Research Data Analyst 2

🔍 Stanford, California, United States

📁: Information Analytics

📅   : Mar 10, 2025 Post Date

📅   : 105966 Requisition #

Thanks for your interest in the Research Data Analyst 2 position. Unfortunately this position has been closed but you can search our 392 open jobs by clicking here.

See below requirements

Bachelor’s, MS or PhD in Bioinformatics, Biology or a related field with at least three years of relevant experience
Strong background in bioinformatics, including the analysis of longitudinal data
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.

EDUCATION & EXPERIENCE (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. 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.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

· 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.

CERTIFICATIONS & LICENSES:

None

WORKING CONDITIONS:

Some work may be performed in a laboratory or field setting.

Additional Information