Director - Diagnostic Quality Analytics & Reporting

At Caris, we understand that cancer is an ugly word—a word no one wants to hear, but one that connects us all. That’s why we’re not just transforming cancer care—we’re changing lives.

We introduced precision medicine to the world and built an industry around the idea that every patient deserves answers as unique as their DNA. Backed by cutting-edge molecular science and AI, we ask ourselves every day: "What would I do if this patient were my mom?" That question drives everything we do.

But our mission doesn’t stop with cancer. We’re pushing the frontiers of medicine and leading a revolution in healthcare—driven by innovation, compassion, and purpose.

Join us in our mission to improve the human condition across multiple diseases. If you're passionate about meaningful work and want to be part of something bigger than yourself, Caris is where your impact begins.

The Director of Diagnostic Quality Analytics & Reporting will build and lead the data, analytics, and reporting backbone that powers Caris’ end-to-end assay quality oversight. This role owns the strategy and execution for data curation, engineering, visualization, and advanced analytics to track, trend, and report daily quality signals—including wet lab bench metrics, sequencing yield, performance of controls and personnel, operator, environmental, and other key performance indicators of the Caris commercial assays.

Partnering closely with Quality, Lab Operations/Management, and Executive Leadership, the Director will architect the dashboards, automated alerts, and narrative reporting that drive proactive decision-making, audit readiness, and continuous improvement across lab operations.

• Design, implement, and maintain robust data ingestion, transformation, and presentation pipelines that unify assay QC/QM data from LIMS, instruments, environmental sensors, and production systems; ensure, auditability, and SLA-based reliability.

• Define canonical data models and metrics dictionaries for assay performance, control behavior, environmental conditions, and process capability; implement versioned datasets with change management.

• Establish automated data quality checks, schema validation, and anomaly detection to ensure trustworthy reporting.

• Build and govern enterprise dashboards and self-service data marts that provide run-level to executive-level visibility (daily/real-time where appropriate) into assay health and trends.

• Implement SPC charts, capability indices (Cp/Cpk), Pareto analyses, funnel plots, and trend lines to surface emerging issues and variation drivers.

• Develop automated alerting/notifications (e.g., threshold or model-based) for abnormal conditions across instruments, operators, sites, and assays.

• Produce concise weekly/monthly executive narratives and inspection-ready Quality reports with clear insights, actions, and ownership.

• Regularly perform exploratory analysis, forecasting, and root-cause investigations; partner with Quality to translate findings into CAPA actions and verify effectiveness via measurable signal shifts.

• Lead deep dives on failure modes (by assay step, instrument, reagent lot, operator, or environment) and quantify impact on yield, TAT, and patient-impact risk.

• Collaborate with Lab Management to design experiments (e.g., A/B, DoE) for process improvements; quantify ROI and operational impact.

• Build and mentor a small, high-performing team.

• Own the roadmap, backlog, and operating cadence for quality analytics; define OKRs, uptime/refresh SLAs, and stakeholder satisfaction metrics.

• Champion a culture of data integrity, transparency, and continuous improvement.

• MS/PhD in Data Science, Biostatistics, Computer Science, Biomedical Engineering, or related field (or BS with significant equivalent experience).

• Strong data visualization (ggplot2 preferred, Seaborn, Alt Air acceptable).

• Experience in creating reports using Tableau (preferred) or Power
  
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• Proficient in extracting data from a variety of sources, including Linux file systems, AWS s3,…