The U.S. National Academies of
Sciences, Engineering, and Medicine invite applications for
a Chief of Statistics position at the Radiation
Effects Research Foundation (RERF) in Hiroshima, Japan.
The successful candidate will lead the
Department of Statistics, actively participating in
statistical research on three large prospective cohorts of
Japanese atomic bomb survivors and their offspring: Life
Span Study, Adult Health Study, and F1 Study. These cohort
studies have been in progress for almost 70 years and have
produced a rich dataset for research on the long-term health
effects of ionizing radiation exposures. The Department of
Statistics collaborates closely with other RERF departments
to carry out multidisciplinary research on A-bomb dosimetry,
epidemiology, clinical studies, radiobiology, and genomics.
The Chief of Statistics has full
accountability for the performance of the department and is
responsible for staff planning, resource allocation,
management, and actively participating in the department’s
research activities as well as supervising and mentoring
high-level professional department staff. The Chief also
carries out independent and collaborative research on
statistical methodologies that can be used to advance RERF’s
Essential Job Duties
Manages research activities for the
Department of Statistics, RERF, in accordance with relevant
program policies. Establishes internal departmental
standards and procedures.
Oversees financial management of the
department. Monitors departmental budgets to ensure
efficient and effective use of resources. Reviews and
Manages and mentors departmental staff.
Cultivates a work environment that fosters teamwork and
encourages effective communications. Provides leadership and
mentors employees. Trains and develops employees to
successfully perform current responsibilities and encourages
development of staff for future roles. Interprets and
ensures consistent application of organizational policies.
Initiates personnel actions, including performance and
compensation reviews and disciplinary actions.
Plans and conducts statistical research to
answer complex scientific questions. Provides statistical
consulting to other RERF departments. Also conducts
independent research on statistical methodologies.
Fosters collaborative research activities
across RERF and with external investigators. Serves as a
resource to other RERF research staff.
Provides scientific and programmatic advice
to RERF directors when requested.
Writes/edits scientific papers and
presentations and responds to reviewer comments.
Represents RERF within and outside the
institution, and reports to internal and external audiences
on the outcomes of RERF’s activities, including at national
and international scientific meetings.
Remains up to date on current research trends
and best practices. Identifies and applies advanced
technologies to improve research capabilities.
Maintains an appropriate standard of
confidentiality. When handling secure, privileged,
sensitive, or confidential information and matters,
maintains strict confidence and exercises care to prevent
disclosure to others. Accesses confidential information for
work-related reasons only, following the policies and
procedures of the organization. Ensures that any privileged,
sensitive, or confidential information is securely stored,
disposed of, and transmitted according to the Institutional
guidance. Ensures procedures are in place to maintain and
protect confidentiality and to prevent disclosure.
Required Knowledge, Skills, and Abilities:
for this position you must be a U.S. citizen
and willing to relocate to Japan. The National Academies
and RERF provide an attractive relocation and compensation
package for this position, including housing and K-12
Ph.D. or Sc.D. degree in statistics or
in radiation health effects-related research and / or
bioinformatics / computational biology
Ten years of related professional
experience, five of which were in a supervisory capacity.
Demonstrated record of scientific
leadership and research productivity.
Substantial knowledge and interest in
advanced statistical analysis methods.
Strong program / project planning,
management and facilitation skills.
Ability to manage, train, and mentor staff.
Capable of understanding and sharing
technical / scientific issues with diverse audiences.
Ability to work successfully in a
binational team environment.
Ability to address important /
controversial issues using effective persuasion,
negotiation, and compromising skills.