Designed especially for neurobiologists, FluoRender is an interactive tool for multi-channel fluorescence microscopy data visualization and analysis.
Large scale visualization on the Powerwall.
BrainStimulator is a set of networks that are used in SCIRun to perform simulations of brain stimulation such as transcranial direct current stimulation (tDCS) and magnetic transcranial stimulation (TMS).
Developing software tools for science has always been a central vision of the SCI Institute.
Location: Main Campus
UofU Division of Human Resources
To apply, visit Division of Human Resources careers page and enter job listing PRN14120B

ARUP laboratories and the Scientific Computing and Imaging (SCI) Institute at the University of Utah are offering a post-doctoral position in biomolecular data visualization. ARUP Laboratories is a national clinical and anatomic pathology reference laboratory and a worldwide leader in innovative laboratory research and development. The SCI Institute is an internationally renowned research institute specializing in scientific computing, image processing and analysis, and data visualization. ARUP and the SCI Institute are teaming to collaboratively create innovative methods and tools for the understanding of complex genetic information. An early focus of this work and the position offered is the creation of a visualization tool to display Copy Number Variation data (CNVs) detected by next generation sequencing (NGS) methods for clinical NGS laboratory testing. This work will result in novel and scalable software that enables efficient interpretation of copy number variants from high throughput NGS data by a domain expert.

We seek a highly talented and committed individual with a demonstrated ability to work independently and take on leadership in a multi-disciplinary research environment. The successful candidate will contribute to the world-class research and software development and have the opportunity to develop their research, publication, grants writing and presentation skills under mentorship from established faculty investigators.

Non-Technical Skills:

Excellent oral and written communication skills are mandatory. A willingness to collaborate in a highly diverse, multi-disciplinary environment is also essential.

Salary Range: $55,000 - $65,000, based on previous experience

Position Requirements:
• Ph.D. in computer science, bioinformatics, or a closely related field
• A track record of publications in visualization and in bioinformatics journals/venues; ideally in both.
• A passion for software engineering and for bridging the gap between science and industry.
• Experience with modern full-stack web development (JavaScript, Web Frameworks, Python, Databases)
• Experience with large software development projects is a plus

Benefits: The University of Utah offers a very competitive benefits package:

How to Claim Vet Preference

Applicants claiming Veterans or Disabled Veterans preference must submit a photocopy of their DD-214 and complete the Utah State Veteran's Preference Addendum.

Comments: Please apply to the University of Utah Human Resources Department ( Please include the names of at least three references along with a curriculum vitae and list of publications.

Start date: Immediate

The initial appointment will be for a one-year period, with the possibility of an extension based upon performance and availability of funding.

Job Closing Date: Continuous recruitment: no closing date.

Equal Employment Opportunity

The University of Utah, an AA/EO employer, encourages applications from women and minorities, and provides reasonable accommodation to the known disabilities of applicants and employees.

The SCI Institute: The SCI Institute is a world-class research institute located within the new Warnock Engineering Building on the University of Utah campus. We are a highly dynamic, driven group of over 200 faculty, staff, and students. The overarching goals of the SCI Institute's scientific computing research are to create new techniques, tools, and systems, by which scientists may solve problems affecting various aspects of human life. We believe that to advance the state-of-the-art and create meaningful computational solutions for such complex systems, one needs to advance research in a number of areas within scientific computing, including: visualization, simulation, and modeling. Furthermore, for this algorithmic and software research to have a real impact outside of scientific computing and computer science, these components must be integrated with data and application specific knowledge within intuitive software systems, problem solving environments (PSEs) or "computational workbenches". The SCI Institute presents a highly challenging, collaborative work environment that can be deeply rewarding for the right individual. Further information is available at