Caris Life Sciences · 18 hours ago
Application Scientist - Digital Pathology
Phoenix, AZ
Full-time
Onsite
Senior Level
5+ years expCaris Life Sciences is dedicated to transforming cancer care and improving lives through precision medicine. They are seeking an Application Scientist to serve as a technical bridge across various teams in digital pathology, focusing on the technical readiness of whole slide image-based solutions, ensuring they meet clinical quality and regulatory standards.
Artificial Intelligence (AI)BiopharmaBiotechnologyHealth CareLife Science
Responsibilities
Administer and optimize IMS workflows (user provisioning, access control, retention, tiered storage, audit trails)
Investigate incidents and lead corrective actions to improve stability and user experience
Define and enforce metadata and ontology standards (specimen, stain, region annotations, versioning) and file format policies (SVS, SCN, NDPI, TIFF/OME TIFF)
Collaborate with cloud team to implement data monitoring and data governance (PII/PHI safeguards, de identification, consent tracking)
Build operational runbooks for ingestion, migration, archival, and disaster recovery
Design, execute, and document calibration protocols for brightfield/fluorescence WSI scanners (e.g., color calibration, focus metrics, illumination uniformity, ICC profiles)
Implement/validate color management pipelines to reduce site to site variability
Build and maintain image QA dashboards (PSNR, SSIM, CIEDE2000, artifact scoring, blur detection, tissue coverage)
Collaborate with scanning operations and vendors to troubleshoot imaging issues (scanner drift, compression artifacts, barcode/label problems) and drive root cause analysis
Productionize and maintain AI/ML pathology algorithms (detection, grading, quantification, triage) with attention to performance, reproducibility, scaling and monitoring
Package models with Docker and orchestrate via AWS; implement CI/CD for model and pipeline updates
Collaborate with data science and external collaborators to translate research models into deployable services, including GPU resource planning and batch/stream inference
Establish real time/near real time inference pathways, results persistence, and human in the loop review tools
Define and track validation metrics (accuracy, sensitivity/specificity, AUC, turnaround time, uptime)
Author and maintain SOPs, validation plans, and technical files; support CAP/CLIA readiness for regulated use
Maintain software quality by performing UAT, bug tracking and reporting
Perform risk assessments (cybersecurity, model drift, data integrity) and drive corrective/preventive actions (CAPA) in collaboration with Quality teams
Conduct training and change management for pathologists, lab personnel, and IT
Serve as subject matter expert for proof of concepts and end-user onboarding for digital pathology solutions
Translate clinical/operational needs into requirements for product and engineering; manage pilots and rollouts with clear success criteria
Provide tier 2/3 support for imaging and algorithmic workflows and create knowledge base content
Responsible for technical integrity of project deliverables, including quality and compliance to applicable standards
Fosters a data-driven, evidence-based mindset and reporting format across the digital pathology team
Provides technical direction and accountability for our expanding digital pathology portfolio by driving leading-edge thinking and state-of-the-art technology into processes and products
Other duties as assigned by the leadership
Qualification
Required
PhD in Biomedical Engineering, Computer Science, Medical Physics, or related field; or equivalent experience
5+ years in digital pathology or medical imaging (WSI scanners, histology workflows, image QC)
Demonstrable experience with image calibration and color management (ICC, white balance, shading correction) and stain normalization
Hands on with IMS and DICOM/HL7/FHIR integrations; familiarity with LIS/LIMS
Proven track record of algorithm deployment (Docker/Kubernetes, CI/CD, GPU acceleration) and MLOps (model packaging, monitoring, rollback)
Proficiency in Python (NumPy, OpenCV, scikit image, PyTorch/TensorFlow), image formats (SVS, NDPI, DICOM, OME TIFF), and annotation tools (QuPath, SlideViewer, PathML)
Experience with UI/UX feedback in viewer tools (annotation, ROI selection, overlay management) and pathologist workflow optimization
Strong documentation skills and experience writing SOPs/validation reports for regulated environments
Excellent communication and stakeholder management; able to interface with pathologists, lab staff, IT/security, and data scientists
Preferred
Experience with cloud (Azure/AWS/GCP) and object storage (S3/Blob)
Knowledge of workflow orchestration (Airflow, Argo, Prefect) and observability (Prometheus, Grafana)
Familiarity with CAP/CLIA inspections, GxP, IEC 62304, ISO 13485, and ISO 27001
Exposure to fluorescence, multiplex IHC/IF, spatial biology, and high content imaging
Scripting for automation (Bash/PowerShell), and basic SQL for metadata/registry tasks
Company
Caris Life Sciences
Caris Life Sciences develops molecular profiling and AI-driven technologies to support precision medicine in oncology.
1001-5000 employees
Funding
Current Stage
Public CompanyTotal Funding
$1.86BKey Investors
BraidwellOrbiMedSixth Street
2025-06-18IPO
2025-04-07Private Equity· $168M
2023-01-19Debt Financing· $400M
Leadership Team
Luke Power
Chief Financial Officer
Brian Stengle
SVP, Chief Marketing Officer
Recent News
Labiotech UG
2026-01-17
2026-01-14
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