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
research activities for the Department of Statistics, RERF,
in accordance with relevant program policies. Establishes
internal departmental standards and procedures.
financial management of the department. Monitors
departmental budgets to ensure efficient and effective use
of resources. Reviews and approves expenditures.
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
and conducts statistical research to answer complex
scientific questions. Provides statistical consulting to
other RERF departments. Also conducts independent research
on statistical methodologies.
collaborative research activities across RERF and with
external investigators. Serves as a resource to other RERF
scientific and programmatic advice to RERF directors when
scientific papers and presentations and responds to reviewer
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
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.