(Application deadline: 11th May 2020)
The following lists contains the responsibilities to be covered across all three research associate roles we are recruiting for. We recognise that applicants may have very different work histories and combinations of skills. Therefore, applicants should not feel that that they need to meet every requirement, or that they will work on every task listed. Instead, please indicate which areas of the work are the best fit for your skills and experience.
The research associates team will, with support from the principal investigator, be responsible for:
- (1) Project management and coordination – Working with a network of regional research hubs and sectoral partners to establish partnership agreements, discuss data collection standards and timelines, track task completion and project progress, monitor data collection, meet funder reporting requirements, maintain good communication, and support collaborative working.
- (2) 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.
- (3) 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. Working with partners to prioritise questions, and to create light-touch training materials for country experts. Managing quality of survey results, leading survey analysis, and carrying out additional direct country research or review where required.
- (4) Research capacity building – Working with regional research hubs and country researchers to support high-quality research on topics in open data, data science, data governance and machine-learning.
- (5) Secondary indicator analysis – Leading the identification, evaluation, aggregation and analysis of existing secondary global indicators that address key topics relevant 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.
- (6) 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.
- (7) Report writing – Designing and co-authoring an overall Global Data Barometer report, and sector-specific sub-reports, combining quantitative and qualitative analysis, case studies, charts and data visualisations. Creating conference and journal papers on project methodology and findings. Contributing to sector-specific reports.
- (8) Research communications – Developing communications strategy for the study, creating blog posts and social media content, taking part in presentations and interviews on study findings, and managing study launch and dissemination.
- (9) Fundraising – Identifying and approaching potential project funders, contributing to a 10-year project fundraising strategy, working with regional research hubs and sectoral partners to secure local match-funding, contributing to donor reporting.
- (10) Evaluation – Developing and implementing an evaluation strategy for the project.
Person specification (general)
Successful candidates will be able to demonstrate the following 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.
- 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.
- Experience of working as part of a remote-working team
- Experience working on projects with international development funders and partners
- Quantitative research methods specialism including ability to plan and manage a reproducible data analysis pipeline.
- 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.
- Programming/scripting experience – particularly python (pandas) or R
Successful candidates will be able to demonstrate the following personal attributes.
- 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
You can apply by explaining how your skills and experience meet with any combination of the responsibilities set out above. However, we have also identified three role profiles to help guide applications.
To find out more, and to see details of how to apply, please view the main jobs page.