Natera

Artificial Intelligence

• Review oncology patient records to determine whether cases meet clinical and payer policy requirements.
• Serve as an escalation point for complex cases that cannot be accurately classified by AI workflows.
• Analyze challenging clinical scenarios, including patients with multiple cancer diagnoses, complex treatment histories, and ambiguous documentation.
• Document findings and recommendations within internal systems including Salesforce, LIMS, and other workflow tools.
• Ensure accuracy and consistency of clinical review outcomes.
• Perform ongoing audits of AI-generated clinical determinations and data classifications.
• Evaluate AI performance against established clinical review standards.
• Identify errors, trends, and opportunities to improve automation accuracy.
• Participate in validation activities for new AI models, workflows, and clinical review processes.
• Provide structured feedback to improve future AI performance.
• Partner with Product, Engineering, and Data Science teams to improve clinical AI capabilities.
• Help define clinical decision logic and requirements used in AI-driven workflows.
• Translate clinical review findings into actionable recommendations for automation improvements.
• Support testing and implementation of new AI-enabled solutions.
• Contribute to the long-term evolution of Natera's oncology clinical intelligence platforms.
• Develop expertise in payer coverage policies relevant to our Signatera product and oncology testing.
• Evaluate clinical documentation against coverage requirements.
• Assist in identifying cases that may require additional clinical review or reimbursement support.
• Stay current on evolving oncology standards, treatment pathways, and reimbursement trends.

Clinical Review RN, Oncology AI Review

Product Manager

• Define and drive multi-year product strategy and roadmap across one or more RIR components, ensuring alignment to clinical quality, regulatory requirements, and commercial scale objectives.
• Influence platform-level technical direction in partnership with engineering leadership.
• Partner closely with software engineering, bioinformatics, clinical domain experts, quality, regulatory, and other product teams.
• Translate business, clinical, and operational needs into clear, actionable product requirements.
• Define and evolve end-to-end user workflows, including UI/UX requirements and supporting backend functionality.
• Drive cross-team alignment on shared data contracts and workflow standards.
• Mentor and raise the bar for product management within the RIR organization.
• Own measurable improvements in clinical workflow efficiency, reliability, and operational scalability.
• Establish prioritization frameworks that balance regulatory risk, clinical impact, technical scalability, and business outcomes across RIR investments.
• Develop and track quantitative metrics related to usability, performance, reliability, and adoption.
• Lead delivery teams with clear strategic direction, ensuring requirements reflect long-term platform goals, validation readiness, and system interoperability.
• Proactively identify systemic risks, architectural constraints, and workflow inefficiencies that may limit scale or regulatory robustness, and lead cross-functional initiatives to resolve them.
• Partner with Quality and Regulatory leadership to shape validation strategy, risk classification, traceability, and audit readiness for RIR software systems.
• Create clear, data-driven written proposals and presentations to support stakeholder alignment and decision-making.
• Act as a subject matter expert for owned components, supporting design, testing, validation, rollout, and ongoing use.

Senior Product Manager, Clinical Genomics

Translator

• Build, scale, and lead a specialized team of field-facing translational scientists.
• Author and execute the regional data engagement strategy.
• Oversee secure regional tracking architecture and data ingestion pipelines.
• Command the interface between field operations and internal leadership.
• Manage lifecycle of all regional investigator-initiated trials (IITs) and institutional registries.
• Secure and manage institutional data-sharing models and biobanking initiatives.
• Represent Natera as a senior scientific authority at major oncology congresses.

Director, Field Translational Science – Oncology

Operations

• Monitor claim status activity across clearinghouses and payer systems to ensure claims are successfully transmitted, received, and processed.
• Analyze large claim populations to identify trends, bottlenecks, acceptance issues, and payer-specific workflow challenges.
• Investigate rejected, unacknowledged, delayed, or "stuck" claims and determine root causes.
• Partner with Billing Operations, Insurance Verification, Denials Management, Coding, Configuration, Engineering, and Automation teams to resolve claim processing issues.
• Identify opportunities to automate manual claim status workflows and improve operational efficiency.
• Serve as a subject matter expert on clearinghouse operations, payer connectivity, claim submission workflows, EDI transactions, and claim status processes.
• Research payer-specific requirements, acceptance rules, rejection patterns, and status behaviors.
• Develop recommendations for workflow improvements that increase claim acceptance rates and reduce downstream denials.
• Track and trend claim status performance metrics and communicate findings to operational leadership.
• Support implementation and optimization of automation solutions related to claim status management and payer communications.
• Create process documentation, job aids, and operational guidance to support standardized workflows.
• Assist with escalation management and complex claim routing decisions.
• Collaborate with internal and external stakeholders to identify systemic issues and implement sustainable corrective actions.

EDI & Claims Operations Analyst

Machine Learning Engineer

• Lead the technical design and deployment of multi-agent systems capable of autonomous hypothesis generation and tool use, including genomic variant calling, LLM fine-tuning, and clinical trial matching pipelines
• Incorporate and advance Natera’s transformer-based foundation model by integrating DNA, RNA, and H&E imaging modalities for multi-step biological reasoning and tool use
• Implement advanced LLM reasoning frameworks, such as ReAct and Chain-of-Thought, alongside reinforcement fine-tuning (RFT) to ensure agents provide accurate, explainable clinical rationales
• Architect systems that autonomously translate complex, multi-modal data into diagnostic and therapeutic insights with human-verifiable reasoning and tracing
• Own the technical strategy and product roadmap for agentic workflows across the Biopharma Solutions and Therapeutics Discovery division, converting complex clinical challenges into scalable AI systems
• Establish production-grade machine learning engineering standards and reproducible architectures across the AI team to ensure absolute model transparency and scientific auditability
• Drive cross-functional alignment and technical consensus by defending agentic architectures and biological reasoning frameworks in rigorous peer reviews

Senior Machine Learning Scientist, Agentic AI

Customer Support

• Provide timely and accurate information to international customers and internal teams via phone, email, and other electronic channels
• Manage high volume of international customer accounts and their support needs
• Resolve customer inquiries and issues promptly and communicate the resolution clearly and logically. Troubleshoot the issue and identify the root cause
• Partner with Sales team counterparts to follow-up on missing information needed to process and report ordered tests
• Document all customer interactions, communications, actions taken, and follow ups in our customer service applications
• Collaborate with internal teams such as sales, product development, and lab operations to ensure customer needs are met effectively
• Coordinate with logistics and shipping teams to resolve any shipping, customs, or delivery issues related to kits or samples
• Provide training and educational support to our internal teams and customers on test ordering processes
• Stay updated on the latest company products, services, and processes (including samples required, test turnaround time, required order information, required waivers, etc…) to offer the best support
• Track and report common customer issues, providing feedback for process improvements or product enhancements
• Lead or support special projects and other duties as required to meet business needs
• Assist in testing upgrades to and development of new customer service tools
• Stay current with Natera training requirements and assist with mentoring and training new employees on international support processes
• Note this role works with PHI on a regular basis both in paper and electronic form and has access to various technologies to access PHI (paper and electronic) to perform the job

Bilingual International Customer Support Representative

Manager

• Architect and implement the 'White Glove' infrastructure, including the creation of standardized email templates, outreach cadences, and automated triggers for the onboarding journey.
• Manage and mentor a team of 4 CSMs, providing coaching on provider engagement, issue resolution, and data-driven account management.
• Build and maintain a suite of reporting tools and dashboards (utilizing Snowflake and PowerBI) to track team KPIs, sample throughput, and provider health scores.
• Define the 'Success Framework' for new provider onboarding, establishing clear benchmarks for what constitutes a 'frictionless' transition to Natera.
• Lead the integration of CRM automations and communication platforms to ensure the team can scale their 'white glove' touch without a proportional increase in manual labor.
• Identify and mitigate systemic friction points by synthesizing feedback from your team and collaborating with Product, Engineering, and Clinical Operations.
• Quantify the ROI of the White Glove program, delivering regular reports to executive leadership on provider retention, time-to-first-result, and long-term test utilization.
• Standardize cross-functional workflows with MSLs and Sales to ensure a unified Natera voice during the critical first 90 days of the provider relationship.
• Quantify the impact of high-touch intervention on long-term provider retention and test utilization.

Manager, Oncology Provider Experience

• Design and implement foundational GenAI services: vector search, prompt tuning, agent orchestration, document extraction, context/memory services, model/endpoint registry, feature/embedding stores, guardrails, and evaluation pipelines
• Build the underlying infrastructure for autonomous and semi-autonomous AI agents including support for agent collaboration, reasoning, and memory persistence, enabling continuous context-aware execution
• Build standardized APIs/SDKs that make it easy for product teams to compose, deploy, and monitor Generative AI workloads.
• Ensure platform components meet enterprise-grade requirements for scalability, latency, multi-region resilience, and cost efficiency
• Stand up LLM runtimes with token/rate governance, caching, and safe tool-use
• Implement RAG at scale: ingestion pipelines, chunking/embedding policies, hybrid search, relevance/risk scoring, and feedback loops
• Build agent orchestration (single & multi-agent) with planning, tool routing, shared/persistent memory, and inter-agent communication
• Integrate tooling and APIs that allow agents to interact with internal systems, retrieve data securely, and take action under strict controls
• Collaborate with research teams to prototype and productionize multi-agent architectures for workflow automation, report generation, and data synthesis.
• Implement cloud-native infrastructure for large-scale model training and serving using Kubernetes, MLflow, Terraform, and AWS-native services
• Automate data and model pipelines for RAG, LLM fine-tuning, and agent orchestration
• Integrate observability tools (Datadog or equivalent) for real-time performance, drift detection and safety monitoring of AI outputs
• Optimize compute and storage architecture to ensure cost-effective scaling of large models and multi-agent workloads
• Partner with security, data governance, SRE, and application teams to productize platform capabilities
• Embed compliance-by-design (HIPAA/CLIA/CAP/FDA/GDPR): PHI/PII handling, encryption, access controls, audit trails
• Implement guardrails: input/output filters, prompt hardening, allow/deny policies for tool execution, policy-as-code in CI/CD
• Bias/explainability hooks and automated evaluations for RAG/LLM/agents; drift and regression detection
• Establish golden paths (templates, examples, docs) and lead platform architecture reviews, code reviews, and design discussions
• Partner with data scientists, AI researchers, and product engineers to deliver reliable and maintainable AI services
• Mentor junior engineers in platform development, distributed systems, and agentic AI infrastructure concepts
• Influence cross-functional roadmaps by partnering with Product and Engineering leadership to align delivery with business needs

Senior AI/ML Engineer

Vice President

• Deliver absolute ownership over the strategy, design, and execution of Natera-sponsored clinical studies.
• Establish and enforce portfolio-level governance models to monitor study health, site enrollment, milestone delivery, sample flow, and data readiness.
• Lead cross-functional teams to design high-impact prospective, observational, and decision-impact trials.
• Partner with Regulatory affairs to build clinical evidence strategies that support FDA pre-market approval (PMA), 510(k), and De Novo pathways.
• Direct internal Clinical Operations and external CROs to eliminate bottlenecks in site activation, sample transit degradation, and query resolution.
• Maintain and build a direct, peer-to-peer scientific relationship with leading academic investigators, cooperative groups, and guideline panel members.

Vice President, Clinical Development – Oncology, Molecular Diagnostics

Analyst

• Serve as a trusted advisor to HR and business leaders on compensation strategy, market competitiveness, organizational design, job architecture, and pay practices.
• Support the design, implementation, and continuous improvement of compensation programs, including base salary structures, short-term incentives, long-term incentives, and equity programs.
• Support the development of compensation frameworks, career levels, and salary structures that align with business objectives and talent strategies.
• Conduct advanced compensation modeling and scenario analyses to support strategic workforce planning and budgeting.
• Evaluate emerging market trends and recommend innovative compensation solutions to maintain competitiveness in the biotechnology industry.
• Lead participation in industry compensation surveys and oversee benchmark matching across multiple survey providers.
• Perform complex market pricing analyses and develop recommendations for salary ranges, compensation structures, and pay adjustments.
• Analyze compensation trends within biotechnology, life sciences, diagnostics, and healthcare sectors to ensure market alignment.
• Conduct pay equity analyses and support compliance with federal, state, and local compensation regulations.
• Support and administer annual compensation planning processes, including merit increases, promotions, bonus programs, and equity awards.
• Partner with Finance and HR leadership to support compensation budgeting, forecasting, and accrual reporting.
• Provide guidance and recommendations on compensation for critical hires, promotions, retention actions, and organizational changes.
• Own the integrity of monthly equity exhibit processing, operate the SOX controls assigned to Compensation (including equity grant controls), and collaborate with Stock Administration on grant processing and equity-related initiatives.
• Respond to high-volume, time-sensitive market pricing requests from HR Business Partners and Talent Acquisition, including off-cycle and ad hoc analyses.
• Consult with senior leaders and executives on compensation-related matters and organizational impacts.
• Educate and influence managers and HR partners on compensation philosophy, practices, and decision-making frameworks.
• Lead compensation-related projects and initiatives, driving process improvements and operational excellence.
• Mentor junior compensation team members and provide guidance on compensation analyses and best practices.
• Develop executive-level presentations and materials for leadership discussions and compensation reviews.
• Ensure compensation programs comply with applicable federal, state, and local regulations.
• Support compensation governance activities, documentation, and audit requirements, including the SOX controls assigned to Compensation.
• Maintain multi-state pay range governance and support pay transparency and pay range disclosure compliance.
• Maintain job architecture, leveling frameworks, and compensation policies across the organization.
• Build and monitor compensation metrics and dashboards to evaluate program effectiveness.

Principal Compensation Analyst

• Configuring and managing new compensation plan implementations and changes on Xactly.
• Responsible for all aspects of day to day commission administration in Xactly Incent.
• Troubleshoot and resolve data discrepancies or exceptions within Xactly Incent.
• Preparation of commission approval documents, detailed backup, and conducting commission approval meetings for SOX compliance.
• Provide monthly accruals for sales commission and partner with Accounting team.

Senior Commissions Analyst

• Respond promptly to internal and external customer inquiries
• Serve as the lead contact for accounts and Sales and document all interactions, communications, actions taken, and follow ups
• Build rapport with accounts, patients and Sales to resolve missing information in a timely manner, ensuring TAT is met
• Communicate delays and cancellations to customers and help facilitate redraw of samples as needed
• Deals directly with internal and external customers via telephone and electronic channels to research and resolve escalated issues and communicate clearly and logically root cause of issue and resolution
• Familiarity with all oncology tests performed by Natera, including samples needed, TAT to results, all required patient health information, proper completion of request forms, and required waivers
• Special projects and other duties may be assigned to meet business needs
• This role works with PHI on a regular basis both in paper and electronic form and have an access to various technologies to access PHI (paper and electronic) in order to perform the job
• Must maintain a current status on Natera training requirements

Regional Customer Support Specialist

• A Phlebotomist serves patients by identifying the best method for retrieving blood; preparing specimens for laboratory testing; and performing screening procedures.
• The Phlebotomist will also act as an operations manager for the designated patient service center (PSC) and oversee Natera’s phlebotomy program at the specified location.
• Depending upon growth opportunities, this role may also require oversight of other phlebotomists as needed to support patient volume growth.
• Verifies test requisitions by comparing information with orders and requisition documentation.
• Verifies patient by reading patient identification.
• Obtains blood specimens by performing venipunctures and finger sticks.
• Maintains specimen integrity by using aseptic technique, following Natera procedures; observes isolation procedures.
• Tracks collected specimens by initialing, dating, and noting times of collection; maintaining daily tallies of collections performed in Natera provided system.
• Maintains quality results by following Natera procedures and testing schedule; recording results in the quality-control log; identifying and reporting needed changes reporting KPIs to product management leadership on biweekly basis.
• Maintains safe, secure, and healthy work environment by following standards and procedures; complies with legal regulations.
• Resolves unusual test orders by contacting the physician, pathologist, nursing station, or reference laboratory; referring unresolved orders back to the originator for further clarification.

PSC Manager

• Serves patients by identifying the best method for retrieving blood
• Prepares specimens for laboratory testing
• Performs screening procedures
• Acts as an operations manager for the designated patient service center (PSC)
• Oversees Natera’s phlebotomy program at the specified location
• May require oversight of other phlebotomists
• Verifies test requisitions by comparing information with orders
• Obtains blood specimens by performing venipunctures and finger sticks
• Maintains specimen integrity by using aseptic technique
• Tracks collected specimens by initialing, dating, and noting times of collection
• Maintains quality results by following Natera procedures
• Resolves unusual test orders by contacting the physician or reference laboratory
• Enhances Natera’s phlebotomy reputation by accepting ownership for accomplishing requests
• Completes training relating to HIPAA/PHI privacy as soon as possible but not later than the first 30 days of hire
• May require heavy lifting of up to 50 pounds of supplies
• Assists with managing all phlebotomy equipment
• Assists with managing Patient Service Center vendors
• Manages scheduling issues and oversees phlebotomy program management

Systems Engineer

• Serve as the subject matter expert on Content and Template management systems.
• Create, update, and manage templates.
• Translate business, user, and clinical needs into clear product requirements.
• Produce deliverables such as flow diagrams, data models, and prototypes.
• Specify, prioritize and communicate high level and detailed requirements.
• Evangelize products across the organization and drive requirements elaboration.
• Build confidence with business partners and collaborate with teams.
• Aid in creation and communication to stakeholders of product roadmap and delivery schedules.
• Incorporate a focus on quality into product design.
• Solicit customer feedback and funnel new requirements back into software development.
• Own and prioritize a feature backlog.

Clinical Review RN, Oncology AI Review

Senior Product Manager, Clinical Genomics

Director, Field Translational Science – Oncology

EDI & Claims Operations Analyst

Senior Machine Learning Scientist, Agentic AI

Bilingual International Customer Support Representative

Manager, Oncology Provider Experience

Senior AI/ML Engineer

Vice President, Clinical Development – Oncology, Molecular Diagnostics

Principal Compensation Analyst

Senior Commissions Analyst

Regional Customer Support Specialist

PSC Manager

PSC Manager

Business Systems Analyst