This job has expired

Research Data Analyst 2

Stanford University
Closing date
Jun 23, 2021

View more

Administrative Jobs
Academic Affairs, Research Staff & Technicians, Technology, Analysts & Programming
You need to sign in or create an account to save a job.

Job Details

Research Data Analyst 2

Stanford University

Job Number:

Grade: I

Situated in Stanford's highly dynamic research environment, the Stanford PEDSnet team seeks a Bioinformatician/Research Data Analyst 2 to manage and analyze clinical data (i.e. electronic health records, administrative claims data, etc.) under the direction of the PEDSnet leadership team in conjunction with the Stanford SoM Research IT team. The Bioinformatician/Research Analyst will perform a variety of research related activities, including but not limited to technical requirements preparation, data management, and formal report preparation. The Bioinformatician/Research Data Analyst will partner with researchers and clinicians to enable effective and efficient use of the PEDSnet Common Data Model, PCORnet Common Data Model, and/or OMOP/OHDSI databases along with their respective cohort query tools and interfaces. This individual will help researchers and clinical staff maximize their understanding, interpretation and use of these clinical and research tools for more informed and productive research, clinical trials, patient care and quality outcome projects. Specific responsibilities are listed below.
  • Develop processes to measure and ensure quality, completeness and integrity of research data assets, including data/metadata documentation, data model specification and documentation of ontologies and terminologies to maximize utilization of data
  • Work closely with the Hospital Epic teams to understand the Clarity Data Model, Caboodle Data Model, other ancillary systems and registries that will enrich the research ready datasets.
  • Develop ETL (extract, transform, load) specifications to go from raw data to research ready datasets. Work closely with the engineering team on production implementation of the ETLs and methods. Establish and refine the process for final analysis and validation before dataset publication. Run QA metrics as needed.
  • Support and implement ETL specifications and quarterly refreshes to the latest common data model (CDM) version; perform ETL updates necessary for CDM expansion
  • Execute site-level queries as part of PEDSnet or PCORnet network and participate in data working groups to discuss data model updates and changes.
  • Employ new and existing tools to interpret, analyze, and visualize relationships in data. Create databases and reports, develop algorithms and statistical models, and perform statistical analyses appropriate to data and reporting requirements.
  • Use system reports and analyses to identify potentially problematic data, make corrections, and determine root cause for data problems from input errors or inadequate field edits, and suggest possible solutions.
  • Develop reports, charts, graphs, and tables for use by investigators and for publication and presentation.
  • Collaborate with faculty and research staff on data collection and analysis methods.
  • Represent team on national research projects and grants through presentation of papers, participation in phone calls, working groups and other venues. Assist with grant proposals.
  • Identify best practices in the community and help to shape and implement policies that enhance data quality, compliance and customer support.
  • Identify and deploy methods to notate data quality for enhanced research reproducibility.
  • Provide recommendations and observations to leadership regarding strategies to improve user satisfaction and increase efficiencies. Lead efforts to develop needs requirements for new data sources, improvements for software tools and other clinical database services.
  • Provides training to team members and users as appropriate.
  • Other duties as assigned

Ideal person for this position is an individual with deep knowledge of clinical data, quality analysis and validation methodologies; and strong interpersonal skills needed to work collaboratively with technical and non-technical stakeholders within and outside the Stanford research community, including faculty, researchers, clinicians, hospital administrators, engineering teams, IT staff and research coordinators.

The Bioinformatician/Research Data Analyst will work closely with Research IT, other key Stanford School of Medicine teams (Research Informatics Center, Quantitative Sciences Unit, Stanford Research Computing Center), Stanford Children's Health teams to develop high quality coherent research-ready biomedical datasets. This individual will be responsible for continuous evaluation of the health of these datasets and enterprise tools used by the research community and for developing new analytical methods supporting novel research.

  • MS or PhD in Bioinformatics, Data Science, Biostatistics, Epidemiology, or a related field
  • 2+ years of experience performing database management and data analysis in research analyses and visualization work in a healthcare research or clinical setting, or other related experience
  • Experience with Electronic Health Records e.g., Clarity Data Model, Caboodle Data Model
  • Experience with common data models like OMOP or PEDSNet or PCORNet
  • Experience with ontologies, terminologies, UMLS, or Semantic Web
  • Ability to mine and analyze complex structured and unstructured data sets
  • Experience working in academic and/or research environments.
  • Familiarity with regulatory requirements such as Institutional Review Board (IRB), and HIPAA. Knowledge of regulatory and data privacy issues.
  • Fluency in SQL, Python and R.
  • Self-motivated with a demonstrated ability to work independently, and to exercise independent judgment in developing solutions to complex problems.
  • Good interpersonal and communication skills to interact with technical and non-technical stakeholders.


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.



  • Sitting in place at computer for long periods of time with extensive keyboarding/dexterity.
  • Occasionally use a telephone.
  • Rarely writing by hand.

* - Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.


Work may be performed in an office setting or remotely


Location: School of Medicine, Stanford, California, United States
Classification Level:

To be considered for this position please visit our web site and apply on line at the following link:

Stanford is an equal opportunity employer and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

Copyright ©2017 Inc. All rights reserved.

Posted by the FREE value-added recruitment advertising agency



Change the world. And yourself.

Stanford University has changed the world, over and over again.

We are one of Silicon Valley's largest employers - and also one of the most unique. Our mission is to educate future leaders and promote interdisciplinary, world-class research and teaching. This passion makes Stanford an intensely creative, rewarding, and challenging place to work. At the same time, our traditions of respect and collaboration sustain a humane, supportive environment in which to pursue your life and your career. 

At Stanford you'll work with bright, diverse, dedicated people. You'll find encouragement to learn and grow. You'll enjoy excellent benefits and an outstanding environment.

Stanford Facts at a Glance

Opened 1891

Student Enrollment

  • Undergraduates: 6,980
  • Graduates: 8,897


  • 8,180 contiguous acres in six governmental jurisdictions
  • Nearly 700 major buildings
  • 97% of undergraduates live on campus


  • 5,300 externally sponsored projects
  • $1.33 billion total budget


  • 2,043 faculty members
  • 21 Nobel laureates are currently members of the Stanford community
  • 5:1 student to faculty ratio

Stanford University is an Equal Employment Opportunity and Affirmative Action Employer and is committed to recruiting and hiring qualified women, minorities, protected veterans and persons with disabilities.

Find Us
United States
You need to sign in or create an account to save a job.

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert