Responsibilities
- Design geospatial analysis strategies in collaboration with research teams to convert economic hypotheses into measurable remote sensing indicators such as changes in farming intensity, road conditions, population density, and infrastructure growth.
- Identify, assess, and acquire satellite or mobile network data from public and open-source platforms for targeted regions, ensuring data meets quality, timing, and research requirements.
- Perform preliminary spatial analysis on pilot datasets to detect shifts in land use, agricultural practices, infrastructure development, and economic activity patterns linked to prior interventions.
- Evaluate the effectiveness of remote sensing proxies in capturing market-level transformations and validate findings against theoretical models of economic ripple effects.
- Create automated, well-documented analysis pipelines using Python, R, or GIS tools to enable consistent, scalable detection of environmental and infrastructural changes over time.
Benefits
- Competitive and equitable compensation is provided for contract positions.
- Pay rates are determined using an independent, accredited salary benchmarking service, accounting for role, location, and local cost of living.
- A no-negotiation pay policy is enforced to maintain fairness and consistency in compensation across all roles.
Compensation
To be determined based on candidate experience and geographic location
Work Arrangement
Remote (Worldwide)
Team
Contract role supporting research and impact evaluation
Contract Duration
3 months (approximately 50% capacity)
Travel Requirement
No travel required; this is a fully remote position.
Technical Requirements
Candidates must have access to a high-performance computing environment or cloud-based resources sufficient for processing large-scale satellite imagery and geospatial datasets.
Estimated total compensation for this 3-month contract
To be determined based on candidate experience and geographic location.
Not applicable
