Jobs at Natera

Supports HR operations for temporary employees, including onboarding, offboarding, personnel transactions, HRIS administration, records maintenance, reporting, data audits, employee inquiries, compliance activities, and process improvements. Coordinates with staffing agencies and internal partners, maintains Workday and related systems, assists with HRIS testing and bulk data uploads, prepares documentation and communications, and supports HR programs and special projects.

Leads and develops a data science team supporting R&D Operations. Owns the data science roadmap, sample governance, data processes, and operational workflows. Directs machine learning, AI, forecasting, optimization, and data product development from prototype through production. Establishes governance, SOPs, data integrity, and reproducibility practices while partnering with engineering, analytics, and R&D stakeholders to improve efficiency, turnaround time, and cost.

Design and build scalable frontend features and reusable UI components using React and TypeScript. Collaborate with PMs, designers, and backend engineers on architecture, state management, API integration, performance, accessibility, and testing. Drive best practices for CI/CD, code quality, documentation, planning, and user experience.

Provides enterprise IT end-user support through walk-up, phone, email, and ticketing channels. Troubleshoots hardware, software, office systems, peripherals, and communication systems; manages issue resolution and customer follow-up. Supports IT projects involving virtualization, asset and software license management, monitoring, identity management, and network and compute platforms. Develops desktop standards and configurations while assisting system administrators as needed.

Designs, develops, tests, deploys, maintains, and optimizes software tools, data platforms, cloud infrastructure, automation systems, and analytics systems for bioinformatics and genomics production environments. Creates architecture, validation, documentation, and training materials; supports regulated workflows; coaches team members; and collaborates with stakeholders. The role requires Python, AWS, database, Linux, Git, genomics file-format, performance optimization, and production software engineering expertise.

Provides Level 2 service and support for clinical laboratory equipment and instrumentation. Responsibilities include installation, troubleshooting, calibration, maintenance, repair, qualification, and validation of automation and sequencing systems. Develops equipment protocols, coordinates installations and MEP requirements, manages preventive maintenance programs, and ensures compliance with IQ/OQ/PQ, GDP, OSHA, CAP, CLIA, and quality-system requirements. Collaborates with laboratory, automation, process engineering, QA, equipment technicians, and vendors to minimize downtime and support new projects.

Supports Clinical Field Specialists in closing business, maintaining customer relationships, driving revenue, and expanding adoption of women’s health products among maternal-fetal medicine and OB/GYN professionals. The role involves customer needs assessment, logistics coordination, compliance, strategic business planning, presentations, and service support. Candidates need a bachelor’s degree or equivalent, at least two years of sales experience, strong sales performance, communication, organizational, analytical, and time-management skills, plus proficiency with Microsoft Office, Gmail, and Salesforce.

Lead architecture, implementation, and delivery of R&D platform infrastructure (cloud, Kubernetes, IaC). Provide technical leadership and mentorship, build AI-native developer tooling, partner with scientists to translate needs into production-grade platform capabilities.

Design and build a modern R&D analytics platform to replace legacy reporting infrastructure. Develop SQL-based data pipelines, transform multi-source data, create KPI workflows and analytics interfaces, and generate actionable insights. Use AI coding tools while rigorously reviewing, testing, and validating outputs. Establish data-quality monitoring and governance frameworks, optimize platform performance, and collaborate with R&D and operational stakeholders.

Manage federal, state, local, and international tax compliance, including income, sales and use, VAT, withholding, and property taxes. Oversee tax filings, reconciliations, projections, audits, controls, regulatory monitoring, third-party consultants, and tax planning. Drive process improvements, support internal and external audits, prepare journal entries, and communicate tax risks and opportunities to leadership. The role may require occasional evenings or weekends.

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.

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.