
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.
🕒 5 dias atrás
🇺🇸 Estados Unidos – Remoto (EUA)
⏰ Tempo Integral
🔴 Especialista
🧑💻 Engenheiro Full-stack
👻 Score fantasma 10%
🗣️🇺🇸🇬🇧 Inglês obrigatório
De onde vem esta vaga
Publicada na página de carreiras da Baylor Genetics, não em um site de vagas
Vista pela primeira vez pelo Remote Rocketship 5 dias atrás
Ainda aberta no site da Baylor Genetics. Verificada 15 horas atrás.

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.
• Lead the architecture, design, and development of complex software systems and platforms • Define and champion engineering standards, best practices, and long-term technical roadmaps • Collaborate with cross-functional teams to translate business needs into scalable, secure, and maintainable solutions • Conduct deep technical reviews and guide system design discussions • Ensure architectural consistency across teams • Mentor and coach engineers, fostering technical excellence and continuous learning • Drive root-cause analysis and resolution of complex technical issues • Ensure system reliability and data integrity • Evaluate emerging technologies and guide strategic adoption • Partner with product, laboratory, and bioinformatics teams to optimize workflows and operational efficiency • Ensure compliance with security, privacy, and regulatory requirements • Contribute to innovation initiatives advancing Baylor Genetics’ digital capabilities and competitive advantage • Perform other duties as assigned • Comply with company policies, procedures, and applicable regulatory requirements
• B.S. in Computer Science or related field required • 10+ years of professional software engineering experience, including significant experience in large-scale or complex systems • Expert-level proficiency with C# and .NET, including .NET Core / .NET 6+ • Extensive experience architecting and building React + TypeScript applications • Deep expertise with relational databases such as MS SQL Server, PostgreSQL, or MySQL, including schema design, performance tuning, and data modeling • Proven experience designing, implementing, and governing RESTful APIs and distributed systems • Strong background in software architecture, system design, and engineering best practices • Demonstrated experience leading technical initiatives, mentoring engineers, and influencing cross-functional decision-making • Strong understanding of DevOps principles, CI/CD pipelines, and cloud-native architectures • Excellent analytical and problem-solving skills with the ability to navigate ambiguity and complexity • Equivalent combination of education and experience may be considered • Experience in healthcare, clinical diagnostics, genomics, or NGS environments preferred • Familiarity with laboratory workflows, LIMS systems, or clinical reporting platforms preferred • Experience working in regulated environments such as CLIA, CAP, or HIPAA preferred • Background in designing secure, compliant, and audit-ready systems preferred • Experience with high-performance or data-intensive applications, including optimization and scalability strategies preferred
• Remote work arrangement • Equal opportunity and inclusive workplace • Reasonable accommodation during the application process
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