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SPHHS Job Listings

Post-Graduate Fellow

Organization:
Institute for Health Metrics and Evaluation
Date Posted:
November 6, 2009
Job Type:
Fellowship
Degree:
Doctoral
Location:
Other US

Post-Graduate Fellowship
Institute for Health Metrics and Evaluation
 

Call for Applications
The Post?Graduate Fellowship is an intensive training program that provides opportunities both for
self?directed research and interdisciplinary collaboration in health metrics. Strong candidates for this
program have graduate?level training in quantitative methodology from one of the following areas:
health policy, economics, mathematics, computer science, statistics, biostatistics, epidemiology,
health services, demography, engineering, physics, medical sciences, or other related fields.
The Post?Graduate Fellowship (PGF) combines academic research, education and training, and
professional work with progressive, on?the?job training and mentoring from an illustrious group of
professors and researchers.
 

The purpose of the fellowship is to:
• Enhance skills in conducting in?depth, methodological research on a variety of global health
topics with mentoring from faculty and researchers who are the leading minds in their fields.
• Advance knowledge of quantitative analytical methodologies and their application to global
health.
• Develop understanding of the current global health landscape and its challenges.
• Strengthen the ability to design and implement research projects and mentor junior
researchers.
• Prepare fellows for future positions in academia, national health agencies, international
organizations, and foundations.
 

The Institute for Health Metrics and Evaluation is a new organization at the University of
Washington. Its mission is to monitor global health conditions and health systems as well as to
evaluate interventions, initiatives, and reforms. It uses cutting?edge techniques to tackle some of the
most difficult and critical questions in global health and find answers that will become the foundation
for better policies and, ultimately, better health.
 

IHME fellows work in one or two of six IHME focus areas:
• Generating systematic estimates of health outcomes, including mortality, causes of death,
and the overall burden of disease.
• Measuring the coverage of specific health interventions and estimating the quality of care.
• Tracking, measuring, and analyzing donated funding for health and how it affects national
government health spending.
• Estimating the costs and effectiveness of health service delivery platforms and interventions.
• Conducting impact evaluations of policies, interventions, and programs and assessing health
system performance.
• Developing survey instruments and creating analytical tools to harness the value of data from
national and international health information systems and from locally available sources.
 

Fellows receive training through on?the?job research, methods workshops, access to University of
Washington courses, and on?site lectures and seminars. Fellows contribute directly to IHME’s
research agenda through their involvement in work groups, development of new methods, and
managing and driving research projects to meet deliverables.
 

Post?Graduate Fellowships are appointed at IHME for one year, with the possibility of renewal for a
second year upon mutual agreement. The salary is $50,000. As University of Washington employees,
fellows are eligible for an insurance benefits package that includes a choice among several medical
and dental insurance plans, life insurance, and long?term disability. Please note that there is no
retirement package included with this appointment.
 

Eligibility
To be considered for a Post?Graduate Fellowship, candidates must have the following:
• A PhD or MD
• A strong quantitative background
• Advanced research experience, especially with data analysis and statistical methods.
 

Application requirements

Applications for the IHME Post?Graduate Fellowship are due February 15 and must include:
1. A cover letter that includes:
• Your full contact information (address, phone number, and email).
• The name, affiliation, and full contact information of three references.
• Which of IHME’s areas of work you are most interested in.
• How you learned about the program.
2. Your curriculum vitae or resume.
3. A personal statement describing your interest in IHME and your professional and academic
interests and objectives. Personal statements should be between 750 and 1,000 words.
4. Three sealed letters of recommendation.
5. The educational transcript from your highest degree attained. If your transcripts are not in
English, please also provide a listing of all coursework with grade and credit hour information.
6. An English reprint of your most significant publication or research paper.
7. Proof of proficiency in English for candidates whose native language is not English.
 

Candidates who have completed a degree wholly in English can provide a copy of their
degree. All other candidates should send a copy of their scores on an approved English
language test, specifically:
* The Princeton Test of English as a Foreign Language (TOEFL): For the paper?based test,
minimum overall score of 600, including a minimum score of 5.0 in the test of written
English; for the computer?based test, minimum overall score of 250, including a
minimum score of 5.0 in the test of written English; for the Internet?based test, a
minimum overall score of 100, including a minimum score of 24 in the test of written
English.
* The British Council International English Language Testing System (IELTS): A minimum
score of 7.0 overall, including a minimum score of 7.0 in the written component.


 

Contact Information:


How to submit your application
Applications can be mailed to:
Institute for Health Metrics and Evaluation
University of Washington
Attention: PGF Program
2301 Fifth Ave., Suite 600
Seattle, WA 98121, USA
CVs/resumes and personal statements may be emailed to pgf@healthmetricsandevaluation.org
More information about the PGF program and the Institute for Health Metrics and Evaluation can be
found at: http://www.healthmetricsandevaluation.org

 

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