The Basel Institute on Governance is seeking a behavioural scientist with exceptional quantitative skills to join the Prevention, Research and Innovation (PRI) team. This position operates at the intersection of research and practice, focusing on designing experiments and piloting anti-corruption interventions in the field, as well as leading rigorous impact evaluation approaches and statistical analysis to build robust evidence for preventing and reducing corruption. The role offers excellent prospects for academic publication and real-world impact, and involves significant international travel for data collection and intervention design.
Tasks
- Collaborate with PRI team colleagues and external partners to design behavioural experiments and pilot anti-corruption interventions in field and lab settings.
- Lead the design of rigorous impact evaluation approaches, including experimental methods (e.g. randomised controlled trials) and, where randomisation is not feasible, quasi-experimental designs.
- Lead the statistical analysis of experimental and survey data, applying appropriate econometric and causal inference techniques to ascertain impact, effect sizes and direction of causality with a high degree of statistical rigour.
- Design and implement behavioural experiments and surveys, including instrument development, sampling strategies and power calculations.
- Manage the team's databases and data infrastructure, including the development and implementation of data management plans, GDPR compliance, data security and risk management.
- Develop procedures, protocols and rules for experiments, and support ethics approval processes.
- Program and maintain the technical infrastructure for experiments and surveys (e.g. oTree, z-Tree, Qualtrics) and provide organisational support for running experiments in the field.
- Contribute to writing and publishing research outputs, including peer-reviewed articles, working papers, policy briefs and donor reports.
- Communicate findings to technical and non-technical audiences, including practitioners, partner organisations and donors.
- Engage actively with stakeholders, implementing partners and team members throughout the research cycle.
- Support the broader activities of the PRI team concerning research, acquisition, and project design and implementation.
Requirements
- Graduate degree in behavioural science, experimental or behavioural economics, psychology, political science, statistics or a related quantitative discipline; a PhD or equivalent professional research experience is an advantage.
- Demonstrated expertise in the design and implementation of experimental impact evaluations.
- Excellent statistical and econometric skills, including causal inference methods, with proven ability to analyse experimental and observational data (proficiency in R or Stata required).
- Experience designing and implementing behavioural experiments and surveys, including familiarity with standard experimental games, behavioural theories and preference measures.
- Strong data management skills, including experience with data management plans, GDPR and research data risk management.
- Experience programming experiments and surveys in platforms such as oTree, z-Tree (unleashed) and/or Qualtrics.
- Excellent written and spoken English, with a track record of (or strong potential for) publication in peer-reviewed outlets.
- Strong interpersonal skills, intellectual curiosity and the ability to engage with new areas of research.
- Willingness and ability to travel internationally, including to challenging environments.
Benefits
- The Basel Institute is an equal opportunity employer and does not discriminate on the basis of race, religion, colour, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law.
- All employment is decided on the basis of qualifications, merit, and business need.
- Positively evaluated by the Swiss Federal Administration for gender pay equality.
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Über uns
Das Team
You will work with an interdisciplinary team and international partners as part of the Prevention, Research and Innovation (PRI) team.