Principal Software Engineer

🕒 il y a 7 jours

🇺🇸 États-Unis – Télétravail

⏰ Temps Plein

🔴 Expert

🧑‍💻 Développeur Full-Stack

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Baylor Genetics, pas via un site d'emploi

Repérée par Remote Rocketship il y a 7 jours

Toujours ouverte sur le site de Baylor Genetics. Vérifiée il y a 2 heures.

Logo of Baylor Genetics

Baylor Genetics

501 - 1000 employés

Fondée en 1978

🏥 Santé

💼 Conseil

🍽️ Alimentation et boissons

Healthcare • Consulting • Food & Beverage

Baylor Genetics est un laboratoire de génomique clinique et de diagnostics de précision affilié au Baylor College of Medicine qui offre des services complets de test génétique et d'interprétation. L'entreprise propose le séquençage complet du génome et de l'exome entier, l'analyse chromosomique par microarray, des tests mitochondriaux, la pharmacogénomique et des dosages spécialisés, accompagnés de conseils génétiques, de soutien pour les prestataires et de ressources pour l'assurance/paiement. Baylor Genetics soutient les prestataires de soins de santé, les chercheurs et les familles grâce à une interprétation améliorée par l'IA, une intégration de données multimodales et des services cliniques et de laboratoire de bout en bout.

Description

• 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

🎯 Exigences

• 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

🏖️ Avantages

• Remote work arrangement • Equal opportunity and inclusive workplace • Reasonable accommodation during the application process

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