Postdoctoral Research Fellowship

Harvard University

Cambridge (MA)

On-site

USD 70,000 - 85,000

Full time

10 days ago

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Job summary

Harvard University in Boston invites applications for a Postdoctoral Research Fellowship in the Global Health and Population (GHP) division of the Harvard T.H. Chan School of Public Health.

The selected candidate will conduct health-economic modeling, cost-effectiveness analyses, and equity-focused evaluations under Associate Professor Stphane Verguet. Required: PhD in health economics or related quantitative field, strong programming (R) skills, and ability to work independently.

Qualifications

  • PhD or equivalent in a relevant quantitative field.
  • Strong quantitative, analytical, and writing skills.
  • Research experience.
  • Proficiency in R or other programming languages.
  • Ability to work independently.

Responsibilities

  • Modeling, economic evaluations and cost-effectiveness analyses of health interventions.
  • Priority setting research in LMICs.
  • Collaborate on research papers and manuscript development.

Skills

Quantitative skills
Analytical skills
Writing skills
Research experience
R programming
Independent researcher

Education

PhD or equivalent in health economics/related quantitative field

Tools

R

Job description

Harvard University

Position Details

Title: Postdoctoral Research Fellowship

School: Harvard T.H. Chan School of Public Health

Department/Area: Global Health and Population (GHP)

Position Description

Associate Professor Stphane Verguet is seeking a highly-motivated and capable postdoctoral researcher with an interest in health economics, health systems, priority setting, and decision sciences. The successful candidate will work with Dr. Verguet on several projects related to priority setting in low- and middle-income countries. The work involves modeling, economic evaluations, and cost-effectiveness analyses of health interventions and policies, including equity and financial risk protection impacts. The successful candidate will have an opportunity to collaborate on research papers and to develop and extend advanced quantitative skills, and preparing multiple manuscripts for publication.

Basic Qualifications

Applicants should have a PhD or equivalent in health economics, health policy, decision sciences, epidemiology, global health, or a related quantitative field.

  • Strong quantitative, analytical, and writing skills
  • Research experience
  • Expert knowledge of R and/or other programming language
  • Demonstrated ability to work independently

The position is based in Boston and is for one year, with the potential for renewal for an additional year.

Special Instructions

Applications should include: Curriculum Vitae, and the names and contact information of two references. Applications will be reviewed on a rolling basis, and offers will be made as soon as possible.

Contact Information

Rashida Simmons

Contact Email: rsimmons@hsph.harvard.edu

Salary Range

$70,000-$85,000

Minimum Number of References Required

2

Maximum Number of References Allowed

2

EEO/Non-Discrimination Commitment Statement

Harvard University is committed to equal opportunity and non-discrimination. We seek talent from all parts of society and the world, and we strive to ensure everyone at Harvard thrives. Our differences help our community advance Harvard’s academic purposes. Harvard has an equal employment opportunity policy that outlines our commitment to prohibiting discrimination on the basis of race, ethnicity, color, national origin, sex, sexual orientation, gender identity, veteran status, religion, disability, or any other characteristic protected by law or identified in the university’s non-discrimination policy. Harvard’s equal employment opportunity policy and non-discrimination policy help all community members participate fully in work and campus life free from harassment and discrimination.

Supplemental Questions

Required fields are indicated with an asterisk (*).

Applicant Documents

Required Documents

  • Curriculum Vitae
  • Cover Letter

Optional Documents

  • Writing Sample 1
  • Writing Sample 2
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