Principal Engineer – Healthcare

Job not on LinkedIn

🔥 5 minutes ago

🤠 Texas – Remote

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💵 $149.6k - $249.4k / year

⏰ Full Time

🔴 Lead

🧑‍💻 Full-stack Engineer

🦅 H1B Visa Sponsor

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Logo of McKesson

McKesson

10,000+ employees

Founded 1833

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

McKesson is a diversified healthcare leader specializing in pharmaceutical distribution, medical supplies, and healthcare services. Their solutions facilitate patients' access to life-changing therapies, support efficient operations for pharmacies, health systems, and clinics, and address critical issues such as drug shortages through a resilient supply chain. McKesson provides comprehensive services such as pharmacy management software, consulting, and technology solutions for specialty practices, focusing on improving health outcomes and advancing the pharmaceutical industry. They work closely with biopharma companies to enhance medication access, adherence, and commercialization while supporting oncology and biopharma practices through data-driven insights and real-world evidence.

📋 Description

• Define end-to-end architecture spanning data pipelines, application services, and AI/ML workloads • Design and deliver ingestion, transformation, storage, and governance for genomic and clinical data • Architect and implement robust back-end services, APIs, and front-end experiences • Design, develop, and deploy AI/ML and GenAI capabilities • Establish MLOps foundations for training, evaluation, deployment, monitoring, and responsible AI • Set standards for code quality, testing, security, scalability, and HIPAA/PHI compliance • Shape multi-quarter technical roadmaps and make build/buy and platform decisions • Mentor engineers, lead design and code reviews, and grow technical talent • Evaluate and introduce technologies, frameworks, and practices • Translate business needs from clients, account management, and clinical stakeholders into technical solutions

🎯 Requirements

• Degree or equivalent and typically 10+ years of relevant experience • 10+ years of software engineering experience • Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree preferred • Demonstrated technical leadership on large, complex, distributed systems • Deep expertise in at least two of data engineering, software engineering, and AI/ML engineering, with working fluency across all three • Experience designing and operating distributed systems and data-intensive applications at scale • Proficiency in one or more of Python, Java, C#, Go, or TypeScript • Strong command of SQL and big-data or streaming frameworks • Hands-on experience building and deploying production AI/ML systems using TensorFlow, PyTorch, or scikit-learn • Knowledge of design patterns, object-oriented principles, automated testing, and CI/CD • Knowledge of pipeline orchestration, data modeling, warehouse/lakehouse architectures, data quality, lineage, and governance • Knowledge of model development, LLM/GenAI application patterns, MLOps, evaluation, and responsible and secure AI practices • Experience with AWS, Azure, or Google Cloud; infrastructure-as-code, containers, Kubernetes, and observability • Ability to mentor engineers, set technical vision, and lead through influence • Healthcare, genomics, or life-sciences experience and regulated-data familiarity are a strong plus

🏖️ Benefits

• Competitive compensation package • Annual bonus may be offered • Long-term incentive opportunities may be offered • Equity may be included in compensation • Opportunities for growth and professional development • Equal employment opportunities • Reasonable accommodation for job search or application

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