Department Data Analyst

UT Southwestern Medical Center • Dallas, TX

10h • Onsite

About The Position

Works under general supervision to provide data acquisition, management and report design/generation to administration and clinicians/researchers. The Department Data Analyst will work closely with the Ophthalmology Clinical Research Unit (CRU), imaging team, vision scientists, and AI research team to organize, curate, process, and analyze ophthalmic imaging and clinical research data. Responsibilities include developing code and workflows for data de-identification, curation, quality control, and preparation of analysis-ready datasets; extracting, processing, and standardizing clinical and research imaging data, including DICOM and other device-specific formats; coordinating data transfer and resolving missing or inconsistent data; and supporting computational and AI-based research. The position will analyze ocular imaging and clinical parameters, including outputs from customized computational or AI algorithms; evaluate associations with disease characteristics, progression, treatment response, and clinical outcomes; perform statistical analysis and data visualization; and support research presentations and publications. The role will also track participant recruitment, study visits, imaging acquisition, data collection, and completeness across research projects; maintain clear documentation and reproducible analytical workflows; and ensure appropriate data handling in accordance with HIPAA, institutional policies, and research protocols.
This position requires programming experience with Python and/or other scientific data-processing languages (for example, R); experience with structured datasets, imaging data, databases, or computational workflows; and strong analytical, problem-solving, documentation, and communication skills. Preferred experience includes medical or ophthalmic imaging, image processing, statistical analysis, machine learning or AI, clinical research/EHR or healthcare datasets, data de-identification and security, and collaboration across clinical and technical research teams.

Requirements

• Bachelor's Degree In Science, Information Management, Healthcare Information, Statistics, Business or closely related field.
• 3 years Data management/analyst experience.
• Programming experience with Python and/or other scientific data-processing languages (for example, R).
• Experience with structured datasets, imaging data, databases, or computational workflows.
• Strong analytical, problem-solving, documentation, and communication skills.

Nice To Haves

• Medical or ophthalmic imaging experience.
• Image processing experience.
• Statistical analysis experience.
• Machine learning or AI experience.
• Clinical research/EHR or healthcare datasets experience.
• Data de-identification and security experience.
• Collaboration across clinical and technical research teams experience.
• Work in a clinical or healthcare related field.

Responsibilities

• Provide data acquisition, management and report design/generation to administration and clinicians/researchers.
• Organize, curate, process, and analyze ophthalmic imaging and clinical research data.
• Develop code and workflows for data de-identification, curation, quality control, and preparation of analysis-ready datasets.
• Extract, process, and standardize clinical and research imaging data, including DICOM and other device-specific formats.
• Coordinate data transfer and resolve missing or inconsistent data.
• Support computational and AI-based research.
• Analyze ocular imaging and clinical parameters, including outputs from customized computational or AI algorithms.
• Evaluate associations with disease characteristics, progression, treatment response, and clinical outcomes.
• Perform statistical analysis and data visualization.
• Support research presentations and publications.
• Track participant recruitment, study visits, imaging acquisition, data collection, and completeness across research projects.
• Maintain clear documentation and reproducible analytical workflows.
• Ensure appropriate data handling in accordance with HIPAA, institutional policies, and research protocols.
• Abstract data, reconcile data inconsistencies and perform analysis.
• Interpret numerical data and relate to Manager.
• Create data reports from existing databases based on needs analysis leadership and/or clinicians/researchers.
• Share vital information with department management team for dissemination across all division.
• Prepare and submit documents to federal agencies, state agencies, private research funding agencies and other organizations as required by law and contractual vehicle.
• Monitor existing compliance documents with the terms of contractual vehicle with the university.
• Monitor data gained from department information services and create useful downloads for distribution among division directors.
• Design and create merges data files and/or warehouse data sets; determine best methods for efficient capture and merging of information from various data resources and access to tools to generate reports.
• Facilitate efficient distribution of information gleaned from departmental billing downloads.
• Partner with senior leadership and/or clinicians/researchers to design and perform complex analyses and report creation, including identifying and interpreting of trends, patterns of variations and implications for improvement initiatives.
• Focus on patient satisfaction outcomes and scores as noted in quarterly department data downloads.
• Provide education/training to team members on generation and/or interpretation of data, statistical analysis and application to decision making to improve organization efficiency and outcomes.
• Provide essential and informative feedback to department manager/director as to how well their area functions within parameters measured.
• Develop and maintain protocol for maintain department wide volunteer faculty credentialing.
• Design and create tools to capture data, run/build reports and conduct analysis for purpose of measuring productivity and identifying trends/patterns that represent opportunities to improve and increase operational efficiency.
• Partner with senior leadership for review and data interpretation and then participate in plan development and implementation.
• Perform other duties as assigned.

Benefits

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100%25 coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level