Key Facts

Remote From:

Massachusetts (USA)

Full time

35 - 35K yearly

English

Hard Skills

Data Cleansing Electronic Health Record Applications Economics Regression Analysis Academic Writing Data Policy Development Public Health Laws Data Visualization Outcomes Research Empirical Analysis Descriptive Statistics Statistical Packages Merging Data Policy Analysis Indigenous Studies

Other Skills

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Communication
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Time Management
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Teamwork
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Detail Oriented
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Problem Solving

Roles & Responsibilities

PhD in Economics, Statistics, Public Policy, or a closely related field
4-5 years of research experience in a university or research-institution setting with demonstrated research output
Experience with data cleaning, data merging, and statistical/regression analyses; preferably with electronic health records or health-related data
Proficiency with standard computing resources and statistical analysis software

Requirements:

Access and familiarize themselves with existing electronic health records datasets
Clean and harmonize datasets to be broadly comparable along geographic lines and variables, in collaboration with the faculty member and other team members
Produce standard summary statistics and regression analyses for the research questions as directed by the team members
Gather additional data on national-level policies and interventions related to the project and participate in weekly meetings with principal investigators; work in a fully remote position

Job description

Description of work to be performed/provided: Economic analysis of COVID-19 related mobility restrictions, and related short- and long-term health outcomes using Public Health and related Electronic Health Records. The impact of various place-based policies on the health and socio-economic outcomes of under-represented and Indigenous populations; the intergenerational transmission of inequality and the role of government policies. In particular, the work will include data cleaning, merging and statistical and regression analyses for several existing confidential-use data sets. The analysis will be output in standard research format of tables, figures and written text.

The duties will be: a) Access and familiarize themselves with the existing electronic health records data sets; b) Clean and harmonize to the extent possible these data sets so that they are broadly comparable along geographic lines and questions/variables. This will be conducted in collaboration with the faculty member and other team members; c) produce standard summary statistics and regression analysis for the research question as directed by the team members; d) gather some additional data on existing national level policies and interventions that may be hypothesized to be related to the existing research project; e) Researcher will meet weekly with the PIs on this project and it is feasible for this to be a fully remote position.

Openings: 2

Time: 35 hours per week

Salary Total: $35,000

Start Date: November 15, 2025 - February 28, 2026.

Location: Positions will be remote

Minimum Requirements: A PhD in Economics, Statistics or Public Policy. The ideal candidate would have 4-5 years experience in a research institution or university setting and have demonstrated research output. The candidate should have access to standard computing resources and statistical analysis software.

Please upload your CV and a writing sample into the application below.

The NBER is an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, sex, age, national origin or disability. The NBER will make reasonable accommodation for any disabled applicant, and will provide assistance to disabled applicants as needed during the application process.

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