Jobs at Caris Life Sciences

The Data Scientist will develop machine learning models using cancer data to advance oncology understanding and improve patient outcomes, collaborating with multiple teams and publishing results.

Manage the roadmap and commercialization of liquid oncology products within an assigned geography. Drive product adoption, deliver growth objectives, support sales and clinical engagement, collaborate on go-to-market strategies, provide post-sales service, and maintain relationships with hospital, lab, and IDN customers. Spend majority of time (~75%) in field meetings and support trade shows and clinical ordering/interpretation.

Lead enterprise partnerships with oncology networks, national payers, and federal systems to drive access and testing volume. Develop multi-year account plans, negotiate enterprise agreements, translate national initiatives into territory pull-through, collaborate with field teams, and report on metrics. Represent Caris at executive levels, deliver strategic presentations, and apply domain knowledge of molecular diagnostics, reimbursement, and market access to achieve volume and growth targets.

Lead architecture and implementation of enterprise AWS and Kubernetes (EKS) environments, drive cloud migrations and IaC, build GitOps/CI-CD pipelines (ArgoCD, GitLab CI), implement observability and security/compliance (HIPAA, SOC2, SOX), mentor engineers, lead PoCs, and manage incident response and on-call for critical cloud infrastructure.

Lead a field-based commercial team to drive regional and national adoption of MI Clarity. Build and coach Account Executives, execute go-to-market and account strategies, engage clinical and executive stakeholders, support launches, optimize workflows with pathology, and deliver revenue growth while ensuring forecasting, CRM use, compliance, and cross-functional alignment.