Job Opportunity: Research and Content Intern (Paid)

Data-Pop Alliance is looking for a Research and Content Intern. We are an international nonprofit created in 2013 out of the Harvard Humanitarian Initiative (HHI), the MIT Media Lab and ODI. We bring together researchers, experts, practitioners, and activists to change the world with data through three pillars of work: diagnosing local realities and human problems with data and AI; mobilizing capacities, communities, and ideas towards more data literate societies, and transforming the systems and processes that underpin our societies and countries. 

DPA has partnered with organizations such as the Inter-American Development Bank, UNDP, UN ESCWA, GIZ (German development agency), the Vodafone Institute, Oxfam México and other key international stakeholders to develop projects in Africa, Latin America and the Caribbean, the MENA region and Asia. We have also deployed over 20 workshops in 14 different countries. To learn more about DPA, please visit our website or read our 2020-2022 report here.

Dates: 3 months, full-time. 

Location: Preferably Brazil (open to other Latin American countries).

Work modality: Remote.

Scope of Work

Reporting to the Project Manager in Brazil and working closely with the Project and Research Manager, the Research Intern will produce research in the fields of gender, data, development, Covid-19, with specific focus in African countries. Amongst others, primary activities for the Research and Content Intern include:

                                  Qualitative Research (40%)

    • Complete research tasks as assigned, such as conducting literature reviews and background research; finding, organizing, and analyzing qualitative data; and preparing memos, briefs, reports, and presentations on a variety of topics, including Gender Equality, ethics, insecurity, violence, and broadly, on Data4Development topics related to gender and human rights. This may include reading and summarizing external studies and reports related to our work, to include best practices and current trends in Data4Development, as well as the use of AI and Big Data in the international development field.

    • Edit, revise and suggest revisions for ongoing research and project documentation.

    • Scope current data initiatives in the gender studies field, particularly tied to the issues of gender-based violence (GBV), violence against women and girls (VAWG) and the implications of COVID-19. 

  •  

Quantitative Research (40%) 

  • Support the Data Science team to gather, examine and analyze existing disaggregated data related to gender equality in Latin America, Africa, and other regions (knowledge on quantitative research methodologies desired).

  • Support the Project Manager and Officers and collaborate with Government Officials, National Statistics Offices and International Organizations in gathering and analyzing relevant data.

Content Creation  (20%)             

  • With assistance from our staff, create content based on interviews and outreach with our current network of researchers and experts to be published on our blog and shared in social media.

  • Propose and write content for the blog on a periodic basis, with support of the Communications Manager.

  • Translate (Spanish-English or Portuguese-English) project documentation (including reports, articles, blogs) when necessary.

Participate in meetings with other DPA researchers.

Other tasks and duties as required.

Profile/Qualifications

  • Recent graduate (or student in last semester of university) with a degree in International Relations, Public Policy, Political Science, Economics, or other social science fields. 

  • Strong interest in research at the intersection of gender and data, such as health, migration, livelihoods and gender-based violence (GBV).

  • Excellent oral and written communication skills in English and Spanish (fluent in both). Portuguese fluency is strongly desired.

  • Ability to work with people from different cultural backgrounds.

  • Ability to multitask, while being proactive, analytical and organized.

  • Familiarity and experience with qualitative and quantitative research and analysis (proven knowledge of R and/or Python, STATA and/or WordPress are a plus).

  • Strong computer skills, including proficiency in MS Office applications (Word, Excel, PowerPoint, Outlook). 

  • Comfortable with remote teams and processes. 

Candidates should be able to work independently, manage their time wisely, and meet deadlines. They should be detail-focused, reliable, professional, and possess strong research, writing, editing, and analysis skills, as well as excellent communication, and interpersonal skills.

Remuneration 

$500 USD (monthly)

Recruitment process:

Qualified candidates are requested to submit the following items in English: CV (one page), a cover letter (800 words max), and one writing sample (2 pages max, in English) to jobs@datapopalliance.org with the subject line “Research and Content Intern” by June 4, 6:00pm EST. 

Equal opportunity

Data-Pop Alliance employs personnel without regard to race, ancestry, place of origin, color, ethnic origin, language, citizenship, creed, religion, gender, sexual orientation, age, marital status, physical and/or mental handicap or financial ability. While remaining alert and sensitive to the issue of fair and equitable treatment for all, Data-Pop Alliance has a special concern with the participation and advancement of members of four designated groups that have traditionally been disadvantaged in employment: women, visible minorities, aboriginal peoples and persons with disabilities.

Share
Keywords
Author(s)
Share
Recommendations

Project Report

Feminist Urban Design: A Gender-Inclusive Framework for Cities

The inception report “Feminist Urban Design: A Gender-Inclusive Framework for Cities,” developed

Toolkit

FAIR Process Framework

Work by Data-Pop Alliance on steps 1-5 has been integrated into FAIR

Event Paper

Politics vs. Policy in Disinformation Research: A Systematic Literature Review

Despite the wealth of research on disinformation, knowledge production is unevenly distributed