This job has expired

Research Data Analyst 1

Stanford University

View more

You need to sign in or create an account to save a job.

Job Details

Research Data Analyst 1
School of Medicine, Stanford, California, United States

Schedule: Full-time
Job Code: 4945
Employee Status: Regular
Grade: G
Requisition ID: 92608

Grade: G

FTE: 100%

The Division of Hematology/Oncology and Pulmonary Medicine in the Department of Pediatrics at Stanford University is seeking a Research Data Analyst (RDA1) to manage and analyze scientific data/information under the direction of the PI and partnership with project researchers for the Gawad and Kuo Labs. The labs are located in the same module within the new Biomedical Innovations Building on Stanford Campus. The candidate will engage in multidisciplinary projects in a dynamic research environment.

Duties include:
  • Collect, manage and clean datasets.
  • Employ new and existing tools to interpret, analyze, and visualize multivariate 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.
  • Develop analytical methods for automated multiplexed image analysis, including background removal, denoising and batch normalization.
  • Application of machine learning methods to multiplexed mass cytometry or imaging data and clinical data discriminate differences between patient groups
  • Develop user-friendly tools to incorporate these algorithms to routine laboratory work.
  • Use current deep-learning approached applied in the lab and develop new machine-learning approaches for identifying biological entities at different scales within multiplexed images, including cells, subcellular compartments and multi-cellular structures.
  • Leverage existing tools for single cell analysis (i.e. SPADE, tSNE, SCAFFOLD, CITRUS) to summarize datasets, reduce dimensionality and identify differences between experimental groups. Modify these tools or develop new tools to include additional features available from imaging data, such as cell shape and size.
  • Work collaboratively with postdoctoral researchers and other staff in the Gawad and Kuo labs to facilitate their data analysis.

* - Other duties may also be assigned

QUALIFICATIONS: This section includes qualifications from the JDL and cannot to be edited or changed. Add your desired qualifications and knowledge, skills and abilities as needed. This section can be pasted in the Taleo requisition in section number 3 - Description (External) under “Qualifications - External”.

  • Master's degree in Mathematics, Statistics, Computer Science or related field.
  • Research experience in computational biology desired; specifically, in analysis of high-throughput data.
  • Experience in designing data analysis pipelines is an advantage.
  • Knowledge and experience with sequencing analysis is preferred
  • Experience with Python/Perl is preferred
  • Proficiency working in a unix environment with bash scripting is required
  • Some experience computing with R is required


Bachelor's degree or a 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.
  • Strong 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.

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

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 ©2021 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.

You need to sign in or create an account to save a job.

Get job alerts

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

Create alert