Houston Methodist Academic Institute is looking to create, manage, and integrate clinical and research data infrastructure for the Cancer Prevention and Control Program (CPC) to advance cancer research through high-quality real-world data.
Requirements
- Strong understanding of data interoperability standards (e.g., FHIR, HL7, OMOP, CDISC, NAACCR).
- Knowledge of regulatory frameworks such as HIPAA, GDPR, and GCP.
- Familiarity with cancer genomics repositories and/or cancer registries is highly desirable.
- Proficiency with data integration tools and platforms (e.g., ETL processes, APIs, databases).
- Knowledge of programming languages or tools commonly used in data analysis and integration (e.g., Python, R, SQL, Tableau).
- Knowledge of EPIC, PACS, LIS, and other HealthIT/business systems
- Deep understanding of AI lifecycle Management, AI/ML Platform architecture.
Responsibilities
- Design, implement, and maintain a state-of-the-art data management infrastructure that includes robust DataMart from multiple novel sources reflecting medical, social, genomic, and environmental drivers of health, consistent with the departmental mission.
- Engage in strategic negotiations and collaborations with key data providers, including institutional EMR teams, the Texas Cancer Registry, and other state and local agencies, to secure access to data critical to understanding the medical and socioecological contexts of health in patients with cancer.
- Oversee strategic guidance on data elements, methods, and models required for clinical and research objectives, and facilitate the identification and extraction of these elements from the EHR and data warehouse systems.
- Oversee data collection and harmonization processes, ensuring compliance with applicable industry data standards (e.g., FHIR, HL7, NAACCR).
- Collaboratively develop and deploy quality assurance (QA) and quality control (QC) measures to maintain data integrity and reliability.
- Apply statistical and epidemiological methods to analyze data on health outcomes and survival in patients with cancer.
- Monitor emerging trends and developments in real-world clinico-omic data informatics and provide strategic recommendations on technologies and processes to optimize and advance the CPC data ecosystem.
Other
- Master's degree in computer science, Clinical Informatics, Public Health Administration, Business Administration, or Data Science, or Engineering, or an MD with experience in Informatics and Statistics or related field
- Seven years' experience in health care data analytics and/or database management in a healthcare organization
- Advanced skill in fields of computer science or mathematics and applications, modeling, statistics, and analytics
- Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through on-going skills, competency assessments, and performance evaluations
- Ability to effectively communicate with patients, physicians, family members and co-workers in a manner consistent with a customer service focus and application of positive language principles
