Jobs at Natera

Own the strategy, roadmap, prioritization, and delivery of core software products supporting genetic testing operations. Translate business, clinical, and user needs into product requirements, collaborate with engineering, R&D, design, QA, and operations, and drive stakeholder alignment. Measure product success, improve user experience and operational efficiency, gather feedback, monitor market trends, and guide scalable software solutions through development.

Leads and coaches an inside sales team, develops sales strategies and call campaigns, manages budgets and performance goals, maintains lead-generation processes, analyzes CRM and call metrics, and presents performance updates to senior management. Partners with Marketing, Sales, and other stakeholders to increase customer acquisition, revenue, market share, and retention.

Build and ship SMART on FHIR applications, FHIR R4 APIs, CDS Hooks services, and EHR integrations for Epic, Oracle Health, and other platforms. Develop Java and Spring Boot backend services on AWS, manage PHI securely under HIPAA, and support HL7 v2 interfaces. Lead EHR vendor onboarding and production go-lives, collaborate with clinicians and health system IT, write technical designs, review code, mentor engineers, and participate in on-call support.

Design, develop, test, deploy, maintain, and optimize software tools, data platforms, cloud infrastructure, automation systems, and analytics systems for bioinformatics and genomics production environments. Create architecture, validation, documentation, and training materials; monitor system performance and scalability; support regulated workflows; and collaborate with leadership and cross-functional stakeholders. The role requires strong Python, AWS, database, Linux, Git, bioinformatics, genomics, and NGS expertise.

Leads and operationalizes Natera’s enterprise data privacy program across commercial, clinical, and product environments. Responsibilities include privacy impact assessments, regulatory and contract reviews, privacy-by-design integration with engineering, data governance, responsible AI and analytics use, clinical research privacy, consent and compliance frameworks, and third-party data governance. The role builds scalable processes, advises senior stakeholders, and mentors privacy professionals while balancing regulatory risk with business enablement.

Owns Oracle Fusion Financials as the single functional owner, including product roadmap, backlog, configuration, finance transformation, delivery, reporting, automation, audit readiness, and adoption. Partners with Finance executives, governs an offshore managed service provider, leads consolidation and intercompany solutions, and supports project and lease accounting. The role requires deep Oracle Fusion expertise, finance and accounting knowledge, SOX compliance experience, executive communication, integration leadership, and AI-enabled process transformation.

Leads architecture and hands-on development of scalable data pipelines, governed data models, semantic layers, analytics products, and AI workflows. Writes production SQL and Python, establishes engineering standards, mentors engineers, and drives design reviews. Builds agentic and LLM solutions using retrieval and managed AI services while ensuring data quality, observability, reliability, privacy, and regulatory compliance for PHI and genomic data. Partners with stakeholders, platform teams, and governance forums to deliver trustworthy business solutions.

Embed with a business domain to map workflows, design agent-enabled future-state processes, build and connect production automation (LLMs, agents, RAG), run and monitor agents with observability and evals, and partner with domain leaders to deliver measurable KPI improvements.

Work with a business domain to map workflows, design agent-driven workflows, build and integrate agent and automation pipelines, deploy and run agents in production, monitor KPIs and observability, and iterate with human-in-the-loop checkpoints to reliably improve business outcomes.

The Senior Generative AI Engineer will design and deploy AI/ML solutions, focusing on Generative AI systems and their operational excellence across various sectors like R&D and Clinical Trials.