Analyst, IT, SR

Be You.

The Department of Surgery, Laboratory of Transformative Administration is seeking a Senior IT Analyst to support research, clinical quality, innovation, and operational IT projects across the Duke Department of Surgery. Working with clinicians, researchers, informaticists, data engineers, and operational leaders, the analyst turns complex questions into well-defined analyses and develops reliable data science, machine learning, and large language model applications. The role emphasizes sound methods, responsible use of healthcare data, reproducible work, and clear communication of results and limitations.

Minimum Requirements:

• Bachelor’s degree in computer science, data science, statistics, informatics, engineering, or a related field, or an equivalent combination of education and relevant experience, subject to Duke’s approved job classification requirements.
• Experience using Python, R and SQL for data preparation, analysis, or application development.
• Experience applying statistical and machine learning methods, assessing model performance, and documenting reproducible analytical work.
• Ability to work with multidisciplinary partners, translate requirements into technical work, and explain findings and limitations clearly.

Preferred Qualifications:

• Experience with healthcare, EHR, clinical research, or quality improvement data.
• Experience developing or evaluating large language model applications, including prompt design, retrieval-based approaches, or structured evaluation.
• Experience with Microsoft Fabric, including lakehouses, notebooks, pipelines, or related data science workflows.
• Familiarity with GitHub or GitLab for version control and collaboration
• Familiarity with R is helpful but not required.
• Experience with privacy-conscious data handling, research governance, data quality checks, and deployment or monitoring of analytic tools.

Other Requirements:

• This position is hybrid eligible.

Be Bold.

Position Description:

• Partner with clinical, research, quality, innovation, and operational teams to define project goals, analytic questions, success measures, deliverables, and feasible timelines.
• Assess source systems alongside informaticists on EHR data definitions and extraction to build and validate analytic datasets.
• Develop analytic plans that reflect the study population, data generating process, potential confounding or bias, and intended research or operational use.
• Perform data exploration, descriptive and statistical analyses, feature engineering, and model development using reproducible code and appropriate validation methods.
• Develop, adapt, and evaluate machine learning and large language model applications for approved use cases, including clinical text analysis. Assess accuracy, reliability, error patterns, subgroup performance, and limitations before recommending use.
• Build and maintain reusable code, data pipelines, documentation, and analytic tools. Apply version control, code review, testing appropriate to risk, and change management practices.
• Use Microsoft Fabric capabilities, including lakehouses and pipelines, where appropriate and available in approved Duke environments.
• Create visualizations, reports, presentations, and interactive outputs that explain findings, uncertainty, and actionable implications to technical and nontechnical audiences.
• Collaborate on implementation, monitoring, and maintenance plans for models or analytics used beyond a one-time analysis; document data sources, assumptions, model versions, and evaluation results.
• Follow applicable institutional requirements for data access, privacy, security, IRB approvals, and data use agreements; coordinate with the appropriate governance and IT partners when projects involve sensitive data or system integration.
• Contribute analytic methods and results to abstracts, manuscripts, grant proposals, and presentations; mentor students, residents, and collaborators as appropriate.
• Communicate priorities, progress, risks, and dependencies to project teams and department leadership, including the Director of Data Science.

Choose Duke.

Join our award-winning team and be part of an inclusive culture that values excellence, innovation, and discovery. Duke University is consistently ranked among the top universities worldwide and is renowned for its cutting-edge research across disciplines. Beyond the engaging work, you'll also benefit from Duke's competitive benefits package, including health insurance plans, generous paid time off, retirement programs with employer contributions, tuition assistance for employees and their children, and more.

Screening of Applications: Screening continues until the position is filled.