Top Tech Jobs & Startup Jobs in Los Angeles, CA

Build and maintain production software implementing healthcare interoperability standards, including FHIR and HL7. Develop APIs, services, data pipelines, validation logic, data models, and automated tests while preserving clinical meaning and data quality. Collaborate with engineers, data scientists, healthcare professionals, product managers, and operations staff to deliver scalable healthcare solutions.

Lead data science projects from ideation through enterprise impact, building scalable and well-tested solutions that improve healthcare outcomes. Apply probability, statistics, machine learning, SQL, and Python to develop data-driven products and insights. Partner with stakeholders, assess product performance, identify strategic improvements, mitigate risks, and mentor teammates while aligning initiatives with business objectives.

Lead UX design initiatives across a healthcare product suite, solving complex user and business problems through research, prototyping, interaction and visual design. Mentor designers, influence cross-functional teams, contribute to the design system, and establish scalable design standards. Collaborate with engineering, product, leadership, and data science teams to integrate ML features and deliver intuitive, consumer-quality healthcare experiences.

Leads UX strategy for clinical decision support, treatment planning, care coordination, and longitudinal healthcare workflows. Manages and develops senior designers, guides responsible AI-enabled experiences, and partners with Clinical, Product, Engineering, Data Science, and Research leaders. Establishes design direction, improves research and execution practices, and connects user needs, clinical evidence, technology, and business outcomes to drive provider adoption and product impact.

Analyze clinical data completeness, reliability, and effectiveness across healthcare facilities, vendors, interoperability networks, and integration pathways. Reconcile claims with clinical records, identify missingness and latency, report ADT coverage, evaluate data technologies, recommend vendor configurations, and prioritize facilities for direct acquisition. Partner with product, engineering, and clinical teams to improve scalable, trustworthy data pipelines and support TEFCA and QHIN strategy.

Leads the Data Products engineering pillar, owning clinical data ingestion, canonical modeling, pipeline scalability, observability, and enterprise reporting foundations. Manages engineering teams and cross-functional delivery while advancing AI-assisted software development practices. The role requires building reliable, scalable data platforms for regulated healthcare environments, improving data quality and readiness, and translating technical strategy into business outcomes.

Build and maintain scalable infrastructure platforms supporting domestic and international workloads. Develop CI/CD, declarative lifecycle management, Kubernetes clusters, monitoring, and automation systems. Troubleshoot infrastructure issues, respond to alerts, minimize downtime, streamline delivery pipelines and database changes, and help guide SRE team direction. Collaborate with engineers, data scientists, and technology professionals while promoting a high-performance, cross-functional culture.

Build and maintain scalable full-stack healthcare software in collaboration with clinicians, operators, and product managers. Own solutions from understanding business problems through delivery and measurement, make independent technical and product decisions, incorporate AI agents, and improve development practices through testing and documentation. The role involves developing and refactoring complex distributed systems while connecting engineering work to user and business outcomes.