Research Computing Technician in the Biodiversity and Biocomplexity Unit

The position

The Okinawa Institute of Science and Technology Graduate University (OIST; see is a dynamic new graduate university of science and technology in Okinawa Prefecture, Japan. The university is located on 85 hectares of protected forestland overlooking beautiful shoreline and coral reefs. The campus is architecturally striking, and the facilities are outstanding (OIST campus video tour). There are no academic departments, which facilitates multidisciplinary research. Outstanding resources and equipment are provided and managed to encourage easy access and collaboration. English is the official language of the University, and the university research community is fully international, with more than 50 countries represented. OIST is rapidly gaining recognition in the worldwide academic community as a model for excellence in education and research.

Position Summary

The Biodiversity and Biocomplexity Unit (PI: Evan Economo, is seeking to hire a Research Computing Technician. The lab works at the interface of ecology, evolution, natural history, and technology to document, understand, and conserve the diversity of life (see our research and publications for further details). We integrate a variety of approaches including field expeditions, collections, phylogenetics, 3D imaging and analysis, geographic modeling, biodiversity genomics, biodiversity informatics, and quantitative theory.   


The hired individual will be responsible for computational support of lab research including designing and maintaining research databases, lab websites, data analysis pipelines, application support for utilizing HPC resources, new biodiversity-related technology development, and other computational tasks as needed. This will be a multifaceted position and there will be opportunities to lead projects in areas of mutual interest.


A Bachelor’s degree in science or technical fields, and experience with scientific research computing are required. The candidate should have a good baseline of programming and scripting skills, and the ability to learn independently. Familiarity with computational phylogenetics and bioinformatics, SQL-based database design and administration, and at least basic familiarity with server administration are strongly preferred. Experience with one or more of the following would be highly desirable but is not required: bioinformatics, ecoinformatics, 3D tomographic modeling, virtual/augmented reality, image analysis/computer vision, web design, GIS. Our lab emphasizes a respectful workplace, constructive environment, and inclusive culture, and we welcome all applicants.

Compensation and Benefits

In accordance with the OIST Employee Compensation Regulations


Submission Documents

Applicants should prepare a single pdf file including :

  • Cover letter detailing your background and interest in the position
  • CV
  • List of references that may be contacted later in the process.

This should be sent via email to with the subject “Technician Application”.

Applicants will be considered until the positions are filled, but submission by January 6 will guarantee full consideration.

* Prior to the start of employment all new hires are required to successfully complete a background check. Personal information including employment history and academic background should be submitted to OIST after a conditional offer of employment

  • OIST Graduate University is an equal opportunity, affirmative action educator and employer and is committed to increasing the diversity of its faculty, students and staff. The University strongly encourages applications from underrepresented groups.
  • Information provided by applicants or references will be kept confidential, documents will not be returned. All applicants will be notified regarding the status of their applications.
  • Please view OIST policy for rules on external professional activities
  • Further details about the University can be viewed on the OIST website
Job Type
Starting Date
As early as possible
Employment Term

Full-time, fixed term appointment for 1 year, with renewal anticipated contingent on performance. Contract initially with 3-month probationary period (inclusive).

Working Hours

Working hours: 9:00-17:30 (Discretionary)

Report To
Professor Evan P. Economo
Job Location
Main Campus
Application Due Date
06 January 2023

We thank all those who apply but only those selected for further consideration will be contacted.

If you have any question, please contact us