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Vice President - Early Detection Informatics

Job in Tempe, Maricopa County, Arizona, 85285, USA
Listing for: Caris Life Sciences
Full Time position
Listed on 2026-09-25
Job specializations:
  • IT/Tech
    Data Engineering, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below

Position Summary

The Vice President, Early Detection Informatics provides senior leadership for Caris’ early cancer detection data science and bioinformatics initiatives supporting blood-based, multi-analyte diagnostic technologies. This role oversees the production informatics environment, bioinformatics pipeline orchestration, maintenance, support, and advanced analytics while owning the strategy and execution for scalable, production-grade computational systems.

Partnering closely with Executive Leadership, Research & Development, Clinical Development, Laboratory Operations, Regulatory Affairs, and Commercial teams, this position ensures early detection informatics infrastructure is scientifically rigorous, scalable, reproducible, and aligned with long-term corporate, clinical, and regulatory strategy. The role sets vision, standards, and governance for transforming multi-omic data into clinically actionable early detection insights and differentiated diagnostic performance.

Job Responsibilities
  • Provide executive oversight for the design, implementation, reliability, and scalability of bioinformatics and data engineering pipelines integrating sequencing platforms, laboratory systems, and clinical data sources.
  • Oversee development, orchestration, and production deployment of bioinformatics workflows supporting early detection assays.
  • Establish and enforce canonical data models, metric definitions, dataset versioning, and change control across research, validation, and production environments.
  • Ensure data integrity, auditability, traceability, and compliance with GxP and regulatory expectations.
  • Define and implement cloud-based or hybrid compute strategies enabling high-throughput analysis, reproducible execution, and model retraining.
  • Own SLAs, uptime targets, monitoring frameworks, alerting, and assay turnaround time for production pipelines supporting clinical reporting.
  • Build, mentor, and lead a high-performing informatics and bioinformatics team.
  • Set departmental goals, OKRs, budgets, roadmaps, and operating cadence aligned to corporate and regulatory priorities.
  • Establish governance models, performance metrics, and stakeholder engagement frameworks.
  • Champion a culture of scientific rigor, accountability, transparency, data integrity, and continuous improvement.
Required Qualifications
  • PhD in Data Science, Bioinformatics, Biostatistics, Computer Science, Biomedical Engineering, or a related field.
  • 10 or more years of experience building and operating production-grade analytics or bioinformatics solutions in diagnostics, medical devices, pharmaceuticals, or high-throughput laboratory environments.
  • Expert-level proficiency in Python, SQL, and data engineering fundamentals including ETL/ELT, orchestration, APIs, and scalable workflows.
  • Extensive experience with bioinformatics pipelines and next-generation sequencing platforms, including Illumina technologies.
  • Demonstrated experience operating informatics systems in regulated environments with strong understanding of GxP, CLIA, CAP, and FDA quality systems.
  • Proven leadership experience managing and developing technical teams with accountability for large-scale, cross‑functional project delivery.
  • Proficient in Microsoft Office Suite, including Word, Excel, Outlook, and PowerPoint.
  • This is an onsite role based at our Phoenix, AZ office and requires regular in‑person presence.
Preferred Qualifications
  • Experience with DRAGEN workflows and advanced sequencing analytics.
  • Advanced experience with AWS platforms including Sage Maker, S3, Athena; familiarity with AWS Health Omics preferred.
  • Experience integrating data from LIMS, instruments, MES/LES, and environmental monitoring systems.
  • Working knowledge of ISO 13485, 21 CFR 820, MDSAP, and IVDR requirements as…
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