Day Rate: £450/dayLocation: Remote (UK-based)Contract Duration: 3 months, with potential to extend
Role OverviewWe're looking for a Senior Research Scientist to lead data-driven projects focusing on women's health and family planning in developing countries. You'll manage the full lifecycle of survey collection-from planning to analysis-whilst leveraging R to unlock impactful insights. Please note: extensive hands-on experience with both survey collection and R is absolutely essential. Only candidates who meet these criteria will be considered.
Key Responsibilities-
Survey Collection & Data Analysis
- Oversee the design, deployment, and analysis of large-scale surveys in multiple regions.
- Develop and maintain data pipelines in R, ensuring high-quality data cleaning, manipulation, and reporting.
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Statistical & Data Science Techniques
- Apply robust data science methods (e.g. causal analyses, predictive modelling) to extract actionable insights.
- Communicate findings effectively to technical teams, stakeholders, and funders.
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Project Management
- Lead end-to-end project delivery, setting milestones, coordinating with cross-functional teams, and ensuring on-time results.
- Use GitHub or similar tools for version control and collaboration.
- Extensive Expertise in R
- Proven track record working with large datasets, statistical modelling, and data manipulation in R.
- Hands-On Survey Collection Experience
- Ability to design, deploy, and analyse surveys at scale, ensuring data integrity and reliability.
- Project & Stakeholder Management
- Experience overseeing complex data-driven projects, meeting deadlines, and working across diverse teams.
- Educational Background
- An advanced degree is advantageous but not strictly required-real-world experience is what counts most.
- Familiarity with women's health and family planning challenges, especially in developing countries.
- Previous collaboration with public health or health tech organisations.
- Strong presentation and communication skills to translate data findings into clear recommendations.
If this sounds like you, drop us your CV along with an overview of your proven experience using R for survey collection and analysis.