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Inside Higher Ed · 3 weeks ago

Research Data Analyst 2

Stanford, CA

Full-time

Onsite

Mid, Senior Level

$104K/yr - $128K/yr

3+ years exp

Inside Higher Ed is seeking a Research Data Analyst 2 for Stanford University School of Medicine and the Heart Center Clinical and Translational Research Program. This role involves extracting and analyzing clinical and operational data, developing data pipelines, and ensuring data quality and compliance.

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Responsibilities

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

Qualification

SQLPythonRBioinformaticsStatistical analysisData visualizationGoogle Cloud PlatformData managementUNIX/LinuxLongitudinal data analysisMentoring

Required

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

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

Three Years Of Experience In Bioinformatics, including the analysis of longitudinal data, utilizing programming and query languages including Sql, R and Python, database management

Domain knowledge (national cardiac registries) of PAR and single ventricle physiology datasets

Mentoring staff in data analysis and data management

Preparing complex research data, performing advanced statistical analysis including Cox regression and multivariable modeling for journal publications and presentations

Working UNIX/Linux environment

Cloud-based computing platforms such as Google Cloud Platform

Developing and maintaining live dashboards and complex data visualizations specifically tailored for monitoring and improving outcomes in pediatric cardiology