We are seeking an experienced researcher with an understanding of international development and data policy to work between half and full time over the next 16 months as part of the team delivering an ambitious global study. (See overview & application Details | Closing Date: 11th May 2020)
Role profile for research associate: methods and data science
Whilst contributing to the overall work of the research associates team, the research associates for methods and data science will have primary responsibilities for:
- Study design – Refining the research framework for the first edition of the Global Data Barometer to make sure it generates policy and research-relevant insights into data for public good. Contributing to the design of future iterations of the study, as well as the design of sector-specific sub-studies.
- Informing expert survey research – Carrying out rapid literature reviews, evaluating existing indicators, creating, testing and refining survey questions to be included in the Global Data Barometer expert survey. Contributing to training materials to support country experts to generate robust data.
- Secondary indicator analysis – Leading the identification, evaluation, aggregation and analysis of existing secondary global indicators that address key topics of relevance to the Barometer, as well as exploring potential new country indicator data sources through collaboration with big-data and machine-learning specialists. Generating re-usable pipelines for cleaning indicator datasets, addressing missing values, and normalising values for use in the Barometer.
- Statistical analysis – Establishing and documenting processes to collate, normalise and aggregate weighted indicators into sub-indexes and an overall Global Data Barometer country index. Generating summary statistics, tables and charts, and carrying out more advanced statistical analysis to inform project findings.
- Reporting on methods – Creating conference and journal papers on project methodology and findings. Contributing to sector-specific reports.
- Publishing open data – Creating and publishing open datasets with raw and processed study data.
Skills and Experience
- A minimum of masters level qualification or equivalent. Higher qualification (e.g. PhD) or evidence of extended research experience is welcome.
- Experience designing, leading or implementing research in a relevant discipline or field, including but not limited to: social science, data science, political science, internet studies, technology policy, political science, open data, media studies or data governance.
- Quantitative research methods specialism including ability to plan and manage a reproducible data analysis pipeline, working with expert survey and secondary indicator data, and index construction.
- A deep knowledge of relevant global policy debates linked to public data including: open data, data governance, machine-learning, data protection, open government & transparency, data collaboratives and data trusts.
- A track record working on collaborative and/or international research projects, and producing high-quality and accessible research outputs.
- Programming/scripting experience for data analysis – particularly python (pandas) or R.
- Experience of working as part of a remote-working team
- Experience working on projects with international development funders and partners
- Project leadership and management experience.
- Relevant networks in the open government, open data and data policy space.
- Multiple spoken or written languages, particularly Spanish, French and Arabic.
- Experience generating accessible and engaging data visualisations
- Excellent communication skills, and ability to work well across countries and cultures
- Self-motivated, able to work independently and as part of a team
- Able to manage and prioritise a complex workload
- Effective time management and ability to meet deadlines
- A deep commitment to diversity, inclusion and social justice
For other role details, and information on how to apply, please view the main jobs page.