Will play a vital role in creating, managing, and integrating clinical and research data infrastructure for the Cancer Prevention and Control Program (CPC). They will ensure data harmonization and compliance with industry standards. This position will oversee the development and optimization of data pipelines, statistical data analysis, facilitate research collaboration with other cancer centers, and promote data quality initiatives. The ideal candidate will bridge the gap between technical data requirements and clinical research needs, supporting CPC and its mission to advance cancer research through high-quality real-world data.

• 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. Liaise with multidisciplinary teams to ensure seamless data flow, integration, and alignment with project objectives.
• 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. Develop and adhere to statistical analysis plans (SAP), prepare research presentations, and draft results for peer-reviewed publications.
• 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.
• Prepare and present data insights, integration strategies, and progress reports to internal and external stakeholders.
• Enhance scientific discovery by contributing to hypothesis generation, cohort identification, publications, presentations, and proposals that advance CPC program goals.
• Establish a streamlined process for research approval that includes developing an umbrella IRB protocol and standardized data-use agreements for the novel data warehouses to facilitate quicker start times for research projects.
• Manage an expanding team with varied expertise within the Clinical Informatics and Data Sciences Group. Train, mentor, and supervise staff on data workflow processes, good practices, and standards.
• 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.

Technical Proficiency:

• 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.
• Familiarity with cloud-based data environments (e.g., AWS, Google Cloud, or Azure).
• Familiarity with terminology systems, including SNOMED, LOINC, RxNorm, and ICD, to encode and query healthcare data.

PATIENT AGE GROUP(S) AND POPULATION(S) SERVED
Refer to departmental "Scope of Service" and "Provision of Care" plans, as applicable, for description of primary age groups and populations served by this job for the respective HM entity.

HOUSTON METHODIST EXPERIENCE EXPECTATIONS

• Provide personalized care and service by consistently demonstrating our I CARE values:
  • INTEGRITY: We are honest and ethical in all we say and do.
  • COMPASSION: We embrace the whole person including emotional, ethical, physical, and spiritual needs.
  • ACCOUNTABILITY: We hold ourselves accountable for all our actions.
  • RESPECT: We treat every individual as a person of worth, dignity, and value.
  • EXCELLENCE: We strive to be the best at what we do and a model for others to emulate.

• Practices the Caring and Serving Model

• Delivers personalized service using HM Service Standards

• Provides for exceptional patient/customer experiences by following our Standards of Practice of always using Positive Language (AIDET, Managing Up, Key Words)

• Intentionally collaborates with other healthcare professionals involved in patients/customers or employees' experiential journeys to ensure strong communication, ease of access to information, and a seamless experience

• Involves patients (customers) in shift/handoff reports by enabling their participation in their plan of care as applicable to the given job

• Actively supports the organization's vision, fulfills the mission and abides by the I CARE values

PEOPLE ESSENTIAL FUNCTIONS

• Manages multiple client/researcher relationships by leading the delivery of innovative strategies and solutions for our clients. Assigns projects to other data scientists.

• Oversees project progress and presents results to the stakeholders.

• Mentors and guides less experienced members of the data-science and analytics teams in their development of skills and proficiencies to be more effective in their roles.

• Drives contributions towards improvement of department scores for employee engagement, i.e., peer-to-peer accountability.

SERVICE ESSENTIAL FUNCTIONS

• Leads the research data analytics insights across the hospital system.

• Leads/co-leads a data science/research/business team targeted at fulfilling the organization's needs to access and understand research, clinical, financial, operational, population health, social, behavior, and marketing data.

• Leads a portfolio of advanced and complex projects that require more experience and expertise. Assigns the execution of multiple, complex analytical plans and projects and leads lower-level data scientists.

QUALITY/SAFETY ESSENTIAL FUNCTIONS

• Leads, as subject matter expert, on clinical data quality issues and assurance as well as patient privacy and data security and compliance.

• Oversees documenting the project requirements and results on a timely basis and reviews documentation and code submitted by lower-level research data scientists.

• Facilitates quality improvement process evaluations to improve data research analytics. Reviews presentation ideas prior to being viewed by leadership.

FINANCE ESSENTIAL FUNCTIONS

• Provides guidance to HDSA leadership on strategic and infrastructural needs for the organization.

• Leads the continuous improvement of clinical and operational data and analytics.

GROWTH/INNOVATION ESSENTIAL FUNCTIONS

• Actively seeks out innovative solutions to the many challenges facing researchers in the clinical outcomes space and explores solutions to collaboration across and external to the institution. solutions with the clinicians, hospital administration, and other stakeholders.

• Translates the findings into implementable informatics solutions with the clinicians, hospital administration, and other stakeholders, leading assisting the Technical and Research Data Scientists with these tasks.

• Seeks opportunities to identify self-development needs and takes appropriate action. Ensures own career discussions occur with appropriate management. Completes and updates the My Development Plan on an on-going basis.

This job description is not intended to be all-inclusive; the employee will also perform other reasonably related business/job duties as assigned. Houston Methodist reserves the right to revise job duties and responsibilities as the need arises.

EDUCATION

• 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

• PhD degree preferred

WORK EXPERIENCE

• 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

• Experience with cloud computing and working with big-data and common health care data models strongly preferred

LICENSES AND CERTIFICATIONS - REQUIRED

• N/A

LICENSES AND CERTIFICATIONS - PREFERRED

• Credentials or experience working with AWS and/or i2b2 or other common clinical data models strongly preferred
• EPIC - Certification (EPIC) -- Current Epic¿ Certification or Proficiency in Clarity, Caboodle and Cogito preferred

KNOWLEDGE, SKILLS, AND ABILITIES

• Demonstrates the skills and competencies necessary to safely perform the assigned job, determined through on-going skills, competency assessments, and performance evaluations

• Sufficient proficiency in speaking, reading, and writing the English language necessary to perform the essential functions of this job, especially with regard to activities impacting patient or employee safety or security

• 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

• Demonstrated advanced proficiency in SQL, Python, R or other common data-science tools and languages

• Strong research and business acumen

• Mastery in ability to communicate findings to internal and external business and IT leaders in a way that can influence how an organization approaches a business challenge

• Maintains current Human Subjects Research credentials as defined by the Houston Methodist Research Institute

SUPPLEMENTAL REQUIREMENTS

WORK ATTIRE

• Uniform No
• Scrubs No
• Business professional Yes
• Other (department approved) No

ON-CALL*
*Note that employees may be required to be on-call during emergencies (ie. DIsaster, Severe Weather Events, etc) regardless of selection below.

• On Call* No

TRAVEL**
**Travel specifications may vary by department**

• May require travel within the Houston Metropolitan area No
• May require travel outside Houston Metropolitan area No

Houston Methodist Research Institute was formed in 2004 to rapidly and efficiently translate discoveries made in the laboratory and the clinic into new diagnostics, therapies, and treatments. The research institute was created to provide the infrastructure and support for these endeavors, and to house the technology and resources needed to make innovative breakthroughs in important areas of human disease. A 540,000 square foot building dedicated to research, the research institute houses over 1,500 staff and trainees, 284 principal investigators and has more than 570 ongoing clinical trials.