Research Data Analyst

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🔍 Stanford, California, United States 📁 Information Analytics 📅 Jul 18, 2025 Post Date 📅 105966 Requisition #

• Extract clinical and operational data from internal data repositories into usable formats and develop pipeline for ongoing data extraction with new data generation, using SQL, Python, R, or other appropriate languages.
• Compile survey data and clinical research data into usable formats.
• Identify relevant publicly available datasets and registries, from the National Institutes of Health, multi-institutional collaboratives, and various other sources.
• Obtain and harmonize external data with local data, including activities such as converting among data storage formats, merging based on common identifiers, excluding irrelevant data, consolidating naming and labeling strategies, and generating analysis-ready datasets.
• Conduct feature engineering and missing data imputation as needed, and conduct reliability and validity checks.
• Restructure datasets for analyses conducted independently and with other quantitative investigators as needed.
• Analyze large, multi-dimensional and longitudinal data sets including Cox regression and multivariable modeling, employing prediction modeling or hypothesis testing approaches as appropriate.
• Design and implement tools to independently interpret, analyze and visualize complex data from PAR and single ventricle physiology patients, including clinical, registry, operational, and survey data (including national data registries).
• Identify currently unavailable data elements from available data sets, develop strategies for obtaining necessary data, and prioritize data collection approaches based on needs of division stakeholders.
• Maintain comprehensive records of available and obtainable datasets, including data elements, dates, numbers of observations, etc. (this includes developing dashboards for data visualization, geared towards pediatric cardiology patients).
• Oversee and maintain access to data resources, ensuring compliance with all local and external regulatory and privacy requirements, including the IRB, funding agencies, and database guidelines.
• Devise and implement data quality checks to ensure data are clean, accurate, and ready for analysis.
• Refine data pipelines as needed to minimize inaccurate or incomplete data. This includes utilizing Google Cloud platform tools to manage and analyze data.
• Serve as the technical expert for the Division of Pediatric Cardiology for all new statistical design.
• Directly manage and mentor team members in data quality and management.

May telecommute within area of intended employment at employer’s discretion.

All members of the Department of Pediatrics are engaged in continuous learning and improvement to foster a culture where diversity, equity, inclusion, and justice are central to all aspects of our work. The Department collectively and publicly commits to continuously promoting anti-racism and equity through its policies, programs, and practices at all levels.

Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs.

The pay range for this position working in the California Bay area is $ - $ annually.

Master’s in bioinformatics, Biology, Public Health, Biostatistics or a related field and three years’ experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics. Or, Bachelor’s in Bioinformatics, Biology, Public Health, Biostatistics, or a related field and five years’ experience as a data analyst, research data analyst or occupation in bio-informatician or in biostatistics.

• Bioinformatics, including the analysis of longitudinal data,…