PRE DOCTORAL FELLOW IN HEALTH J PAL SOUTH ASIA

1. The fellowship is open to a candidates currently enrolled in the final two years of a PhD in Economics or Public Policy with a significant focus on health OR a PhD in public health with a focus on quantitative research methods.
2. The candidate should have demonstrated research interests and experience in health (or human development broadly defined) in developing countries and impact evaluation (demonstrated by coursework and/or collaborative research activities).
3. Significant applied econometrics skills are expected.
4. Additional factors that will favorably influence selection include: i. Experience in evidence synthesis and reviews of randomized evaluations. ii. Evidence of independently managing complex projects with multiple stake holders. iii. Previous experience working in South Asia, especially with government partners.

Stated amount: Not Available

1. Specific funding amounts for the Pre‑Doctoral Fellowship are not always publicly listed annually on the official J‑PAL website.
2. Many J‑PAL fellowship programs provide a competitive stipend or compensation as part of project support, especially when fellows are involved in long‑term research collaborations or formally supported initiatives.
3. However, unlike some standardized international predoc fellowships, J‑PAL South Asia does not publicly publish a fixed stipend amount for this fellowship in its general overview material. Number of Scholarship is the subject to availability, for more please visit official website.

No Information Available. Candidate Apply Online: https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/startJobApp.html In a single PDF uploaded to the resume field, please include:

1. A cover letter that includes: a. A brief description of your experience as a research assistant and with any independent research (e.g. thesis or other research projects). b. A description of your familiarity with various statistical and computer packages (e.g. STATA, SAS, Matlab, Python, Perl etc.). c. The names of two references (and their email and phone contact information) who will be providing written references. At least one reference must be someone for whom you have worked as a research assistant. Please indicate which references you have worked for as a research assistant. Letters of reference should be emailed to aecabral@mit.edu. Letters are preferred as soon as possible after the submission of the application but applications can be considered before the letters arrive.
2. A current CV
3. A transcript (unofficial is fine)
4. A condensed transcript. Please provide a written list of classes on the transcript that are in economics, mathematics, statistics or computer science. For each please include columns for the name of the course, the date taken, the school at which the course was taken, and the main textbook(s) used in the course. Please include any courses you are currently taking.
5. The date on which you are available to start work.
6. We will begin reviewing applications on a rolling basis as we receive them. Short-listed applicants will be asked to complete a technical exercise and may progress to an interview.
7. MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

We will begin reviewing applications on a rolling basis as we receive them. Shortlisted applicants will be asked to complete a technical exercise and may progress to an interview. Other Info

1. Work with data sets; clean and run checks to spot errors; prepare data for analysis; prepare data for publication and publishing data; and communication with research partners about data requests and analysis.
2. Conduct a range of empirical analyses including econometric analysis of RCTs and comparison to alternative quasi-experimental methods, power calculations, and descriptive analyses.
3. Assist with literature reviews and questionnaire writing, new and renewal institutional review board applications, and the preparation of academic papers being submitted to journals.
4. Assist with onboarding new staff. Maintain project documentation and share best practices with other members of the research team.