📁
Information Analytics
📅
88198 Requisition #

Stanford University is seeking a Research Data Analyst 1 to manage and analyze large amounts of information, typically technical or scientific in nature, under the direction of project researchers, investigators, or managers. The candidate will be working in the Integrative Biomedical Imaging Informatics (IBIIS) Division of the Department of Radiology, working in collaboration with the Stanford Center for Artificial Intelligence in Medicine and Imaging (AIMI). The candidate will help with enhancing the value of medical imaging in healthcare by accelerating imaging data acquisition and analysis. Research in IBIIS and AIMI enables improving health by advancing the clinical and basic sciences in radiology, while improving our understanding of biology and the manifestations of disease, by pioneering methods in the information sciences that integrate imaging, clinical and molecular data.

 

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.
  • Analyze data processes in documentation.
  • Collaborate with faculty and research staff on data collection and analysis methods.
  • Provide documentation based on audit and reporting criteria to investigators and research staff.

 

* - Other duties may also be assigned.

 

DESIRED QUALIFICATIONS:

  • Bachelor’s degree in computer science, bioengineering, electrical engineering, or other related quantitative fields. Previous laboratory experience preferred.

 

EDUCATION & EXPERIENCE (REQUIRED):

  • Bachelor's degree in related scientific field.

 

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

  • Experience with programming and data exploration and analysis frameworks (for example, Python, Matlab, etc).
  • Experience in developing software algorithms on local and cloud platforms.
  • General understanding of scientific principles. Demonstrated performance to use knowledge and skills when needed.
  • Demonstrated ability to apply theoretical knowledge of scientific principals to problem solving.
  • Ability to maintain detailed records of experiments and outcomes.
  • General computer skills and ability to quickly learn and master computer programs, databases, and scientific applications.
  • Ability to work under deadlines with general guidance.
  • Excellent organizational skills and demonstrated ability to accurately complete detailed work.
  • Experience working with medical images is an added plus.
  • Experience working with inverse problems is an added plus.
  • Experience with convolutional neural networks is an added plus.

 

PHYSICAL REQUIREMENTS*:

  • 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.

 

WORKING CONDITIONS:

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

 

WORK STANDARDS:

  • 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, http://adminguide.stanford.edu.

 

My Submissions

Track your opportunities.

My Submissions

Similar Listings

School of Medicine, Stanford, California, United States

📁 Information Analytics

School of Medicine, Stanford, California, United States

📁 Information Analytics

School of Medicine, Stanford, California, United States

📁 Information Analytics

Global Impact

We believe in having a global impact

Working Here

We believe you matter as much as the work

Group Dance Class In A Gym
Nora Cata Portrait

I love that Stanford is supportive of learning, and as an education institution, that pursuit of knowledge extends to staff members through professional development, wellness, financial planning and staff affinity groups.

Nora Cata

School of Engineering

Students Working With A Robot Arm
Philip Cheng Portrait

I get to apply my real-world experiences in a setting that welcomes diversity in thinking and offers support in applying new methods. In my short time at Stanford, I've been able to streamline processes that provide better and faster information to our students.

Philip Cheng

School of Medicine

Students Working With A Robot Arm
Denisha Clark Portrait

Besides its contributions to science, health, and medicine, Stanford is also the home of pioneers across disciplines. Joining Stanford has been a great way to contribute to our society by supporting emerging leaders.

Denisha Clark

School of Medicine

Students Working With A Robot Arm
Laura Lind Portrait

I like working in a place where ideas matter. Working at Stanford means being part of a vibrant, international culture in addition to getting to do meaningful work.

Laura Lind

Office of the President and Provost

Getting Started

We believe that you can love your job

Join Stanford in shaping a better tomorrow for your community, humanity and the planet we call home.

View All Jobs

  • 4.4 Review Ratings
  • 89% Recommend to a Friend
  • 90% Approve of President