Research Data Analyst 2

California, United States
Jan 05, 2021
End of advertisement period
Mar 05, 2021
Contract Type
Full Time

Stanford University, School of Medicine, Institute for Stem Cell Biology and Regenerative Medicine

The Newman lab ( is a team of biologists, computer scientists, and computational biologists working to develop new data science approaches that help address key challenges in cancer biology, with a focus on understanding the cellular hierarchies and stromal elements that underlie tumor initiation, progression, and metastasis.

We are seeking a Research Data Analyst 2 to manage and analyze large amounts of information, typically technical or scientific in nature, independently with minimal supervision.

Duties include:

  • 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.

* - Other duties may also be assigned


  • Master’s degree or PhD in Biostatistics, Statistics, Bioinformatics or Other Health Sciences related field preferred.
  • Three to five years of computational biology experience preferred.
  • Strong communication skills (verbal and technical); ability to communicate technical information to all audiences.


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.


  • Experience with systems management like LINUX and UNIX.
  • Demonstrated proficiency with programming languages such as R or Python.
  • Desire and drive to work in a fast-paced and highly team environment.
  • Excellent organization and documentation skills.
  • Experience collaborating under minimal supervision in a team environment on data-related issues for clinical studies.
  • Basic knowledge and demonstrated experience using and applying analytical software, database management system software, database reporting software, database user interface and query software, and data mining software.
  • Ability to collect data using a variety of methods, such as electronic documentation study, to improve or expand databases.
  • Detail oriented with ability to execute complex protocols.
  • Proficient at multitasking.
  • 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.


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


  • Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
  • Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
  • Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide,

Additional Information

  • Schedule: Full-time
  • Job Code: 4752
  • Employee Status: Regular
  • Grade: I
  • Requisition ID: 87529