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Stanford UniversityPosted 24 days ago

Research Data Analyst 2 (Hybrid Opportunity)

Full-time
Hybrid
3+ years
Competitive
Posted 24 days ago

Responsibilities Develop and evaluate methods to identify rare-disease cohorts using structured EHR data and clinical text Build reproducible pipelines that organize clinical events into patient diagnostic timelines Create annotation and review tools that help clinicians validate extracted information and guide improvements Investigate data-quality issues and extraction errors, using clinical feedback to refine compu

Posted
24 days ago
Source
fa-exuf-saasfaprod1.fa.ocs.oraclecloud.com
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Develop and evaluate methods to identify rare-disease cohorts using structured EHR data and clinical text
  • Build reproducible pipelines that organize clinical events into patient diagnostic timelines
  • Create annotation and review tools that help clinicians validate extracted information and guide improvements
  • Investigate data-quality issues and extraction errors, using clinical feedback to refine computational methods
  • Develop performance metrics and automated tests for timeline extraction and downstream disease-risk models
  • Translate analyses into clear datasets, figures, reports, presentations, and manuscript contributions
  • Document methods, validation results, and limitations so research findings can be understood and reproduced
  • Collaborate with clinical and technical colleagues to shape methods, interpret results, and advance the research
  • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness
  • Determine additional data collection and reporting requirements
  • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data
  • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others
  • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation
  • Serve as a resource for non-routine inquiries such as requests for statistics or surveys
  • Test prototype software and participate in approval and release process for new software
  • Provide documentation based on audit and reporting criteria to investigators and research staff

Qualifications

  • Bachelor's degree and three years of relevant experience or combination of education and relevant experience
  • Experience in a quantitative discipline such as economics, finance, statistics or engineering
  • Substantial experience with MS Office and analytical programs
  • Excellent writing and analytical skills
  • Ability to prioritize workload

Required skills

EconomicsFinanceStatistics

Full job description

Responsibilities

  • Develop and evaluate methods to identify rare-disease cohorts using structured EHR data and clinical text
  • Build reproducible pipelines that organize clinical events into patient diagnostic timelines
  • Create annotation and review tools that help clinicians validate extracted information and guide improvements
  • Investigate data-quality issues and extraction errors, using clinical feedback to refine computational methods
  • Develop performance metrics and automated tests for timeline extraction and downstream disease-risk models
  • Translate analyses into clear datasets, figures, reports, presentations, and manuscript contributions
  • Document methods, validation results, and limitations so research findings can be understood and reproduced
  • Collaborate with clinical and technical colleagues to shape methods, interpret results, and advance the research
  • Prioritize and extract data from a variety of sources such as notes, survey results, medical reports, and laboratory data, and maintain its accuracy and completeness
  • Determine additional data collection and reporting requirements
  • Design and customize reports based upon data in the database. Oversee and monitor regulatory compliance for utilization of the data
  • Use system reports and analyses to identify potentially problematic data, make corrections, and eliminate root cause for data problems or justify solutions to be implemented by others
  • Create complex charts and databases, perform statistical analyses, and develop graphs and tables for publication and presentation
  • Serve as a resource for non-routine inquiries such as requests for statistics or surveys
  • Test prototype software and participate in approval and release process for new software
  • Provide documentation based on audit and reporting criteria to investigators and research staff

Benefits

  • Hybrid schedule, with onsite work three days per week, subject to operational needs.
  • Glassdoor
  • 4.3
  • Stanford University is a teaching and research university that focuses on graduate programs in law, medicine, education, and business.
  • Stanford, California, USA
  • http://www.stanford.edu
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Qualifications

  • Bachelor's degree and three years of relevant experience or combination of education and relevant experience
  • Experience in a quantitative discipline such as economics, finance, statistics or engineering
  • Substantial experience with MS Office and analytical programs
  • Excellent writing and analytical skills
  • Ability to prioritize workload
  • Bachelor's degree and three years of relevant experience or combination of education and relevant experience.

Required skills

  • Economics, Finance, Statistics

Experience

  • 3+ years

Job details

Employment type

Full-time

Seniority level

3+ years

Date posted

Oct 20, 2026

Work mode

Hybrid

Job source

fa-exuf-saasfaprod1.fa.ocs.oraclecloud.com

Company

Stanford University

Information Technology & AI

See all 10 jobs from Stanford University →
  • Stanford, CA
  • Information Technology & AI

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