Innovations
for Poverty Action (IPA) discovers and promotes effective solutions to global
poverty problems. IPA designs, rigorously evaluates, and refines these
solutions and their applications together with decision-makers to ensure that
the evidence created is used to improve opportunities for the world’s poor.
Since our founding in 2002, IPA has worked with over 350 leading academics to
conduct over 450 evaluations in 51 countries. This research has informed
hundreds of successful programs that now impact millions of individuals
worldwide.

Job Summary: The Research Associate, Data Analysis will assist
in the cleaning, analysis and presentation of data collected over several
months of fieldwork for the SMS Arua Project. The position is short term, and
will last for approximately two months.
The study (SMS Arua) evaluates a text message platform that allows
citizens in Arua District, Uganda to send free, anonymous messages about public
service deficiencies directly to the district government. Data collection
exercises have included, among other things, social network analyses, data from
public service providers, and governmental administrative data. The Principal
Investigators for this study are Guy Grossman (University of Pennsylvania),
Jonathan Rodden (Stanford), and Melina Platas Izama (Stanford).

Key Duties and Responsibilities:

Using STATA to clean, analyze and visualize
survey data.
In charge of coordinating closely with all
the actors involved in the project, including other Research Associates,
IPA, Social Impact, USAID, GAPP, and the Principal Investigators (PI)
Liaising closely with PIs to analyze and
present data collected during fieldwork
In charge of writing and presenting results
for eventual publication

Qualifications, Skills and Experience:

The applicant for the Research Associate,
Data Analysis vacancy should hold a Bachelor’s degrees in Economics,
Social Sciences (please indicate quantitative coursework), Political
Science (please indicate quantitative coursework), Public Policy (please
indicate quantitative coursework), Statistics, Mathematics or equivalent.
Strong preference for current or matriculated
masters students in the above listed fields
Familiarity with randomized controlled trials
preferred
Highly advanced data analysis and programming
skills in STATA
Demonstrated ability to work independently
and flexibly with a preference for prior experience working remotely
and/or digitally
Fluency in English with strong communication
skills

How to Apply:

All
suitably qualified and interested candidates should complete the J-PAL/IPA
common application online, Opens the employer’s application pageApply Now →. After completing
a brief registration, choose the Research job category, then select “Temporary
Research Associate, Data Analysis” Most applications for research positions
require you to include at minimum two letters of recommendation, a statement of
purpose (cover letter), CV, and transcripts.

Note
that you are able to submit your application before your references complete
their recommendation letters; however, you must include their contact
information before submitting your application.

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