Research Data Archivist

The Okinawa Institute of Science and Technology Graduate University (OIST) is a model for change in education and research with the best international graduate students, working side by side with world-class faculty in modern well-equipped laboratories. Beautifully situated on the island of Okinawa, OIST relies on a cross-disciplinary approach, with an emphasis on creativity and exchange, to offer unique, individualized graduate training. OIST is a university with no departments, eliminating artificial barriers between people working in different fields, but many nationalities, with students and faculty being attracted from all over the world. Concentrating initially on Neuroscience, Molecular Sciences, Mathematical Sciences, Environmental and Ecological Sciences and Physical Sciences, OIST is bringing some of the best brains in the world to Okinawa to transform the way science and education are done in the global academic world.

Position summary:
The Scientific Computing and Data Analysis (SCDA) section, under the Research Support Division (RSD), manages OIST research data storage and promotes the effective use of central common research data storage in OIST research environment. The SCDA also manages OIST scientific computing resources and services to support computationally intensive research studies, ranging from bioinformatics to computational physics.

SCDA seeks a Research Data Archivist (RDA) with strong quantitative and organizational skills to support OIST mission in providing research data management (RDM) and archiving, to the research activities of faculty, support staff and students

Under the direction of the SCDA Leader, the RDA will reinforce, promote and establish new procedures, tools and services for OIST research data archiving and management.

Location 

1919‐1 Tancha, Onna‐son, Okinawa, Japan 904-0412

Responsibilities 

  1. Investigate, recommend, implement and refine methodologies and practices for sustainable and secure digital archiving, for both born-digital objects and objects that become digital over time
  2. Build and maintain list of national and international data repositories for numeric research data for all the research fields represented at OIST
  3. Consult with OIST research units to gather specific knowledge about OIST research data production, and to increase the awareness of OIST RDM procedures, tools and services
  4. Establish training programs that support researchers' adoption of RDM best practices as part of normative research practice. Then, conduct research data management and archiving seminars and workshops
  5. Work with OIST researchers to ensure that archived research data are sufficiently documented along with the associated technical metadata (checksum, creation, modification and last access dates, file formats, file sizes, etc.)
  6. Work with the library section in collecting information on publication submitted at OIST institutional repository
  7. Work together with SCDA staff and other RSD data providers (DNA sequencing, imaging, etc.) to coordinate acquisitions and cataloging of metadata and data resources, to help develop relevant web-based resources for data maintenance and management
  8. Promote use of OIST research data services and provide consulting services on machine-readable data for faculty, research support staff, and student
  9. Develop written documentation for all phases of archival activities to assist users in making full use of the common resources and services
  10. Work with the FAO (Faculty Affair Office) to provide data and information as needed for investigation
  11. Any other duties appropriate to the grading of the post

Qualifications 

(Required)

  1. BS, MS or equivalent
  2. Excellent verbal and written communications skills in English
  3. Able to communicate effectively with a wide range of people, by showing interest and carefully listening to their needs
  4. Experience working, interacting or supporting researchers in an academic setup
  5. Ability to work independently and strong quantitative and organizational skills
  6. Knowledge of professional office software is required

(Preferred)

  1. Good command of Japanese
  2. Experience in dealing with research data, as a researcher or a technician
  3. User knowledge and experience in computer software, web application
  4. Knowledge or experience in numeric data and large research data set
  5. Background knowledge or experience in statistics and statistical software packages

Report to 

Research Support Leader, Scientific Computing and Data Analysis Section

Starting Date 

As early as possible

Term & Working Hours 

Term:
Full-time, fixed term appointment for 2 year. Contract initially with 3 month probationary period (inclusive). This contract may be renewed.

Working hours:
Flextime (core time 10:00-15:00) 7.5hrs per day (Multiplied by prescribed working days per month)

Compensation & Benefits 

Compensation:
In accordance with the OIST Employee Compensation Regulations

Benefits:

- Relocation, housing and commuting allowances

- Annual paid leave and summer holidays

- Health insurance (Private School Mutual Aid http://www.shigakukyosai.jp/ ), welfare pension insurance (kousei-nenkin), worker’s accident compensation insurance (roudousha-saigai-hoshou-hoken)

How To Apply 

Apply by uploading your submission documents HERE*.
*This is a secure file uploading system for handling confidential materials.

HR Recruiting Support Section
If you have any questions, please contact us at recruiting[at]oist.jp.
(replace [at] with @ before using this email address)

Submission Documents 

- Cover letter in both English and Japanese

- Curriculum vitae in both English and Japanese

- Names and contact information of 3~5 referees, one of which should be a previous employer

* Please be sure to indicate where you first saw the job advertisement.

Application Due Date 

Applications deadline will continue until the position is filled.

Declaration 

  • 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 www.oist.jp.