Note: The job is a remote job and is open to candidates in USA. UT MD Anderson is a leader in cancer care, and they are seeking a Senior Data Engineer in Healthcare AI to architect and build data infrastructure for AI and machine learning solutions. This role involves designing data pipelines, ensuring data quality, and collaborating with various stakeholders to enhance patient outcomes through responsible AI innovation.
Responsibilities
- Design, implement, and maintain batch and streaming pipelines for ML training, deployment, inference, and monitoring using Azure, Dataiku, and open-source tools
- Deploy and manage raw data, feature, and vector stores to enable fast, reliable access for production AI/ML systems
- Use Infrastructure-as-Code (IaC) and CI/CD workflows to automate deployments, improving reliability and efficiency
- Implement validation, lineage, anomaly detection, and drift monitoring to deliver accurate, compliant data
- Enforce encryption, RBAC, tokenization, and audit logging to ensure HIPAA/HITRUST compliance while enabling scalable AI operations
- Partner with data engineers, ML engineers, data scientists, and clinical stakeholders to deliver scalable AI solutions
- Mentor team members and drive best practices in data engineering
- Manage pipelines and infrastructure end-to-end, including monitoring, alerting, incident management, and continuous improvement
- Perform additional tasks as assigned to support departmental goals
Skills
- Bachelor's degree
- Five years of relevant information technology experience. May substitute required education with years of related experience on a one-to-one basis. With preferred degree, three years of experience required
- Master's Level Degree
- Must obtain at least one Epic Data Model certification (Clinical, Access, or Revenue) issued by Epic within 180 days of date of entry into job
- Azure Data Engineer Associate (DP-203)
- EPIC Cogito Certification
- HIPAA Privacy & Security Certification
- HL7/FHIR Certification
- Healthcare experience in AI/ML space is a must
- Two years of industry experience in a Senior Data Scientist role
- Knowledge of data privacy, security, and HIPAA compliance in healthcare
Benefits
- Paid Medical Benefits: MD Anderson covers 100% of medical benefits for employees, plus dental and vision options.
- Generous Paid Time Off (PTO): Vacation, sick leave, and holidays to help you recharge.
- Retirement Plans: Secure your future with robust retirement programs and employer contributions.
- Professional Growth: Access to advanced training, leadership development, and opportunities to work on transformative AI projects.
- The University of Texas MD Anderson Cancer Center offers excellent benefits, including medical, dental, paid time off, retirement, tuition benefits, educational opportunities, and individual and team recognition.
- Referral Bonus Available?
- Relocation Assistance Available?
Company Overview