CareDx, Inc.

Data Scientist

• Develop clinically grounded, interpretable AI and analytics solutions supporting commercial, medical affairs, clinical research, and enterprise decision-making
• Translate integrated structured and unstructured data into reliable insights, actionable recommendations, and reusable analytical products
• Own analytics and AI workstreams for next-best-action and field education capabilities
• Advance literature intelligence workflows, including search, retrieval, synthesis, evaluation, and validation of AI-generated outputs
• Develop interpretable machine learning, statistical, and generative AI solutions using clinical, laboratory, commercial, and enterprise data
• Build reproducible workflows and reusable components from research prototypes to reliable applications and decision-support tools
• Lead analytics research proposals and collaborations, including cohort definition, analysis planning, modeling, interpretation, and communication of results
• Partner with clinicians, scientists, medical affairs, research teams, and business stakeholders
• Support abstracts, presentations, and research reports while applying privacy, security, validation, and documentation practices
• Contribute to forecasting, Promotion Effectiveness, and Digital Product Impact initiatives
• Perform exploratory analysis, feature engineering, model development and evaluation, sensitivity testing, and scenario analysis using Python or R and SQL
• Collaborate with data and application engineers on pipelines, version control, testing, deployment readiness, monitoring, and maintenance
• Document data lineage, assumptions, limitations, and recommendations

Data Scientist II

Systems Engineer

• Deploy, configure, and support CareDx transplant, medication, and patient management software platforms
• Troubleshoot operating systems, SQL and Oracle databases, and application interfaces
• Support and maintain HL7 interfaces, including custom filtering and performance monitoring
• Assist with remote connectivity setup and VPN configurations for customer sites
• Ensure compliance with SLAs while managing ticket queues and project timelines
• Advise customers on software and hardware requirements before deployment
• Provide ongoing customer support and follow-up
• Document processes, configurations, and troubleshooting steps
• Execute implementation plans and resolve technical issues independently
• Coordinate with cross-functional teams to optimize system performance
• Stay current with emerging technologies to improve deployment and support processes
• Deliver timely technical support, seamless deployments, accurate documentation, and continuous technical improvement

Data Scientist II

Support Systems Engineer