Note: The job is a remote job and is open to candidates in USA. CareDx, Inc. is a precision medicine solutions company focused on healthcare solutions for transplant patients and caregivers. The Data & AI Engineer II will develop analytical applications, data pipelines, and AI-powered capabilities for clinical research, statistical analysis, and data-driven decision-making. The role will productionize analytical workflows and machine learning models, translate R-based analyses into maintainable Python, and deliver secure, user-facing applications.
Responsibilities
- Develop and maintain analytical applications using tools and frameworks such as Python, Streamlit, Plotly, Dash, and Django
- Own the implementation, testing, deployment, and maintenance of well-defined application features and data workflows
- Productionize statistical models and machine learning workflows developed by data scientists and statisticians
- Translate and refactor R-based research and analytical workflows into maintainable, tested Python code
- Build and maintain data pipelines that support clinical data processing, analysis, visualization, and reporting
- Develop interactive applications that enable data exploration, visualization, and decision support
- Integrate applications with relational databases, APIs, analytical outputs, documents, and other structured and unstructured data sources
- Contribute to AI-powered application features using techniques such as structured information extraction, retrieval-augmented generation, tool or function calling, and multi-step workflows
- Implement validation, grounding, logging, traceability, and human-review mechanisms for AI-generated outputs
- Collaborate with scientists, clinicians, product stakeholders, and senior engineers to translate requirements into practical technical solutions
- Participate in technical design discussions and document implementation decisions, assumptions, and tradeoffs
- Write reliable, readable, and testable code using established engineering patterns and team standards
- Participate in code reviews and incorporate feedback to improve implementation quality and technical judgment
- Monitor, debug, and improve application performance and reliability across data, model, AI, and application layers
- Follow security, privacy, and compliance requirements for sensitive healthcare data, including HIPAA-aligned practices
- Contribute to shared components, documentation, development tools, and engineering process improvements
- Communicate progress, risks, dependencies, and technical challenges clearly and proactively
Skills
- Bachelor's or master's degree in Computer Science, Data Science, Engineering, Biostatistics, or a related quantitative field, or equivalent practical experience
- 2+ years of experience in data engineering, backend engineering, full-stack development, analytics engineering, or a related role
- Strong proficiency in Python for data analysis and software development
- Experience working with statistical analysis, data science, or machine learning workflows
- Experience transforming prototype, research, or analytical code into maintainable software
- Experience building analytical applications using Streamlit, Plotly, Dash, or similar technologies
- Experience developing backend services or web applications using Django, FastAPI, Flask, or a similar framework
- Experience building and maintaining data pipelines that integrate multiple data sources
- Familiarity with relational databases, SQL, APIs, and common data formats
- Experience or demonstrated applied knowledge in at least one modern LLM capability, such as retrieval-augmented generation, structured extraction, tool calling, or agentic workflows
- Understanding of core production considerations for AI systems, including grounding, hallucination mitigation, output validation, security, latency, cost, and human oversight
- Experience with version control and collaborative development practices, including Git, branching, pull requests, and code reviews
- Experience writing automated tests and debugging applications across multiple technical layers
- Ability to independently deliver well-defined features while seeking guidance when requirements or technical risks are unclear
- Strong written and verbal communication skills
- Honest and transparent approach to feedback, collaboration, and accountability
- Experience in healthcare, biotechnology, clinical research, or another regulated environment
- Experience working with sensitive or protected healthcare data
- Familiarity with HIPAA-aligned application and data-handling practices
- Experience with Azure, Databricks, or comparable cloud and data platforms
- Familiarity with CI/CD practices and automated testing tools such as pytest
- Experience with pandas, NumPy, scikit-learn, statsmodels, or similar data science libraries
- Experience deploying or supporting production web applications
- Experience using modern AI-assisted software development tools, such as Codex or similar coding agents, for development, testing, debugging, and documentation
- Domain knowledge in biological medicine, healthcare, or clinical data
- Experience communicating technical work to scientific or clinical audiences
Benefits
- Competitive base salary and incentive compensation
- Health and welfare benefits, including a gym reimbursement program
- 401(k) savings plan match
- Employee Stock Purchase Plan
- Pre-tax commuter benefits
- Up to 30 days of paid leave annually to a full-time employee who makes the selfless act of donating an organ or bone marrow
- The role may be eligible for additional discretionary bonuses/incentives and restricted stock units
- Remote: US only roles
Company Overview
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