromossômica por microarray, testes mitocondriais, farmacogenômica e ensaios especializados, juntamente com aconselhamento genético, suporte para prestadores de serviços e recursos de seguro/pagamento. A Baylor Genetics apoia prestadores de saúde, pesquisadores e famílias com interpretação aprimorada por IA, integração de dados multimodais e serviços clínicos e laboratoriais de ponta a ponta.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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