emr jobs in San Diego

Senior Data Engineer at Sony to design, build, and maintain scalable data pipelines, dashboards, and reporting solutions supporting PlayStation's payments, subscription, and fraud-prevention systems. Will develop AI-ready data products for analytics, automation, and machine-learning workflows in close partnership with data scientists, analysts, and global payments stakeholders.…See more Requires 7+ years in data engineering or related software/systems work, strong SQL and data modeling, proficiency in Python/Java/scripting languages, and experience operationalizing data for ML and governance. Will mentor team members, communicate technical architectures to executives, and drive platform reliability and security.

Manager of IT Technical Support Services responsible for operational oversight of Server, Storage, and Computer Operations teams at a large healthcare organization. Leads staff managing Unix/Linux/Windows servers, SAN storage, data center infrastructure, and high-availability systems across multiple data centers and cloud environments.…See more Ensures adherence to HIPAA, JCAHO, and Title 22 compliance while delivering service quality against defined SLAs. Requires 5+ years in healthcare IT infrastructure, systems management, and team leadership, with experience in ERP/EMR systems (EPIC, Meditech, PeopleSoft), virtualization (VMware), ITIL processes, and disaster recovery.

This is a senior full-stack engineer role responsible for architecting and building internal platforms and cloud infrastructure that serve operations, finance, lab, and external customers. The engineer will design data models and APIs connecting lab systems, business software (NetSuite, ATS, CRM), and internal dashboards; build robust cloud infrastructure managing provisioning, cost, reliability, and security; and set technical direction on architecture, code quality, CI/CD, and observability across a growing engineering org.…See more The role requires 10+ years of full-stack production experience, deep hands-on cloud infrastructure knowledge, modern frontend (React) and backend skills, and ability to work directly with non-engineering stakeholders to translate ambiguous business requirements into shipped software. Over time, the engineer will build and mentor a team.

Principal-level individual contributor role leading AI/ML architecture and engineering strategy at scale. Requires 13+ years across ML, data engineering, and distributed systems, with 3+ years shipping production Generative/Agentic AI systems.…See more Hands-on expertise in RAG, vector databases, LLM optimization, agentic orchestration, and MLOps/LLMOps practice. Will set technical direction, own architecture decisions, drive platform initiatives, and raise engineering standards across the organization without direct people-management responsibility.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace.…See more Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

Lead software development for an FDA-cleared blood testing platform, overseeing instrument software, application software, cloud connectivity, cybersecurity, and software quality systems. Manage the full software development lifecycle including requirements, risk management, design controls, verification and validation, and regulatory compliance.…See more Work closely with Quality and Regulatory Affairs on FDA submissions, audits, documentation, and post-market support. Direct strategy, roadmap planning, architecture, and release management for a regulated in vitro diagnostic (IVD) medical device.

As a Product Security Engineer 3, you will monitor industry cybersecurity threats and assess their risk to Hologic's diagnostic products, perform vulnerability assessments and security testing, and collaborate with software engineers and field service teams to implement security requirements and qualify networked medical devices. You will develop and automate test procedures for OS patches and anti-virus software, troubleshoot security and network issues in computer-based products, and educate internal teams on network security topics.…See more The role requires a Bachelor's or Master's degree in Computer Science or related field with 4–8 years of experience in computer/network security, Windows and Linux administration, and cybersecurity risk assessment, preferably with medical device or healthcare industry background.