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.

Position Summary
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.

Job Responsibilities

Quality Data Platform & Pipelines

• 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.

Dashboards, Alerts & 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.

Analytics & Continuous Improvement

• 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.

Leadership & Governance

• 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.
  

Required Qualifications

Technical

• 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, AltAir acceptable).

• Experience in creating reports using Tableau (preferred) or PowerBI.

• Proficient in extracting data from a variety of sources, including Linux file systems, AWS s3, MySQL databases, ad-hoc Excel spreadsheets and the ability to rapidly visualize desired content.

• 7+ years building production-grade analytics solutions in diagnostics, medical devices, pharmaceuticals, or high-throughput labs.

• Expert Python (pandas, NumPy, SciPy), SQL, and data engineering fundamentals (ETL/ELT, APIs).

• Proven expertise with enterprise dashboard packages (data modeling, DAX/LOD, governance, performance tuning, time-series analysis).

• Hands-on experience with control charts/SPC, reliability/quality analytics, and statistical testing; familiarity with DoE preferred.

• Experience integrating data from LIMS, instruments, and environmental monitoring systems; familiarity with GxP/CSV practices.

• Working knowledge of CLIA/CAP, 21 CFR 820, ISO 13485, MDSAP, and IVDR requirements as they relate to data, metrics, and documentation.

• Basic understanding of Next Generation Sequencing.

Leadership and Management

• Team leadership experience directing the work of technical professionals and developing technical talent in others.

• Direct management experience including significant people and project management with individual accountability to deliver large scale project results. Demonstrated track record of success.

• Outstanding verbal and written communication skills. Willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results.

• A motivated, goal-orientated individual who can work effectively, both independently and as part of a team.

• A professional outlook and attitude, with superior oral/written communication skills, including strong presentation skills.

• Proven ability to manage time effectively, respond quickly to changing priorities, and adapt within a fast-paced environment.

• Excellent problem-solving and analytical skills.

• Strong knowledge of Microsoft Office Suite, specifically Word, Excel, PowerPoint.

• Communication – Proficient verbal and written communication skills; willingness to share and receive information and ideas from all levels of the organization in order to achieve the desired results.

• Teamwork – Commitment to the successful achievement of team and organizational goals through a desire to participate with and help other members of the team.

• Customer Service Focus – Demonstrate a focus on listening to and understanding client/customer needs and exceeding service and quality expectations.
  

Physical Demands

• Must possess ability to sit, stand, and/or work at a computer for long periods of time.
  

Training

• All job specific, safety, and compliance training are assigned based on the job functions associated with this employee.
  

Other

• May require occasional after-hours work to meet deadlines and ensure delivery of patient and enterprise data.

Conditions of Employment: Individual must successfully complete pre-employment process, which includes criminal background check, drug screening, credit check ( applicable for certain positions ) and reference verification.

This job description reflects management’s assignment of essential functions. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time.

Caris Life Sciences is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, gender identity, sexual orientation, age, status as a protected veteran, among other things, or status as a qualified individual with disability.