Company: University of Washington
Posted on: June 24, 2022
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INSTITUTE FOR HEALTH METRICS AND EVALUATION Job Location: Other
Location, Seattle Campus Job Location Detail: Office in located in
Seattle; position is eligible to work fully remote within the U.S.
(excluding U.S. territories) - Posting Date: 03/31/2022 - Closing
Info: Open Until Filled - Salary: Salary is commensurate with
experience and education - Union Position: Yes Shift: First Shift -
Notes: As a UW employee, you will enjoy generous benefits and
work/life programs. For a complete description of our benefits for
this position, please visit our website, click here. - As a UW
employee, you have a unique opportunity to change lives on our
campuses, in our state and around the world. UW employees offer
their boundless energy, creative problem solving skills and
dedication to build stronger minds and a healthier world.
UW faculty and staff also enjoy outstanding benefits, professional
growth opportunities and unique resources in an environment noted
for diversity, intellectual excitement, artistic pursuits and
The Institute for Health Metrics and Evaluation (IHME) is an
independent research center at the University of Washington. Its
mission is to deliver to the world timely, relevant, and
scientifically valid evidence to improve health policy and
practice. IHME carries out its mission through a range of projects
within different research areas including the Global Burden of
Diseases, Injuries, and Risk Factors (GBD); Future Health
Scenarios; Cost Effectiveness and Efficiency; Resource Tracking;
and Impact Evaluations. Our vision is to provide policymakers,
donors, and researchers with the highest-quality quantitative
evidence base so all people live long lives in full health.
IHME is committed to providing the evidence base necessary to help
solve the world's most important health problems. This requires
creativity and innovation, which is cultivated by an inclusive,
diverse, and equitable environment that respects and appreciates
differences, embraces collaboration, and invites the voices of all
IHME team members.
IHME has an outstanding opportunity for a Researcher to join our
Future Health Scenarios (Forecasting) team to develop and improve
our models for forecasting disease burden and implement custom
scenarios to understand the impact of different policies and
programs on health outcomes. We are looking for someone ready to
advance their career in global health research. IHME researchers
analyze and produce key estimates for their assigned research team
and will assess all available quantitative data - including those
on causes of death, epidemiology, and a range of determinants such
as education and income - from surveys, vital registration,
censuses, literature, registries, and administrative records. Using
established modeling tools and through creation of novel code,
researchers incorporate all relevant data to produce the most
up-to-date and scientifically credible results.
The Future Health Scenarios team forecasts GBD inputs and results
(burden of more than 350 diseases and injuries and more than 80
risk factors for all GBD geographic locations) to provide
policymakers, donors, researchers, and the general public with the
highest-quality future estimates to make decisions that improve
You will be integrally involved in developing new models,
producing, critiquing, improving, and disseminating results. You
already have a command of epidemiology, statistics, or disease
modeling with a strong technical background, and we will help you
develop an understanding of our core research and methodology. Our
researchers work with senior research leads and external
collaborators and take part in the intellectual exchange about how
to improve upon and disseminate the results.
You are expected to interact successfully with a wide range of
partners and to describe complex analyses and results concisely.
Overall, Researchers are critical members of agile, dynamic
research teams. This position is contingent on project funding
--- Develop a core understanding of the Future Health Scenarios
modeling framework and forecasting models.
--- Under the guidance of experienced scientist and/or faculty,
carry out quantitative analyses and statistical modeling to produce
results for the future health scenarios team. Analyze designated
diseases and risk factors on a given timeline as part of
collaborative research projects for both internal and external
--- Review, assess, and improve results and methods and contribute
substantively to the development of new methods.
--- Build and apply computational and statistical tools and
algorithms to analyze and visualize input data and results.
--- Document code and analytic approaches systematically so that
analyses can be replicated by other team members.
--- Write, test, and use relevant computer code (mostly in Python,
some in R)
--- Lead discussion in research meetings about results and analyses
to vet, improve, and finalize results.
--- Contribute to the creation of presentations, manuscripts, and
funding proposals. Co-author paper(s).
--- Extract data from various sources and databases. Format,
transform, review and assess data sources to determine their
relevance and utility for ongoing analysis. Understand key data
sources and variations in these across and within countries.
--- Maintain scientific awareness and intellectual agility with
data, methods, and analytic techniques.
--- Other duties as assigned that fall within reasonable scope of
--- Master's degree in public health, health metrics science,
epidemiology, statistics, biostatistics, math, economics,
quantitative social sciences or related discipline plus 1 year
related experience or equivalent combination of education and
--- Proven interest and experience in a given disease, risk, key
indicator, methodological area, and the related data sources and
--- Advanced coding skills in R or Python (Python strongly
preferred) and a strong willingness to become an expert.
--- Experience working with large data sets and demonstrated
ability to synthesize data and correct for known biases.
--- Strong analytic, critical thinking, and quantitative
--- Ability to professionally and effectively communicate and work
with other staff at all levels in order to achieve team goals for
the analyses and related outputs.
--- Results and detail-oriented individual that can initiate and
complete tasks under tight deadlines and changing priorities both
independently and in a team environment. Flexibility with hours and
workload is key.
--- Excellent communication skills, both oral and written.
--- Ability to work both independently and in collaboration with a
--- A long-term interest in a research position contributing to the
overall mission of our Institute.
--- A commitment to working to alongside others at IHME to
illuminate the health impacts of systemic racism and to work within
IHME to make our organization more diverse and inclusive. See
IHME's DEI statement here:
--- Experience with time series analysis and machine learning
--- Track record of success in co-authorship on scientific papers,
presenting results, and representing research at meetings.
Conditions of Employment:
--- Weekend and evening work sometimes required.
--- This position is open to anyone authorized to work in the U.S.
The UW is not able to sponsor visas for staff positions.
--- Office is located in Seattle, Washington. This position is
eligible to work fully remote in the U.S.; work schedule required
to overlap 50% of IHME office hours, between 8 a.m. and 6 p.m.
The application process for UW positions may include completion of
a variety of online assessments to obtain additional information
that will be used in the evaluation process. These assessments may
include Workforce Authorization, Cover Letter and/or others. Any
assessments that you need to complete will appear on your screen as
soon as you select "Apply to this position". Once you begin an
assessment, it must be completed at that time; if you do not
complete the assessment you will be prompted to do so the next time
you access your "My Jobs" page. If you select to take it later, it
will appear on your "My Jobs" page to take when you are ready.
Please note that your application will not be reviewed, and you
will not be considered for this position until all required
assessments have been completed.
Applicants considered for this position will be required to
disclose if they are the subject of any substantiated findings or
current investigations related to sexual misconduct at their
current employment and past employment. Disclosure is required
under Washington state law .
Committed to attracting and retaining a diverse staff, the
University of Washington will honor your experiences, perspectives
and unique identity. Together, our community strives to create and
maintain working and learning environments that are inclusive,
equitable and welcoming.To request disability accommodation in the
application process, contact the Disability Services Office at
206-543-6450 or firstname.lastname@example.org .COVID-19 VACCINATION
REQUIREMENTGovernor Inslee's Proclamation 21-14.2 requires
employees of higher education and healthcare institutions to be
fully vaccinated against COVID-19 unless a medical or religious
exemption is approved. Being fully vaccinated means that an
individual is at least two weeks past their final dose of an
authorized COVID-19 vaccine regimen. As a condition of employment,
newly hired employees will be required to provide proof of their
COVID-19 vaccination. View the Final candidate guide to COVID-19
vaccination requirement webpage for information about the medical
or religious exemption process for final candidates.
Keywords: University of Washington, Seattle , RESEARCHER, FORECASTING, Other , Seattle, Washington
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